CDSB Course Catalog
Semesters
Accounting
Mandatory Courses
ACC 910 Area Seminar
ACC 910 Area Seminar Accounting (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Philipp Dörrenberg, Prof. Dr. Johannes Voget, Prof. Dr. Holger Daske
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 12.05.2026 | 09:00 – 10:00 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 920 Brown Bag Seminar
ACC/
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Holger Daske, Dr. Sebastian Kronenberger
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | O 048 Seminarraum; Schloss Ostflügel |
| ⚠ Wednesday (weekly) | 11.02.2026 – 25.02.2026 | 13:45 – 15:15 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
Caution: Individual dates in the series marked with ⚠ have changed. Please check the portal for details.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 903 Empirical Accounting Research I: (Research Methods)
ACC 903 Empirical Accounting Research I (Research Methods) (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Holger Daske
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 904 Empirical Accounting Research II: (Causal Inference)
ACC 904 Empirical Accounting Research II (Causal Inference) (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Jannis Bischof
Date(s):
| Tuesday (single date) | 03.02.2026 | 10:00 – 12:00 | |
| Tuesday (single date) | 10.02.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 17.02.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 03.03.2026 | 10:00 – 12:00 | |
| Tuesday (single date) | 10.03.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 17.03.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 24.03.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 21.04.2026 | 10:00 – 12:00 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 802 Applied Taxation Research I: Foundations and Core Methods
Applied Taxation Research I (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Live & on-campus
Registration procedure:
This course does not have limited capacity.
Instructor(s):
Prof. Dr. Johannes Voget, Prof. Dr. Philipp Dörrenberg
Date(s):
| Tuesday (weekly) | 10.02.2026 – 24.03.2026 | 08:30 – 11:45 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 08:30 – 11:45 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Academic Writing Course
E922 English Academic Writing for Business and Economics (Stahl) (Course, english)
Course type:
Course
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Konrad Stahl
Date(s):
| Saturday (single date) | 14.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 20.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 13.03.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 803 Corporate Finance
FIN 803 Corporate Finance (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Ernst Maug
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 06.03.2026 | 10:15 – 15:15 | 210 Seminarraum; L 9, 1–2 |
| Friday (single date) | 20.03.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 17.04.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 08.05.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 22.05.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
Mental health during dissertations (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Maren Prignitz
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
Description:
It is not uncommon for doctoral dissertations to be characterized by periods of difficulty and frustration, which can impact mental health. As well as factors directly related to the dissertation itself, structural and personal issues may contribute to mental health challenges.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
Bridge Course from the course offer of the CDSB (Finance)
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Bridge Course from the course offer of the CDSB (Information Systems)
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Marketing)
MKT 902 Advances in Marketing Research (Lecture, german)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Language of instruction:
german
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Florian Kraus
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 15:30 – 17:00 | 107 Bibliothek/ |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Taxation)
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Political Science)
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Psychology)
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Sociology)
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Cities, Housing Markets, and Inequality (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Malte Grönemann
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 15:30 – 17:00 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This graduate seminar offers a rigorous, interdisciplinary examination of the modern city in high-income countries, located at the nexus of Urban Sociology and Urban Economics. Cities are the defining places of our time. With more than half the global population residing in cities — a figure projected to reach two-thirds by 2050 — they are simultaneously the engines of global innovation and wealth creation, and the sites of our deepest social fractures. To understand the city requires moving beyond a single lens. This seminar focuses on integrating the economist’s focus on efficiency, market mechanisms, and spatial equilibrium with the sociologist’s focus on stratification, power structures, and structural inequalities. By bridging this divide, students will gain a holistic toolkit for analyzing cities and urban life.
To give you some examples of questions we will cover: Why do people and firms cluster in space? When do households move? How do neighborhood environments impact individual life chances? What are the mechanisms driving housing crises and patterns of inequality? And how can evidence-based policy foster equitable and sustainable urban futures?
We are going to read a mix of foundational theoretical classics that shaped the field and exemplary work from recent scholarship. Students will learn to critically evaluate literature from both disciplines, allowing them to assess the limitations of purely economic models and to ground sociological concepts in rigorous quantitative evidence. Please be prepared for a reading-intensive seminar covering important formal theoretical work as well as cutting-edge empirical research using advanced statistical methods.
Sessions (preliminary):
– Introduction
– Agglomeration Economies
– Housing Demand and Residential Preferences
– Residential Mobility and Length of Residency
– Neighborhood Formation and Residential Segregation
– Neighborhood Effects
– Crime and Concentrated Poverty
– City and Neighborhood Change
– Housing Supply and City Growth
– Housing Inequality
– Evictions and Homelessness
– Urban and Housing Policy
– Smart and Sustainable Cities
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
Course from the doctoral programs at the CDSE and CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
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1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
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1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
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1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Elective Courses
IS 809 Advanced Data Science Lab II (Text Mining)
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Course from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSB
ACC 922 Decarbonization seminar (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Gunther Glenk, Prof. Ph. D. Stefan Reichelstein
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 924 Analytical Reading Group (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
3
Attendance:
Online, live
Instructor(s):
Dr. Sebastian Kronenberger
Date(s):
| Friday (single date) | 13.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.03.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.04.2026 | 12:00 – 13:30 | |
| Friday (single date) | 22.05.2026 | 12:00 – 13:30 | |
| Friday (single date) | 19.06.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.07.2026 | 12:00 – 13:30 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 924: Seminar in Empirical Banking (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Simon Rother
Date(s):
| Friday (block date) | 13.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 27.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 20.03.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 24.04.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
Description:
Course content
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MKT 902 Advances in Marketing Research (Lecture, german)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Language of instruction:
german
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Florian Kraus
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 15:30 – 17:00 | 107 Bibliothek/ |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 922 Reading Course in Taxation Research (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This course does not have limited capacity.
Instructor(s):
Prof. Dr. Philipp Dörrenberg, Prof. Dr. Johannes Voget
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 13:45 – 15:15 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Finance
Mandatory Courses
FIN 910 Area Seminar
Finance Seminar (Research seminar, english)
Course type:
Research seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Stefan Rünzi, Qi Zhang
Date(s):
| ⚠ Monday (weekly) | 09.02.2026 – 25.05.2026 | 15:30 – 17:00 | 004 EduSpace; L 9, 1–2 |
Caution: Individual dates in the series marked with ⚠ have changed. Please check the portal for details.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 803 Corporate Finance
FIN 803 Corporate Finance (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Ernst Maug
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 06.03.2026 | 10:15 – 15:15 | 210 Seminarraum; L 9, 1–2 |
| Friday (single date) | 20.03.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 17.04.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 08.05.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 22.05.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 804 Econometrics of Financial Markets
FIN 804 Econometrics of Financial Markets (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Tabea Bucher-Koenen
Date(s):
| Tuesday (single date) | 24.03.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 14.04.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 21.04.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 28.04.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 05.05.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 12.05.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 620 Behavioral Finance
FIN 620 Behavioral Finance (Lecture, english)
Course type:
Lecture
ECTS:
6.0 (Modul/e)
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
20
Attendance:
Live & on-campus
Registration procedure:
This course has limited capacity. It is mandatory that you register via Portal2. You can register anytime during the official course registration period (15 January – 5 February 2026). The time of your registration is not relevant as seats are not assigned on a first-come, first-served basis.
Please note that this lecture is accompanied by an exercise class, you can register for it via Portal2.
Please note that this lecture is accompanied by an exercise class, you can register for it via Portal2.
