CDSE Course Catalog
Semesters
Economics
Introductory Modules
E700 Mathematics for Economists
| Donnerstag (Einzeltermin) | 08.10.2026 | 09:00 – 11:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
| Montag (wöchentlich) | 07.09.2026 – 28.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Dienstag (wöchentlich) | 08.09.2026 – 29.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Mittwoch (wöchentlich) | 09.09.2026 – 30.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Donnerstag (wöchentlich) | 10.09.2026 – 01.10.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Montag (wöchentlich) | 07.09.2026 – 28.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Dienstag (wöchentlich) | 08.09.2026 – 29.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Mittwoch (wöchentlich) | 09.09.2026 – 30.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Donnerstag (wöchentlich) | 10.09.2026 – 01.10.2026 | 13:45 – 15:15 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Montag (wöchentlich) | 07.09.2026 – 28.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Dienstag (wöchentlich) | 08.09.2026 – 29.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Mittwoch (wöchentlich) | 09.09.2026 – 30.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Donnerstag (wöchentlich) | 10.09.2026 – 01.10.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Montag (wöchentlich) | 07.09.2026 – 28.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Dienstag (wöchentlich) | 08.09.2026 – 29.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Mittwoch (wöchentlich) | 09.09.2026 – 30.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Donnerstag (wöchentlich) | 10.09.2026 – 01.10.2026 | 15:30 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Montag (wöchentlich) | 07.09.2026 – 28.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Dienstag (wöchentlich) | 08.09.2026 – 29.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Mittwoch (wöchentlich) | 09.09.2026 – 30.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Donnerstag (wöchentlich) | 10.09.2026 – 01.10.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Freitag (Einzeltermin) | 11.12.2026 | 08:30 – 10:30 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
E701 Advanced Microeconomics I
| Mittwoch (wöchentlich) | 14.10.2026 – 09.12.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| ⚠ Freitag (wöchentlich) | 16.10.2026 – 11.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Montag (wöchentlich) | 12.10.2026 – 07.12.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Mittwoch (wöchentlich) | 14.10.2026 – 09.12.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
E702 Advanced Macroeconomics I
| Montag (wöchentlich) | 12.10.2026 – 07.12.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Freitag (wöchentlich) | 16.10.2026 – 11.12.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Mittwoch (wöchentlich) | 14.10.2026 – 09.12.2026 | 08:30 – 10:00 | P 044 Seminarraum; L 7, 3–5 |
| Donnerstag (wöchentlich) | 15.10.2026 – 10.12.2026 | 08:30 – 10:00 | P 044 Seminarraum; L 7, 3–5 |
| Montag (Einzeltermin) | 19.10.2026 | 08:30 – 10:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Dienstag (Einzeltermin) | 20.10.2026 | 08:30 – 10:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Dienstag (Einzeltermin) | 10.11.2026 | 08:30 – 10:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Dienstag (Einzeltermin) | 24.11.2026 | 08:30 – 10:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
E703 Advanced Econometrics I
| Dienstag (wöchentlich) | 13.10.2026 – 08.12.2026 | 13:45 – 15:15 | 003 Seminarraum; L 9, 1–2 |
| Donnerstag (wöchentlich) | 15.10.2026 – 10.12.2026 | 13:45 – 15:15 | 003 Seminarraum; L 9, 1–2 |
| Dienstag (wöchentlich) | 13.10.2026 – 08.12.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Donnerstag (wöchentlich) | 15.10.2026 – 10.12.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
Elective Courses
Elective courses from the course offer of the CDSS
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| ⚠ Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 116 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Freitag (Einzeltermin) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Freitag (Einzeltermin) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Freitag (Einzeltermin) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Samstag (Einzeltermin) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Samstag (Einzeltermin) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Montag (Einzeltermin) | 26.10.2026 | 10:15 – 13:30 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Mittwoch (Einzeltermin) | 28.10.2026 | 10:15 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Freitag (Einzeltermin) | 30.10.2026 | 10:15 – 13:30 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Montag (Einzeltermin) | 02.11.2026 | 10:15 – 13:30 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Mittwoch (Einzeltermin) | 04.11.2026 | 10:15 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Freitag (Einzeltermin) | 06.11.2026 | 10:15 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Mittwoch (wöchentlich) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
In sociology and related fields, factorial survey experiments (FSE; also known as vignette experiments) are widely used to study a range of social phenomena, ranging discrimination and family decision-making to public opinion on sustainability, health or migration policies. This method combines experimental logic with survey techniques to examine the causal effects of multiple dimensions (e.g., jobseekers‘ education, age) on outcomes such as attitudes, judgments, or behavioral intentions (e.g., hiring discrimination). Typically, respondents evaluate one or several descriptions of hypothetical persons, objects, or situations (vignettes) that systematically vary along a set of characteristics. A particular strength of vignette experiments lies in their ability to capture complex decision-making processes, especially when compared to standard survey questions that often measure only single attitudes or isolated judgments.