Instructor(s):
Prof. Dr. Martin Weber, Monika Burckhardt
Date(s):
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 08:30 – 10:00 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
Description:
Please find a detailed course description via the following link:
Module Catalog MMM | Universität Mannheim (uni-mannheim.de)
Module Catalog MMM | Universität Mannheim (uni-mannheim.de)
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 620 Behavioral Finance (Exercise, english)
Course type:
Exercise
ECTS:
6.0 (Modul/e)
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Monika Burckhardt
Date(s):
| Wednesday (weekly) | 18.02.2026 – 22.04.2026 | 10:15 – 11:45 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
Description:
Please find a detailed course description via the following link:
Module Catalog MMM | Universität Mannheim (uni-mannheim.de)
Module Catalog MMM | Universität Mannheim (uni-mannheim.de)
FIN 901 Behavioral Finance
FIN 901 Behavioral Finance (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Martin Weber, Monika Burckhardt
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Academic Writing Course
E922 English Academic Writing for Business and Economics (Stahl) (Course, english)
Course type:
Course
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Konrad Stahl
Date(s):
| Saturday (single date) | 14.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 20.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 13.03.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Focus Research Seminar
Corporate Finance Research Seminar (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Ernst Maug
Date(s):
| Thursday (weekly) | 19.02.2026 – 28.05.2026 | 13:45 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Focus Research Seminar Asset Management (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Stefan Rünzi
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | 210 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Focus Research Seminar Corporate Governance (Others, english)
Course type:
Others
ECTS:
Course suitable for:
Language of instruction:
english
Instructor(s):
Prof. Dr. Alexandra Niessen-Ruenzi
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:30 – 12:00 | 210 Seminarraum; L 9, 1–2 |
Focus Research Seminar Financial Institutions (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Oliver Spalt
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 12:00 – 13:30 | 409 Besprechungsraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
Mental health during dissertations (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Maren Prignitz
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
Description:
It is not uncommon for doctoral dissertations to be characterized by periods of difficulty and frustration, which can impact mental health. As well as factors directly related to the dissertation itself, structural and personal issues may contribute to mental health challenges.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
Bridge Course from the course offer of the CDSB (Accounting)
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Information Systems)
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Marketing)
MKT 902 Advances in Marketing Research (Lecture, german)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Language of instruction:
german
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Florian Kraus
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 15:30 – 17:00 | 107 Bibliothek/ |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Taxation)
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Political Science)
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Psychology)
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Sociology)
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Cities, Housing Markets, and Inequality (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Malte Grönemann
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 15:30 – 17:00 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This graduate seminar offers a rigorous, interdisciplinary examination of the modern city in high-income countries, located at the nexus of Urban Sociology and Urban Economics. Cities are the defining places of our time. With more than half the global population residing in cities — a figure projected to reach two-thirds by 2050 — they are simultaneously the engines of global innovation and wealth creation, and the sites of our deepest social fractures. To understand the city requires moving beyond a single lens. This seminar focuses on integrating the economist’s focus on efficiency, market mechanisms, and spatial equilibrium with the sociologist’s focus on stratification, power structures, and structural inequalities. By bridging this divide, students will gain a holistic toolkit for analyzing cities and urban life.
To give you some examples of questions we will cover: Why do people and firms cluster in space? When do households move? How do neighborhood environments impact individual life chances? What are the mechanisms driving housing crises and patterns of inequality? And how can evidence-based policy foster equitable and sustainable urban futures?
We are going to read a mix of foundational theoretical classics that shaped the field and exemplary work from recent scholarship. Students will learn to critically evaluate literature from both disciplines, allowing them to assess the limitations of purely economic models and to ground sociological concepts in rigorous quantitative evidence. Please be prepared for a reading-intensive seminar covering important formal theoretical work as well as cutting-edge empirical research using advanced statistical methods.
Sessions (preliminary):
– Introduction
– Agglomeration Economies
– Housing Demand and Residential Preferences
– Residential Mobility and Length of Residency
– Neighborhood Formation and Residential Segregation
– Neighborhood Effects
– Crime and Concentrated Poverty
– City and Neighborhood Change
– Housing Supply and City Growth
– Housing Inequality
– Evictions and Homelessness
– Urban and Housing Policy
– Smart and Sustainable Cities
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Elective Courses
IS 809 Advanced Data Science Lab II (Text Mining)
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Courses from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSB
ACC 922 Decarbonization seminar (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Gunther Glenk, Prof. Ph. D. Stefan Reichelstein
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 924 Analytical Reading Group (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
3
Attendance:
Online, live
Instructor(s):
Dr. Sebastian Kronenberger
Date(s):
| Friday (single date) | 13.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.03.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.04.2026 | 12:00 – 13:30 | |
| Friday (single date) | 22.05.2026 | 12:00 – 13:30 | |
| Friday (single date) | 19.06.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.07.2026 | 12:00 – 13:30 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 924: Seminar in Empirical Banking (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Simon Rother
Date(s):
| Friday (block date) | 13.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 27.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 20.03.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 24.04.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
Description:
Course content
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
IS 930 Web Scraping for Researchers (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Instructor(s):
Prof. Dr. Jens Förderer
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 922 Reading Course in Taxation Research (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This course does not have limited capacity.
Instructor(s):
Prof. Dr. Philipp Dörrenberg, Prof. Dr. Johannes Voget
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 13:45 – 15:15 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Information Systems
Mandatory Courses
IS 910 Area Seminar
OPM/
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
1
Attendance:
Live & on-campus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 12:00 – 13:30 | O 148 MVV Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Academic Writing Course
E922 English Academic Writing for Business and Economics (Stahl) (Course, english)
Course type:
Course
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Konrad Stahl
Date(s):
| Saturday (single date) | 14.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 20.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 13.03.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
IS 903 Information Systems Theories
IS 903 Information Systems Theories (Lecture, german)
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hartmut Höhle
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
Mental health during dissertations (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Maren Prignitz
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
Description:
It is not uncommon for doctoral dissertations to be characterized by periods of difficulty and frustration, which can impact mental health. As well as factors directly related to the dissertation itself, structural and personal issues may contribute to mental health challenges.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
Bridge Course from the course offer of the CDSB (Accounting)
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Finance)
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Bridge Course from the course offer of the CDSB (Marketing)
MKT 902 Advances in Marketing Research (Lecture, german)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Language of instruction:
german
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Florian Kraus
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 15:30 – 17:00 | 107 Bibliothek/ |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Taxation)
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Political Science)
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Psychology)
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Sociology)
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Cities, Housing Markets, and Inequality (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Malte Grönemann
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 15:30 – 17:00 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This graduate seminar offers a rigorous, interdisciplinary examination of the modern city in high-income countries, located at the nexus of Urban Sociology and Urban Economics. Cities are the defining places of our time. With more than half the global population residing in cities — a figure projected to reach two-thirds by 2050 — they are simultaneously the engines of global innovation and wealth creation, and the sites of our deepest social fractures. To understand the city requires moving beyond a single lens. This seminar focuses on integrating the economist’s focus on efficiency, market mechanisms, and spatial equilibrium with the sociologist’s focus on stratification, power structures, and structural inequalities. By bridging this divide, students will gain a holistic toolkit for analyzing cities and urban life.
To give you some examples of questions we will cover: Why do people and firms cluster in space? When do households move? How do neighborhood environments impact individual life chances? What are the mechanisms driving housing crises and patterns of inequality? And how can evidence-based policy foster equitable and sustainable urban futures?
We are going to read a mix of foundational theoretical classics that shaped the field and exemplary work from recent scholarship. Students will learn to critically evaluate literature from both disciplines, allowing them to assess the limitations of purely economic models and to ground sociological concepts in rigorous quantitative evidence. Please be prepared for a reading-intensive seminar covering important formal theoretical work as well as cutting-edge empirical research using advanced statistical methods.
Sessions (preliminary):
– Introduction
– Agglomeration Economies
– Housing Demand and Residential Preferences
– Residential Mobility and Length of Residency
– Neighborhood Formation and Residential Segregation
– Neighborhood Effects
– Crime and Concentrated Poverty
– City and Neighborhood Change
– Housing Supply and City Growth
– Housing Inequality
– Evictions and Homelessness
– Urban and Housing Policy
– Smart and Sustainable Cities
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Elective Courses
IS 809 Advanced Data Science Lab II (Text Mining)
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Courses from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSB
ACC 922 Decarbonization seminar (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Gunther Glenk, Prof. Ph. D. Stefan Reichelstein
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 924 Analytical Reading Group (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
3
Attendance:
Online, live
Instructor(s):
Dr. Sebastian Kronenberger
Date(s):
| Friday (single date) | 13.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.03.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.04.2026 | 12:00 – 13:30 | |
| Friday (single date) | 22.05.2026 | 12:00 – 13:30 | |
| Friday (single date) | 19.06.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.07.2026 | 12:00 – 13:30 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 924: Seminar in Empirical Banking (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Simon Rother
Date(s):
| Friday (block date) | 13.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 27.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 20.03.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 24.04.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
Description:
Course content
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
IS 930 Web Scraping for Researchers (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Instructor(s):
Prof. Dr. Jens Förderer
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 922 Reading Course in Taxation Research (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This course does not have limited capacity.
Instructor(s):
Prof. Dr. Philipp Dörrenberg, Prof. Dr. Johannes Voget
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 13:45 – 15:15 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Management
Mandatory Courses
Academic Writing Course
E922 English Academic Writing for Business and Economics (Stahl) (Course, english)
Course type:
Course
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Konrad Stahl
Date(s):
| Saturday (single date) | 14.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 20.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 13.03.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MAN 910 Area Seminar
MAN 910 Area Seminar Management (Seminar, english)
Course type:
Seminar
ECTS:
1.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Bernd Helmig
Date(s):
| Wednesday (fortnightly) | 11.02.2026 – 20.05.2026 | 14:00 – 15:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MAN 801 Advances in Entrepreneurship and Management Research
MAN 801 Advances in Entrepreneurship and Management Research (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Michael Woywode, Dr. Robert Strohmeyer, Dr. Christoph Sajons
Date(s):
| Monday (single date) | 09.03.2026 | 11:00 – 16:00 | EO 237 Besprechung; Schloss Ehrenhof Ost |
| Monday (single date) | 06.04.2026 | 11:00 – 16:00 | EO 237 Besprechung; Schloss Ehrenhof Ost |
| Monday (single date) | 04.05.2026 | 11:00 – 16:00 | EO 237 Besprechung; Schloss Ehrenhof Ost |
| Monday (single date) | 25.05.2026 | 11:00 – 16:00 | EO 237 Besprechung; Schloss Ehrenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MAN 804 Advances in Strategic Management
MAN 804 Advances in Strategic Management (Seminar, english)
Course type:
Seminar
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Essay 60 %, presentation 40 %
Instructor(s):
Prof. Dr. Matthias Brauer
Date(s):
| Wednesday (single date) | 18.02.2026 | 10:00 – 12:00 | 001 Hörsaal; L 9, 1–2 |
| Tuesday (block date) | 14.04.2026 – 15.04.2026 | 09:00 – 18:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
Mental health during dissertations (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Maren Prignitz
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
Description:
It is not uncommon for doctoral dissertations to be characterized by periods of difficulty and frustration, which can impact mental health. As well as factors directly related to the dissertation itself, structural and personal issues may contribute to mental health challenges.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
Bridge Course from the course offer of the CDSB (Accounting)
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Finance)
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Bridge Course from the course offer of the CDSB (Information Systems)
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Marketing)
MKT 902 Advances in Marketing Research (Lecture, german)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Language of instruction:
german
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Florian Kraus
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 15:30 – 17:00 | 107 Bibliothek/ |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Taxation)
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Political Science)
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Psychology)
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Sociology)
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Cities, Housing Markets, and Inequality (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Malte Grönemann
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 15:30 – 17:00 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This graduate seminar offers a rigorous, interdisciplinary examination of the modern city in high-income countries, located at the nexus of Urban Sociology and Urban Economics. Cities are the defining places of our time. With more than half the global population residing in cities — a figure projected to reach two-thirds by 2050 — they are simultaneously the engines of global innovation and wealth creation, and the sites of our deepest social fractures. To understand the city requires moving beyond a single lens. This seminar focuses on integrating the economist’s focus on efficiency, market mechanisms, and spatial equilibrium with the sociologist’s focus on stratification, power structures, and structural inequalities. By bridging this divide, students will gain a holistic toolkit for analyzing cities and urban life.
To give you some examples of questions we will cover: Why do people and firms cluster in space? When do households move? How do neighborhood environments impact individual life chances? What are the mechanisms driving housing crises and patterns of inequality? And how can evidence-based policy foster equitable and sustainable urban futures?
We are going to read a mix of foundational theoretical classics that shaped the field and exemplary work from recent scholarship. Students will learn to critically evaluate literature from both disciplines, allowing them to assess the limitations of purely economic models and to ground sociological concepts in rigorous quantitative evidence. Please be prepared for a reading-intensive seminar covering important formal theoretical work as well as cutting-edge empirical research using advanced statistical methods.
Sessions (preliminary):
– Introduction
– Agglomeration Economies
– Housing Demand and Residential Preferences
– Residential Mobility and Length of Residency
– Neighborhood Formation and Residential Segregation
– Neighborhood Effects
– Crime and Concentrated Poverty
– City and Neighborhood Change
– Housing Supply and City Growth
– Housing Inequality
– Evictions and Homelessness
– Urban and Housing Policy
– Smart and Sustainable Cities
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Elective Courses
Courses from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSB
ACC 922 Decarbonization seminar (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Gunther Glenk, Prof. Ph. D. Stefan Reichelstein
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 924 Analytical Reading Group (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
3
Attendance:
Online, live
Instructor(s):
Dr. Sebastian Kronenberger
Date(s):
| Friday (single date) | 13.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.03.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.04.2026 | 12:00 – 13:30 | |
| Friday (single date) | 22.05.2026 | 12:00 – 13:30 | |
| Friday (single date) | 19.06.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.07.2026 | 12:00 – 13:30 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 924: Seminar in Empirical Banking (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Simon Rother
Date(s):
| Friday (block date) | 13.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 27.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 20.03.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 24.04.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
Description:
Course content
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
IS 930 Web Scraping for Researchers (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Instructor(s):
Prof. Dr. Jens Förderer
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 922 Reading Course in Taxation Research (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This course does not have limited capacity.
Instructor(s):
Prof. Dr. Philipp Dörrenberg, Prof. Dr. Johannes Voget
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 13:45 – 15:15 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Marketing
Mandatory Courses
MKT 910 Area Seminar
MKT 910 Marketing Area Seminar (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Learning target:
Students will learn to follow-up with and discuss about current research topics in accounting and taxation. The interaction with leading researchers will allow them to develop own research ideas and get insights into the design, execution and presentation of research projects.
Instructor(s):
Prof. Dr. Florian Stahl
Description:
The course focuses on current research topics in the field of marketing. Visiting researchers present their latest working papers and discuss their ideas with participating faculty and students. The presentations have workshop format and are similar in style to leading scientific conferences. The course introduces students to the variety of research methods that are currently popular in empirical and theoretical research.
MKT 804 Theory Development and Model Building
MKT 804 Theory Development and Model Building (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
3
Attendance:
Live & on-campus
Examination achievement:
Students will be graded based on the presentations and final reports.