This course provides an introduction to the methodological foundations of factorial survey experiments, discusses the strengths and limitations of the approach, and situates it within the broader family of experimental methods. Emphasis will be placed on practical application: through hands-on exercises, students will learn how to develop and conduct their own factorial survey experiment, from formulating research questions and constructing vignettes to preparing the design for implementation. By the end of the course, participants will be able to critically assess experimental research in the social sciences and to design their own research project using factorial survey experiments.
Students will be required to create an account on the SAS on Demand platform using their student E-Mail adress (free of charge) as well as register with SoScie-Survey via the university’s license. Students will further need access to R, which we will use for statistical analyses.
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Mittwoch (wöchentlich) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Freitag (wöchentlich) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Montag (Einzeltermin) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
| Mittwoch (Einzeltermin) | 28.10.2026 | 15:30 – 17:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Elective courses from the course offer of the CDSB
1. Recognize the anatomy of big papers: Identify what distinguishes high-impact research,
including a first-order question, a genuine innovation in idea, data, measurement,
or method, and a conceptual framework that generalizes beyond the specific setting.
2. Learn from agendas, not only papers: Reconstruct how leading scholars in accounting,
finance, and economics build cumulative research agendas rather than one-off papers, and
extract transferable principles.
3. Articulate innovation and impact: State precisely what is new about a project and which
stakeholders it speaks to (the academic field, policymakers, practitioners, society), and
position the project within or against existing literatures.
4. Design ambitious yet feasible projects: Translate a big question into a concrete research
design, and test feasibility early through data work: descriptive statistics that inform the
question or setting, and first patterns in the data worth extending toward a publicationready
project.
5. Master the operational side: Practice the everyday craft of executing an agenda, including
writing and presenting papers, receiving and incorporating feedback, managing
a portfolio of projects, and using modern tools (data pipelines, AI agents) productively.
6. Act as a citizen of the research community: Write constructive referee reports and
conference-style discussions, and understand howrefereeing, discussing, and seminar participation
feed back into one’s own agenda.
| ⚠ Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
| Montag (Einzeltermin) | 26.10.2026 | 14:00 – 15:30 | EO 145 Hörsaal (Bürgerhörsaal); Schloss Ehrenhof Ost |
| Montag (Einzeltermin) | 14.12.2026 | 17:15 – 18:45 | EO 159 Seminarraum; Schloss Ehrenhof Ost |
This seminar is aimed at doctoral students at GESS. The seminar hosts speakers from academia and industry to discuss latest advances and challenges that companies face in the transition towards more sustainable business practices and net carbon emissions of zero. Topics covered include the economics and management of sustainability activities and emission abatement strategies across all sectors of the economy.
Course participants need to attend the seminar talks and the internal
sessions. In the internal sessions, students are asked to present a
paper and/
Group assignment (80%), Class participation (20%)
Participants will work in pairs to develop a Python-based web scraper. Detailed instructions and requirements will be provided during the course.| Montag (Einzeltermin) | 23.11.2026 | 09:00 – 17:30 | |
| Dienstag (Einzeltermin) | 24.11.2026 | 09:00 – 17:30 | |
| Montag (Einzeltermin) | 30.11.2026 | 09:00 – 16:00 |
In today’s data-driven world, the ability to obtain web data is a game-changer for empirical research. Top-tier research papers in marketing, management, accounting, finance, and information systems increasingly rely on data obtained from scraping websites or querying APIs. Examples of such data include customer reviews from Amazon, search trends on Google, Instagram posts, job postings, investment disclosures, and much more. The skill to obtain novel, rich, and unique web data has become critical for business researchers.