Instructor(s):
Prof. Dr. Sabine Kuester
Date(s):
| Tuesday (single date) | 24.02.2026 | 12:00 – 12:30 | 009 Roche Forum; L 5, 1 |
| Wednesday (block date) | 22.04.2026 – 23.04.2026 | 09:00 – 16:00 | 009 Roche Forum; L 5, 1 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MKT 901 Designing Marketing Research Projects
MKT 901 Designing Marketing Research Projects (Others, english)
Course type:
Others
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Christian Homburg
Date(s):
| Tuesday (single date) | 03.03.2026 | 10:00 – 13:00 | 009 Roche Forum; L 5, 1 |
| Monday (single date) | 11.05.2026 | 10:00 – 14:00 | 009 Roche Forum; L 5, 1 |
| Tuesday (single date) | 12.05.2026 | 10:00 – 14:00 | 009 Roche Forum; L 5, 1 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Academic Writing Course
E922 English Academic Writing for Business and Economics (Stahl) (Course, english)
Course type:
Course
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Konrad Stahl
Date(s):
| Saturday (single date) | 14.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 20.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 13.03.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
Mental health during dissertations (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Maren Prignitz
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
Description:
It is not uncommon for doctoral dissertations to be characterized by periods of difficulty and frustration, which can impact mental health. As well as factors directly related to the dissertation itself, structural and personal issues may contribute to mental health challenges.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
Bridge Course from the course offer of the CDSB (Accounting)
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Finance)
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Bridge Course from the course offer of the CDSB (Information Systems)
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Taxation)
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Political Science)
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Psychology)
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Sociology)
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Cities, Housing Markets, and Inequality (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Malte Grönemann
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 15:30 – 17:00 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This graduate seminar offers a rigorous, interdisciplinary examination of the modern city in high-income countries, located at the nexus of Urban Sociology and Urban Economics. Cities are the defining places of our time. With more than half the global population residing in cities — a figure projected to reach two-thirds by 2050 — they are simultaneously the engines of global innovation and wealth creation, and the sites of our deepest social fractures. To understand the city requires moving beyond a single lens. This seminar focuses on integrating the economist’s focus on efficiency, market mechanisms, and spatial equilibrium with the sociologist’s focus on stratification, power structures, and structural inequalities. By bridging this divide, students will gain a holistic toolkit for analyzing cities and urban life.
To give you some examples of questions we will cover: Why do people and firms cluster in space? When do households move? How do neighborhood environments impact individual life chances? What are the mechanisms driving housing crises and patterns of inequality? And how can evidence-based policy foster equitable and sustainable urban futures?
We are going to read a mix of foundational theoretical classics that shaped the field and exemplary work from recent scholarship. Students will learn to critically evaluate literature from both disciplines, allowing them to assess the limitations of purely economic models and to ground sociological concepts in rigorous quantitative evidence. Please be prepared for a reading-intensive seminar covering important formal theoretical work as well as cutting-edge empirical research using advanced statistical methods.
Sessions (preliminary):
– Introduction
– Agglomeration Economies
– Housing Demand and Residential Preferences
– Residential Mobility and Length of Residency
– Neighborhood Formation and Residential Segregation
– Neighborhood Effects
– Crime and Concentrated Poverty
– City and Neighborhood Change
– Housing Supply and City Growth
– Housing Inequality
– Evictions and Homelessness
– Urban and Housing Policy
– Smart and Sustainable Cities
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Elective Courses
MKT 902 Advances in Marketing Research
MKT 902 Advances in Marketing Research (Lecture, german)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Language of instruction:
german
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Florian Kraus
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 15:30 – 17:00 | 107 Bibliothek/ |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Course from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSB
ACC 922 Decarbonization seminar (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Gunther Glenk, Prof. Ph. D. Stefan Reichelstein
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 924 Analytical Reading Group (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
3
Attendance:
Online, live
Instructor(s):
Dr. Sebastian Kronenberger
Date(s):
| Friday (single date) | 13.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.03.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.04.2026 | 12:00 – 13:30 | |
| Friday (single date) | 22.05.2026 | 12:00 – 13:30 | |
| Friday (single date) | 19.06.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.07.2026 | 12:00 – 13:30 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 924: Seminar in Empirical Banking (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Simon Rother
Date(s):
| Friday (block date) | 13.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 27.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 20.03.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 24.04.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
Description:
Course content
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
IS 930 Web Scraping for Researchers (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Instructor(s):
Prof. Dr. Jens Förderer
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MAN 804 Advances in Strategic Management (Seminar, english)
Course type:
Seminar
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Essay 60 %, presentation 40 %
Instructor(s):
Prof. Dr. Matthias Brauer
Date(s):
| Wednesday (single date) | 18.02.2026 | 10:00 – 12:00 | 001 Hörsaal; L 9, 1–2 |
| Tuesday (block date) | 14.04.2026 – 15.04.2026 | 09:00 – 18:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 922 Reading Course in Taxation Research (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This course does not have limited capacity.
Instructor(s):
Prof. Dr. Philipp Dörrenberg, Prof. Dr. Johannes Voget
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 13:45 – 15:15 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Operations Management
Mandatory Courses
OPM 910 Area Seminar
OPM/
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
1
Attendance:
Live & on-campus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 12:00 – 13:30 | O 148 MVV Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
OPM 901 Research Seminar Operations Management & Operations Research
OPM 901 Research Seminar Operations Management & Operations Research (Seminar, english)
Course type:
Seminar
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Cornelia Schön-Peterson, Prof. Dr. Raik Stolletz, Prof. Dr. Moritz Fleischmann, Prof. Dr. Christoph Bode
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 12:00 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Academic Writing Course
E922 English Academic Writing for Business and Economics (Stahl) (Course, english)
Course type:
Course
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Konrad Stahl
Date(s):
| Saturday (single date) | 14.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 20.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 13.03.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Mandatory Elective Courses
OPM 802 Dynamic and Stochastic Models in Supply Chain Research
OPM 802 Dynamic and Stochastic Models in Supply Chain Research (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Moritz Fleischmann
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Mental health during dissertations (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Maren Prignitz
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
Description:
It is not uncommon for doctoral dissertations to be characterized by periods of difficulty and frustration, which can impact mental health. As well as factors directly related to the dissertation itself, structural and personal issues may contribute to mental health challenges.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MKT 902 Advances in Marketing Research (Lecture, german)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Language of instruction:
german
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Florian Kraus
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 15:30 – 17:00 | 107 Bibliothek/ |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Cities, Housing Markets, and Inequality (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Malte Grönemann
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 15:30 – 17:00 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This graduate seminar offers a rigorous, interdisciplinary examination of the modern city in high-income countries, located at the nexus of Urban Sociology and Urban Economics. Cities are the defining places of our time. With more than half the global population residing in cities — a figure projected to reach two-thirds by 2050 — they are simultaneously the engines of global innovation and wealth creation, and the sites of our deepest social fractures. To understand the city requires moving beyond a single lens. This seminar focuses on integrating the economist’s focus on efficiency, market mechanisms, and spatial equilibrium with the sociologist’s focus on stratification, power structures, and structural inequalities. By bridging this divide, students will gain a holistic toolkit for analyzing cities and urban life.
To give you some examples of questions we will cover: Why do people and firms cluster in space? When do households move? How do neighborhood environments impact individual life chances? What are the mechanisms driving housing crises and patterns of inequality? And how can evidence-based policy foster equitable and sustainable urban futures?
We are going to read a mix of foundational theoretical classics that shaped the field and exemplary work from recent scholarship. Students will learn to critically evaluate literature from both disciplines, allowing them to assess the limitations of purely economic models and to ground sociological concepts in rigorous quantitative evidence. Please be prepared for a reading-intensive seminar covering important formal theoretical work as well as cutting-edge empirical research using advanced statistical methods.
Sessions (preliminary):
– Introduction
– Agglomeration Economies
– Housing Demand and Residential Preferences
– Residential Mobility and Length of Residency
– Neighborhood Formation and Residential Segregation
– Neighborhood Effects
– Crime and Concentrated Poverty
– City and Neighborhood Change
– Housing Supply and City Growth
– Housing Inequality
– Evictions and Homelessness
– Urban and Housing Policy
– Smart and Sustainable Cities
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Elective Courses
Courses from the doctoral programs at the CDSB, CDSE and CDSS or from M. Sc. in Business Informatics
Course from the doctoral programs at the CDSB
ACC 922 Decarbonization seminar (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Gunther Glenk, Prof. Ph. D. Stefan Reichelstein
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 924 Analytical Reading Group (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
3
Attendance:
Online, live
Instructor(s):
Dr. Sebastian Kronenberger
Date(s):
| Friday (single date) | 13.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.03.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.04.2026 | 12:00 – 13:30 | |
| Friday (single date) | 22.05.2026 | 12:00 – 13:30 | |
| Friday (single date) | 19.06.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.07.2026 | 12:00 – 13:30 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 924: Seminar in Empirical Banking (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Simon Rother
Date(s):
| Friday (block date) | 13.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 27.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 20.03.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 24.04.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
Description:
Course content
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
IS 930 Web Scraping for Researchers (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Instructor(s):
Prof. Dr. Jens Förderer
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 922 Reading Course in Taxation Research (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This course does not have limited capacity.
Instructor(s):
Prof. Dr. Philipp Dörrenberg, Prof. Dr. Johannes Voget
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 13:45 – 15:15 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Taxation
Mandatory Courses
TAX 910 Area Seminar
ACC 910 Area Seminar Accounting (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Philipp Dörrenberg, Prof. Dr. Johannes Voget, Prof. Dr. Holger Daske
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 12.05.2026 | 09:00 – 10:00 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 920 Brown Bag Seminar
ACC/
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Holger Daske, Dr. Sebastian Kronenberger
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | O 048 Seminarraum; Schloss Ostflügel |
| ⚠ Wednesday (weekly) | 11.02.2026 – 25.02.2026 | 13:45 – 15:15 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
Caution: Individual dates in the series marked with ⚠ have changed. Please check the portal for details.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 802 Applied Taxation Research I: Foundations and Core Methods
Applied Taxation Research I (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Live & on-campus
Registration procedure:
This course does not have limited capacity.
Instructor(s):
Prof. Dr. Johannes Voget, Prof. Dr. Philipp Dörrenberg
Date(s):
| Tuesday (weekly) | 10.02.2026 – 24.03.2026 | 08:30 – 11:45 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 08:30 – 11:45 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 803 Applied Taxation Research II: Advanced Methods and Own Research Topics
Applied Taxation Research II (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
6
Attendance:
Live & on-campus
Registration procedure:
This course does not have limited capacity.
Instructor(s):
Prof. Dr. Johannes Voget, Prof. Dr. Philipp Dörrenberg
Date(s):
| Tuesday (weekly) | 14.04.2026 – 26.05.2026 | 08:30 – 11:45 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
| Wednesday (weekly) | 15.04.2026 – 27.05.2026 | 08:30 – 11:45 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
| Friday (weekly) | 17.04.2026 – 29.05.2026 | 08:30 – 11:45 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Academic Writing Course
E922 English Academic Writing for Business and Economics (Stahl) (Course, english)
Course type:
Course
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Konrad Stahl
Date(s):
| Saturday (single date) | 14.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 20.02.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 13.03.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Mandatory Elective Courses
ACC 903 Empirical Accounting Research I: (Research Methods)
ACC 903 Empirical Accounting Research I (Research Methods) (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Holger Daske
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 904 Empirical Accounting Research II: (Causal Inference)
ACC 904 Empirical Accounting Research II (Causal Inference) (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Jannis Bischof
Date(s):
| Tuesday (single date) | 03.02.2026 | 10:00 – 12:00 | |
| Tuesday (single date) | 10.02.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 17.02.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 03.03.2026 | 10:00 – 12:00 | |
| Tuesday (single date) | 10.03.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 17.03.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 24.03.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 21.04.2026 | 10:00 – 12:00 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course
Bridge Course – from the GESS course offer
Mental health during dissertations (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Maren Prignitz
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
Description:
It is not uncommon for doctoral dissertations to be characterized by periods of difficulty and frustration, which can impact mental health. As well as factors directly related to the dissertation itself, structural and personal issues may contribute to mental health challenges.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
The course aims to provide doctoral students with theoretical input on models of stress, resilience and resources, as well as practical methods for reducing stress. Additionally, strategies are presented for activating and integrating individual resources and resilience factors sustainably into everyday (doctoral) life. This enables students to remain capable of acting, especially during highly stressful phases of the programme, and to fall back on alternative coping strategies.
As part of the course, doctoral students are encouraged to reflect on their stressors and resilience factors, and to develop a clearer perception of their situation, in order to deal with stress more effectively.
In addition, the course provides opportunities for participants to raise personally relevant topics and discuss them from different perspectives within the group. The individual sessions are designed as both structured learning units and open spaces for discussion and reflection.
Bridge Course from the course offer of the CDSB (Accounting)
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Finance)
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Bridge Course from the course offer of the CDSB (Information Systems)
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Marketing)
MKT 902 Advances in Marketing Research (Lecture, german)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Language of instruction:
german
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Florian Kraus
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 15:30 – 17:00 | 107 Bibliothek/ |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Political Science)
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Psychology)
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Sociology)
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Cities, Housing Markets, and Inequality (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Malte Grönemann
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 15:30 – 17:00 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This graduate seminar offers a rigorous, interdisciplinary examination of the modern city in high-income countries, located at the nexus of Urban Sociology and Urban Economics. Cities are the defining places of our time. With more than half the global population residing in cities — a figure projected to reach two-thirds by 2050 — they are simultaneously the engines of global innovation and wealth creation, and the sites of our deepest social fractures. To understand the city requires moving beyond a single lens. This seminar focuses on integrating the economist’s focus on efficiency, market mechanisms, and spatial equilibrium with the sociologist’s focus on stratification, power structures, and structural inequalities. By bridging this divide, students will gain a holistic toolkit for analyzing cities and urban life.
To give you some examples of questions we will cover: Why do people and firms cluster in space? When do households move? How do neighborhood environments impact individual life chances? What are the mechanisms driving housing crises and patterns of inequality? And how can evidence-based policy foster equitable and sustainable urban futures?
We are going to read a mix of foundational theoretical classics that shaped the field and exemplary work from recent scholarship. Students will learn to critically evaluate literature from both disciplines, allowing them to assess the limitations of purely economic models and to ground sociological concepts in rigorous quantitative evidence. Please be prepared for a reading-intensive seminar covering important formal theoretical work as well as cutting-edge empirical research using advanced statistical methods.