This hands-on course equips doctoral students and postdocs in business with the essential skills to collect, extract, and process web data for research purposes. You will follow a structured, step-by-step approach to:
- Identify requirements for effective data extraction
- Automate data collection from websites or APIs
- Parse and clean data
- Navigate ethical and legal considerations
Through practical exercises in small groups, you will develop a fully functional web scraper using the Python programming language, which you can easily adapt for your own research projects later on.
You do not need to be familiar with Python to attend the course. If you have not worked with Python yet, we provide setup instructions before the course starts.
| Freitag (wöchentlich) | 09.10.2026 – 11.12.2026 | 12:00 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
Many optimization problems in practice are nonlinear. This course introduces PhD students of information systems, business administration, and computer science to the fundamentals of nonlinear optimization theory and solution methods. The course is partly taught in a seminar-style format. Topics will be assigned in class based on student preferences and needs with regard to their thesis.
| Donnerstag (wöchentlich) | 10.09.2026 – 28.01.2027 | 10:15 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
This elective course aims at PhD students in Operations. The course is taught in a seminar-style format. Each student gives three presentations about one own research project based on a draft of a paper. The aim is to discuss and sharpen the contributions of that work. The presentations are structured similar to papers in that field:
1. Models: Problem description, Model formulations, and contributions to scientific literature
2. Methods: Analytical or algorithmic approaches
3. Managerial Insights: Structured properties, data analysis, and numerical results
Students act as discussants to presentations of other students. At the end of the seminar students hand in a draft of the paper, which reflects the discussions to each single point.
Secondary
analysis enables researchers to explore existing research data from novel
perspectives. Students will learn to critically assess and reinterpret qualitative
and quantitative datasets, identifying opportunities for generating new
insights. By understanding different secondary analysis approaches, learners
will develop skills to extend theoretical understanding, validate prior
findings, and contribute innovative scholarly contributions across various
research domains.
Students analyse the need for secondary studies.
Students review secondary studies
Students develop a research design for a secondary study.
Students report the impact on theory and practice.
Students identify limitations of secondary studies.Presentation 50%; Written Essay 50%
- Know your field and related fields: Learn about the literature, both in your own (sub-field) of interest and other fields.
- Commit to a reading routine for your thesis
- Community building: The reading group will spawn discussion and encourage community building
- Ability
to present and confidence building: Learn how to present well. (This is
often easier with a paper that somebody else wrote – one is not as
emotionally involved in the question/
approach/ results as with one’s own paper.) - Discussion competence: Learn how to be a good seminar participant: Behave well, ask clear questions, discuss in an appropriate manner etc.
- Ability to understand: Learn how to read and approach research papers and learn to summarize the main message/
points of the paper - Participation in scientific discourse
- Learn how to evaluate a paper critically
- Writing a referee report
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
The course provides a forum to discuss recent state-of-the art papers in taxation research (mostly applied empirical). All covered papers are recently published or in the working paper stage. In each class session, one student briefly presents a research paper before the paper is discussed in class. All students are expected to read the research paper to be discussed in preparation for the class and it is one main objectives of the course that papers are lively discussed among all class participants.
Students can choose papers which they wish to present or the responsible instructors provide a selection from which to pick. Students are encouraged to choose papers which are on the reading list for their thesis. The course could also serve as a forum for discussing paper drafts of peers or researchers within the network.
In addition to presenting a paper in class, students are expected to write a referee report for a research paper. This will teach how to evaluate a paper critically and how to write a referee report.
The reading course is particularly aimed at 2nd and higher year Ph.D. students to support them during their research phase. 1st year PhD students are welcomed to attend the class as well. Students can attend and earn credits for both this class as well as the related class TAX 922 (which is taught in the spring semester).