Sessions (preliminary):
– Introduction
– Agglomeration Economies
– Housing Demand and Residential Preferences
– Residential Mobility and Length of Residency
– Neighborhood Formation and Residential Segregation
– Neighborhood Effects
– Crime and Concentrated Poverty
– City and Neighborhood Change
– Housing Supply and City Growth
– Housing Inequality
– Evictions and Homelessness
– Urban and Housing Policy
– Smart and Sustainable Cities
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Elective Courses
ACC 903 Empirical Accounting Research I: (Research Methods)
ACC 903 Empirical Accounting Research I (Research Methods) (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Holger Daske
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 904 Empirical Accounting Research II: (Causal Inference)
ACC 904 Empirical Accounting Research II (Causal Inference) (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Jannis Bischof
Date(s):
| Tuesday (single date) | 03.02.2026 | 10:00 – 12:00 | |
| Tuesday (single date) | 10.02.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 17.02.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 03.03.2026 | 10:00 – 12:00 | |
| Tuesday (single date) | 10.03.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 17.03.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 24.03.2026 | 11:00 – 13:15 | |
| Tuesday (single date) | 21.04.2026 | 10:00 – 12:00 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 804 Econometrics of Financial Markets
FIN 804 Econometrics of Financial Markets (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Tabea Bucher-Koenen
Date(s):
| Tuesday (single date) | 24.03.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 14.04.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 21.04.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 28.04.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 05.05.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 12.05.2026 | 08:30 – 11:45 | 210 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 803 Corporate Finance
FIN 803 Corporate Finance (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Ernst Maug
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 06.03.2026 | 10:15 – 15:15 | 210 Seminarraum; L 9, 1–2 |
| Friday (single date) | 20.03.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 17.04.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 08.05.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 22.05.2026 | 10:15 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
IS 809 Advanced Data Science Lab II (Text Mining)
Advanced Data-Science Lab II (Text Mining) (Exercise, english)
Course type:
Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Strohmaier, Indira Sen
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 18:00 | 314–315 Besprechungsraum; L 15, 1–6 (Hochhaus) |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Courses from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSE
E5137 Topics in Economic History /E8059 Economic History Reading Group (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Jochen Streb, Prof. Ph. D. Philipp Ager
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8032 Inequality and Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Tom Krebs
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8038 Public Economics II (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | 002 Seminarraum; L 9, 1–2 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8050 Reading Group in Microeconometrics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
| Tuesday (weekly) | 24.03.2026 – 26.05.2026 | 10:15 – 11:45 | 111–112 Büro; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E821 Topics in Empirical Development Economics (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 12:00 – 13:30 | 157 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E823 Advanced Time Series Analysis (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Carsten Trenkler
Date(s):
| Wednesday (weekly) | 11.02.2026 – 25.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 12.02.2026 – 26.03.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Dr. Gregorio Curello
Date(s):
| Tuesday (single date) | 05.05.2026 | 08:30 – 15:15 | |
| Friday (single date) | 15.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 22.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
| Friday (single date) | 29.05.2026 | 09:30 – 15:45 | 410 Besprechungsraum; L 7, 3–5 |
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Peter Grüner
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E898 Reading Group in Empirical Industrial Organization (Lecture w/
Course type:
Lecture w/
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | 410 Besprechungsraum; L 7, 3–5 |
E923 Colloquium for students interested in Political Economy (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Camille Urvoy
Date(s):
| Tuesday (fortnightly) | 10.02.2026 – 19.05.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
Course from the doctoral programs at the CDSB
ACC 922 Decarbonization seminar (Seminar, english)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Instructor(s):
Prof. Dr. Gunther Glenk, Prof. Ph. D. Stefan Reichelstein
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
ACC 924 Analytical Reading Group (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
3
Attendance:
Online, live
Instructor(s):
Dr. Sebastian Kronenberger
Date(s):
| Friday (single date) | 13.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.02.2026 | 12:00 – 13:30 | |
| Friday (single date) | 20.03.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.04.2026 | 12:00 – 13:30 | |
| Friday (single date) | 22.05.2026 | 12:00 – 13:30 | |
| Friday (single date) | 19.06.2026 | 12:00 – 13:30 | |
| Friday (single date) | 17.07.2026 | 12:00 – 13:30 |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FIN 924: Seminar in Empirical Banking (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Simon Rother
Date(s):
| Friday (block date) | 13.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 27.02.2026 | 12:00 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 20.03.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
| Friday (block date) | 24.04.2026 | 12:00 – 18:45 | 210 Seminarraum; L 9, 1–2 |
Description:
Course content
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
This seminar introduces empirical research in financial intermediation and financial stability, and supports students in developing an original research idea in these areas. A central objective is to help students move from consuming research in courses to producing original research. The course is structured in two parts:
Part I: Interactive lectures. We cover seminal and current research on banks, financial intermediation, and financial stability. In parallel, we focus on the practical research craft: how to develop, evaluate, and present impactful research ideas. These skills are broadly applicable beyond banking.
Part II: Paper discussions and proposal development. Students deepen their understanding of the literature through reading, presenting, and discussing research papers. Each student develops a research idea, receives feedback on this idea, and refines it into a written proposal.
Prerequisites
This seminar primarily targets second-year PhD students in finance. Doctoral students from other cohorts and related fields are welcome. Students are expected to have solid training in econometrics. Knowledge on financial intermediation and financial institutions is helpful but not required.
If you are unsure whether the seminar is a good fit or anticipate scheduling constraints, please feel free to contact the instructor.
Assessment
Presentation (25%), discussion (25%), written research proposal (50%)
Each student will (i) present one paper, (ii) serve as discussant for one paper, and (iii) submit a short research proposal on a topic broadly related to the seminar. The proposal should articulate a research question, motivate its relevance, outline the empirical strategy and data requirements, and clarify the intended contribution, with the goal of a project suitable for a top-tier journal. A few pages are sufficient. Preliminary implementation is purely optional.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
IS 930 Web Scraping for Researchers (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Instructor(s):
Prof. Dr. Jens Förderer
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
MET: 931 Topics in Advanced Sampling Methods: Design and Causal Inference (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | O 226–28 Seminarraum; Schloss Ostflügel |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 922 Reading Course in Taxation Research (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This course does not have limited capacity.
Instructor(s):
Prof. Dr. Philipp Dörrenberg, Prof. Dr. Johannes Voget
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 13:45 – 15:15 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Textual Analysis (Lecture, german)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
german
Learning target:
- Students will learn to implement state-of-the art textual methods for analyzing text data in business administration and economics.
- Students will learn how to incorporate textual analysis methods to expand the current state of knowledge and arrive at new findings in their research area.
- Students will acquire solid programming knowledge in Python.
Recommended requirement:
Instructor(s):
Dr. Alexander Markus Hillert
Date(s):
| Monday (single date) | 09.02.2026 | 09:00 – 16:30 | 002 Seminarraum; L 9, 1–2 |
| Thursday (single date) | 12.02.2026 | 09:00 – 16:30 | 210 Seminarraum; L 9, 1–2 |
| Tuesday (single date) | 17.02.2026 | 09:00 – 16:30 | 409 Besprechungsraum; L 9, 1–2 |
| Friday (single date) | 13.03.2026 | 08:00 – 17:00 | 002 Seminarraum; L 9, 1–2 |
Description:
Starting with Antweiler and Frank (2004) and Tetlock (2007), textual analysis has become a popular method in empirical research in accounting, finance, and economics. Since then, researchers have been using textual analysis methods to systematically analyze the information content of a variety of text data including, for example, newspaper articles, financial reports, internet messages, and transcripts of central bank press conferences.
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
The goal of this course is to equip students with the tools so that they can use textual analysis methods for their own research. The course consists of three parts.
In the first part, we will discuss prominent papers on textual analysis (see, e.g., Tetlock, 2007; Loughran and McDonald, 2011). The papers will cover popular methods for textual analysis like the bag-of-words approach. Furthermore, more recent papers (e.g., Cohen et al., 2020; Huang et al., 2023) will be discussed to introduce more advanced methods (e.g., Google’s BERT large language model). Also, the most recent trends in textual analysis research in finance and economics will be discussed.
The second part introduces the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the U.S. Securities and Exchange Commission (SEC), which has been heavily used among researchers and practitioners. We will also briefly look at other databases that can be used for obtaining relevant text data (e.g., the Nexis news database).
The third and largest part of the course deals with the implementation of textual analysis methods using Python. After a brief introduction to Python’s programming basics, students will use Python to construct (large) text data sets. Next, students will learn how to preprocess texts (e.g., removing boilerplate disclaimers) and how to identify and extract specific information from texts. Then, we will compute sentiment measures using the dictionary-based textual analysis approach and discuss common validity checks. After that, we will analyze LLM-based sentiment scores and compare them to dictionary-based scores. In the last section, we will analyze further document characteristics like readability and textual similarity.
Additional information:
- As the programming part of the course starts with an introduction to Python, it is not required to have previous knowledge in Python. At the same time, programming experience will be helpful for successfully completing the course.
- As the methods covered in this course can be applied to many different settings, the course explicitly targets students/
researchers from different areas, including accounting, economics, finance, marketing, and management. - Note that the course focusses on quantitative approaches. Thus, it might not be the best fit for students who exclusively work qualitatively with text data.
Course from the doctoral programs at the CDSS
AB2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
- Böckenholt, U., & Meiser, T. (2017). Response style analysis with threshold and multi-process IRT models: A review and tutorial. British Journal of Mathematical and Statistical Psychology, 70, 159–181.
- Debelak, R., Strobl, C., & Zeigenfuse, M. (2022). An introduction to the Rasch model with Examples in R. Boca Raton, FL: CRC Press.
- De Boeck, P., & Wilson, M. (2004). Explanatory item response models. New York: Springer.
- Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29.
- Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
- Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response analysis. Journal of Statistical Software, 17(5), 1–25
Examination achievement:
Written exam, 90 minutes
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
| Friday (single date) | 20.02.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.03.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 17.04.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 15.05.2026 | 10:15 – 11:45 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
Description:
This workshop provides an introduction to Item Response Theory (IRT) with basic and advanced models for dichotomous and polytomous items. The topics include the Rasch model and extensions with two, three and four item parameters for dichotomous items. Concerning polytomous items, we discuss the partial credit and rating scale model, generalized partial-credit model and graded response model for items with ordinal response format, and the nominal response model for items with categorical response format. In addition, multidimensional IRT models for response styles and IRTree models for multiple response processes are presented.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
The IRT models are outlined with their formal model equations, theoretical assumptions and implications, estimation techniques, and statistical testing procedures. Applications to simulated and real data sets illustrate the use of IRT models for the analysis of individual differences in basic and applied research.
The workshop includes practical exercises of IRT modeling and analysis with current R packages. Basic knowledge and experience in R, including data management and use of R packages, are required for participation in this workshop.
The language of instruction is English. The course program includes online meetings, videos and analysis projects as homework.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AC1/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
A more comprehensive list will be available in the first meeting. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587–622. doi:10.1111/joop.12104
Examination achievement:
Hausarbeit / Term paper
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 17:15 – 18:45 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use daily-survey approaches to apply the treatment and to assess the data.
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
This course will present several approaches to psychological interventions and to daily-survey methods. Student can choose specific content topics from all areas of psychology to learn more about diary intervention (i.e., this course is not limited to interventions within organizational psychology).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
Please send an email to int-pol@uni-mannheim.de to register for this course.
This course is accompanied by a mandatory tutorial.
This course is accompanied by a mandatory tutorial.
Recommended requirement:
Literature:
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
Examination achievement:
Homework assignments and research paper
Instructor(s):
Prof. Dr. Thomas Gschwend
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The goal of this course is to provide an introduction into maximum-likelihood estimation.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Coalition Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Marc Debus
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
Description:
The way how parties agree to form stable multi-party cabinets is a key topic in the analysis of comparative politics. The recent rise in fragmentation of party systems in many countries puts coalition politics at the forefront. The recent success of left-wing and right-wing extremist and populist parties, often considered pariah parties, result in more complex government formation processes. Furthermore, the stability of coalitions is likely to decrease since recently formed coalitions tend to be ideologically more heterogeneous. Scientific interest in minority governments has also increased accordingly. The seminar addresses questions of coalition politics in the full life cycle such as coalition bargaining, coalition formation, the role of coalition agreements, portfolio allocation, governing in coalitions, coalition committees, the role of prime ministers or head of states, and coalition termination.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Causal Inference in Political Economy (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
| Friday (block date) | 06.02.2026 | 13:45 – 15:15 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.02.2026 | 10:15 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (block date) | 13.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (block date) | 27.03.2026 | 10:15 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
In this seminar, we learn how to apply statistical methods for causal inference by studying recent research topics in the field of international political economy. In terms of methods, we will learn about experiments, natural experiments, difference-in-difference designs, regression discontinuity designs, and instrumental variables. In terms of research topics, we will study international migration, international organizations, and attitudes towards globalization. The seminar is structured such that for each method that we cover there is one session dedicated to learning the method itself and another session dedicated to a recent research paper that applies this method.
Advanced Topics in International Politics: International Migration (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Schriftliche Hausarbeit / Research paper
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 08:30 – 10:00 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
What explains international migration flows, individual decisions to migrate and destination choices? How do political processes shape international migration regimes? The seminar begins with a discussion of core theories of migration as well as data sources and measurement challenges, and then examines key topics such as migrant decision-making, forced displacement and conflict-related mobility, climate migration, border governance, and asylum regimes and migration return policies, with a particular focus on recent quantitative empirical research. Students will develop their own research question on one of the topics of discussion and conduct their own research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: UN Peacekeeping and the Protection of Civilians (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
schriftliche Hausarbeit maximal 8000 Wörter
Instructor(s):
Prof. Dr. Melanie Sauter
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 12:00 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
| Titel: UN Peacekeeping and the Protection of Civilians Contents: Are peacekeeping missions really keeping peace? The aim of this course is to examine the problems and possibilities of United Nations (UN) peace operations. The roles and responsibilities of peacekeepers are evolving as peacekeeping mandates become more complex and multidimensional. Peacekeeping operations have developed from simply monitoring ceasefires to protecting civilians, disarming ex-combatants, protecting human rights, promoting the rule of law, supporting free and fair elections, minimizing the risk of land-mines and much more. As of today, there are 12 active missions with over 90,000 personnel deployed. Civilians have increasingly become the victims of armed conflict. In response, the UN Security Council has made protecting civilians a focus of modern peacekeeping. The vast majority of peacekeepers today serve in missions with mandates that prioritize the protection of civilians (POC). The POC mandate is often the yardstick by which the success or failure of peacekeeping missions is assessed. But not only civilians are increasingly the target of violence. Tragically, over 3,500 peacekeepers have lost their lives, making many countries wary of contributing troops to the field. This course is an introduction to the UN’s role in maintaining peace and international security. The subject is relevant for all those who want to focus on conflict or security studies, international organizations, global governance or other subfields in international relations, or are interested in pursuing a career working with a UN organization. The instructor not only focuses on civil-military coordination in her own research but has also practical work experience with a UN peacekeeping mission in the field. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM2/
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
This seminar will be held in English.
Learning target:
- Think critically about theoretical and empirical literature.
- Communicate arguments effectively, evaluating academic assumptions or positions that are based on empirical evidence.
- Work in small and large groups to discuss and communicate scientific positions to an audience.
Literature:
There is no textbook for this course. The lecture materials (available on ILIAS) will consist of:
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
(1) Slideshows (by the instructor and by the students), highlighting key theoretical concepts, methodological aspects, and providing data-based evidence of the individual and environmental underpinnings of social learning.
(2) Academic journal articles (either data-based papers or review articles).
Examination achievement:
slide deck submission
Instructor(s):
Dr. Camilla Cenni
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 317 Seminarraum; A 5, 6 Bauteil B |
Description:
***This seminar will be held in English***
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
While culture is often seen as a hallmark of humanity, an evolutionary perspective challenges this view by proposing continuity in behavioral traits across species. According to this view, culture and its constituting elements exhibit variations in degree rather than kind.
Overall, the goal of this course is to understand how and why individuals (humans and nonhumans) learn in a social context, an essential component of culture. By adopting a (cross-species) comparative perspective, the course covers the mechanisms and functions of social learning, as well as its driving factors, including psychological aspects (cognitive and non-cognitive), and environmental determinants (physical and social), providing a deeper understanding of the evolutionary links that underlie cultural behaviors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Comparative Political Behavior (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
| Comparative Political Behavior The main goal of this lecture is to present an introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions. |
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Longitudinal Data Analysis (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Examination achievement:
Written examination (90min.), closed-book.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | B 243 Hörsaal; A 5, 6 Bauteil B |
Description:
The course provides a broad overview of methods used in longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, using measurements of the same individuals taken repeatedly over time can lead to better causal inferences in some cases and can also provide the opportunity to learn more about the dynamics of individual behavior. The first objective of this course is to discuss the advantages of panel data and the characteristics of its structure. The course will then provide an overview of the main models (pooled OLS, fixed effects, random effects, first-differences) and offer tools to help choose between these models. It will also cover panel generalized linear models. Finally, an overview of event history analysis will be presented.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Danielle Martin Ph.D.
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 13:45 – 15:15 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tut Longitudinal Data Analysis (Exercise, english)
Course type:
Exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
- Cameron, A. Colin and Trivedi, Pravin K. (2005), “Microeconometrics: Methods and Applications”, Cambridge University Press, Cambridge, UK.
- Green, William H. (2008), “Econometric Analysis” (sixth edition), Prentice Hall, New Jersey, USA.
- Wooldridge, Jeffrey M. (2001) “Econometric Analysis of Cross Section and Panel Data”, The MIT Press, Cambridge (MA), USA.
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 15:30 – 17:00 | C 112 Unterrichtsraum; A 5, 6 Bauteil C |
Description:
Using R, we apply methods of longitudinal data analysis (presented in the lecture “Longitudinal Data Analysis”) to real survey data.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
| Thursday (weekly) | 12.02.2026 – 28.05.2026 | 10:15 – 11:45 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This tutorial accompanies the course “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Advanced Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Lisa-Marie Müller
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
This tutorial accompanies the lecture “Advanced Quantitative Methods” in the M.A. program in Political Science.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Collaborative Research Seminar: Partnership Preferences and Social Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Term paper
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
Description:
Interethnic partnerships are a key dimension of social integration in contemporary multiethnic societies. Besides the preferences and opportunities of migrants, integration depends on the openness of the established population toward social relationships across group boundaries. Attitudes toward interethnic partnerships therefore provide important insights into broader dynamics of social integration.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
Germany provides a relevant context for studying these dynamics, having received one of the largest numbers of refugees in Europe over the past decade, including a disproportionate share of young men from the Middle East and North Africa (MENA) and women from Ukraine. Due to the limited co-ethnic partner market in both refugee populations (more men among MENA refugees and more women among Ukrainian refugees), both groups are likely to be open to inter-group partnerships. But to what extent are German residents willing to form partnerships with refugees?
This is the key question that the seminar will address. The seminar is conceived as a collaborative research workshopwith the goal of jointlypreparing a scientific publication. We will draw on data from a multifactorial vignette survey experiment implemented in the GESIS Panel. Members of the German resident population, both with and without migration background, evaluated fictitious descriptions of potential partners that systematically varied along several characteristics.
Students are introduced to the full workflow of producing a scientific journal article in sociology and will collectively contribute to different components of the research and writing process. The seminar provides students with key skills that are central both within and beyond academia: synthesizing empirical findings, structuring results around a coherent research question, and communicating evidence-based insights in a clear way. These competencies are highly relevant not only for master’s theses, but also for careers in research-oriented institutions, policy analysis, and data-driven organizations.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Experimental Designs in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Presentation of the Exposé of the seminar paper (incl. peer-feedback), research design seminar paper
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Experimental research designs are called the silver bullet or ‘Königsweg’ for causal identification. In recent years, the growing interest in causal identification and mechanism testing made experimental designs a regular empirical research tool in the social sciences – most recently in political science and sociology. This seminar shall give a broad overview of the range of experimental methods such as survey, field, lab-in-the-field, and laboratory experiments. We will discuss classical and recent work, including shortcomings and best practices like transparency (open science) and ethical considerations in experimental research methods. In addition, students will learn to think critically about different (experimental) research designs and design their own experiment to answer a research question they have developed.
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1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: The Political Economy of the Welfare State (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Examination achievement:
The final evaluation will be a term paper on a topic of the student’s choice within the scope of the course content.
Instructor(s):
Andrew Zola
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 13:45 – 15:15 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Welfare states in advanced capitalist democracies can be understood as institutions that shape, facilitate, and counterbalance the dynamics of the free market. This seminar examines the interplay between markets and social policies: how countries design and reform systems of social protection under political economy constraints, and in turn how welfare states structure labor markets, influence inequality, and affect economic performance. We will explore the historical development of welfare states, the institutional logics that distinguish welfare state models across countries, and the economic, political, and demographic pressures shaping contemporary policy debates. Throughout the semester, we will engage with theoretical traditions including power-resources theory, varieties of capitalism, and historical institutionalism, and consider perspectives that address current issues of financialization, climate change, and the rise of far-right populism. We will analyze why some countries expand or retrench benefits, how interest groups and electoral politics drive policy choices, and how ideas about citizenship, deservingness, and the role of the state inform public support for welfare programs. The seminar emphasizes a comparative perspective across countries to encourage students to understand both common challenges and divergent national responses to them. By the end of the course, students will be able to critically evaluate various explanations of welfare-state development and situate current debates within broader political economy transformations.
S Seminar in Research Methods: Computational Social Science Methods and Digital Behavioral Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written term paper based on an analysis in R (max. 5000 words), deadline 31 July
Instructor(s):
Prof. Dr. Sebastian Stier
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
Computational Social Science is a young research field at the intersection of various social science disciplines, data science and computer science. The goal is to gain new insights into society through large amounts of data and the direct observation of human behavior. CSS relies on two cornerstones: digital behavioral data, which can be collected from online platforms or sensors like smartphones, and computer science methods such as automated text analysis to create appropriate measures for social science research questions. In the course, students will get to know foundational studies, theories and methods used in the field of CSS. We will discuss infrastructural, ethical and legal challenges and how to navigate these to devise appropriate research designs in CSS.
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
The course will be application oriented. Students will familiarize themselves with the main applications of CSS methods and implement them in R. The range of applications will cover data management and preprocessing, the application of machine learning, data and results visualization, statistical data analysis and the validation of results. The hands-on application examples will cover questions from various research fields and different data types like social media data or web browsing histories. Equipped with this theoretical and methodological toolkit, students will develop their own CSS research projects.
Email: Sebastian.Stier@gesis.org
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Generative AI in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Learning target:
|
Upon completion of the module, students are able to: • present their basic knowledge in Generative AI applied to social science research fields • name the latest Generative AI developments in social science research • describe their in-depth knowledge of empirical approaches to Generative AI in the social science research fields covered • critically evaluate the empirical literature and applications of Generative AI in the social science research fields covered |
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they either 1) carry out an empirical study in a focus area of social science research using Generative AI methods, OR 2) conduct a critical literature review of Generative AI used in the social sciences.
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
| Friday (weekly) | 13.02.2026 – 29.05.2026 | 08:30 – 10:00 | ZOOM-Lehre-116; Virtuelles Gebäude |
Description:
Selected topics relating to Generative AI in the social sciences are introduced in this seminar. Assigned readings and in-class activities will impart a deeper insight into the current status of research in this field, which is used to determine open questions and perspectives for further research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Seminar in Research Methods: Natural Experiments Using Digital and Web Data (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:
Upon completion of the module, students are able to:
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
• explain the logic of natural experiments and key causal identification strategies in the social sciences
• apply difference-in-differences, regression discontinuity designs and unintended event designs to real-world research questions
• identify and evaluate offline events as potential sources of exogenous variation for causal inference
• collect and analyse digital and web-based data to study online responses to real-world shocks
• critically assess the strengths and limitations of digital trace data for causal research, including issues of bias, measurement, and ethical constraints
• design an independent empirical research project linking an offline event to an online behavioral outcome
Recommended requirement:
Examination achievement:
For the examination, students write a term paper (5,000 words max.) where they carry out an empirical study (natural experiment and web/
Instructor(s):
Nicole Schwitter Ph.D.
Date(s):
| Wednesday (weekly) | 11.02.2026 – 27.05.2026 | 15:30 – 17:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
Description:
This seminar introduces core concepts and applications of natural experiments in the social sciences, with a particular focus on studying the effects of real-world events using digital and web-based data. Through assigned readings, empirical examples, and hands-on exercises, students will engage with causal research designs and learn how offline shocks can be used to identify causal effects in online behaviour.
VL Comparative Government: Political Institutions and the Political Process (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Or Tuttnauer
Date(s):
| Tuesday (weekly) | 10.02.2026 – 26.05.2026 | 10:15 – 11:45 | C 217 Seminarraum; A 5, 6 Bauteil C |
Description:
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as electoral institutions and their effects on turnout, voting behaviour and party strategies. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions and of personal characteristics of legislators on various aspects of decision-making within parliaments and governments.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL International Politics (Lecture, english)
Course type:
Lecture
ECTS:
8
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written Exam
Instructor(s):
PD Dr. Bernd Beber
Date(s):
| Monday (weekly) | 09.02.2026 – 25.05.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Description:
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.