Elective courses from the course offer of the CDSE
| Donnerstag (Einzeltermin) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Donnerstag (Einzeltermin) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Mittwoch (wöchentlich) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Mittwoch (wöchentlich) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Donnerstag (wöchentlich) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Donnerstag (wöchentlich) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Montag (wöchentlich) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Montag (wöchentlich) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Freitag (Einzeltermin) | 04.12.2026 | 08:30 – 18:00 | P 043 Seminarraum; L 7, 3–5 |
| ⚠ Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Montag (Einzeltermin) | 19.10.2026 | 08:30 – 10:00 | P 044 Seminarraum; L 7, 3–5 |
| Montag (Einzeltermin) | 26.10.2026 | 08:30 – 10:00 | 410 Besprechungsraum; L 7, 3–5 |
| Montag (Einzeltermin) | 02.11.2026 | 08:30 – 10:00 | P 044 Seminarraum; L 7, 3–5 |
| Montag (Einzeltermin) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Montag (Einzeltermin) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Montag (Einzeltermin) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Dienstag (Einzeltermin) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Mittwoch (Einzeltermin) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Donnerstag (Einzeltermin) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Freitag (Einzeltermin) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Mittwoch (wöchentlich) | 09.09.2026 – 16.09.2026 | 13:45 – 15:15 | |
| Mittwoch (wöchentlich) | 23.09.2026 – 09.12.2026 | 13:45 – 15:15 | 002 Seminarraum; L 9, 1–2 |
| Donnerstag (wöchentlich) | 08.10.2026 – 10.12.2026 | 10:15 – 11:45 | 009 Seminarraum; L 9, 1–2 |
- Prerequisites: First year PhD sequence, some programming experience on Python, Julia or Matlab. Course content will be taught in Python or Julia, with the latter being very similiar to Matlab. We briefly review Dynamic Programming, some understanding of it is necessary for following the content.
- Goals and Contents: The course will introduce different solution methods for macroeconomic models, both global and local, applicable to models with and without heterogeneous agents. Solution methods that will be discussed are value function iteration, policy function iteration, endogenous grid methods, as well as the use of deep learning for solving recursive problems.
- Expected Competences: Students gain knowledge and understanding how to use and implement numerical methods to solve dynamic programming problems on their computer.
- Requirements for the assignment of the ECTS-Credits and Grades: Problemsets with one in-class presentation of the solution to an exercise (10%), one presentation on a background topic related to numerical methods (10%), Midterm exam which covers theoretical foundations behind numerical methods (40%), Coding assigment in which students can extend or apply one of the methods discussed in class on predefined topics (40%)
| Montag (wöchentlich) | 07.09.2026 – 19.10.2026 | 13:45 – 15:15 | 002 Seminarraum; L 9, 1–2 |
| Mittwoch (wöchentlich) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Dienstag (wöchentlich) | 13.10.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Donnerstag (Einzeltermin) | 01.10.2026 | 10:45 – 12:15 | 002 Seminarraum; L 9, 1–2 |
| ⚠ Mittwoch (wöchentlich) | 07.10.2026 – 09.12.2026 | 11:00 – 12:30 | |
| Donnerstag (Einzeltermin) | 15.10.2026 | 10:45 – 12:15 | 210 Seminarraum; L 9, 1–2 |
| Donnerstag (Einzeltermin) | 05.11.2026 | 10:45 – 12:15 | 210 Seminarraum; L 9, 1–2 |
| ⚠ Donnerstag (wöchentlich) | 10.09.2026 – 17.09.2026 | 15:30 – 18:45 | 002 Seminarraum; L 9, 1–2 |
| Donnerstag (wöchentlich) | 24.09.2026 – 10.12.2026 | 15:30 – 18:45 | 410 Besprechungsraum; L 7, 3–5 |
Mandatory Research Courses
E800 CDSE Seminar
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 15:30 – 17:00 | S 031 Seminarraum; L 7, 3–5 |
SKL801 English Academic Writing
| Donnerstag (Einzeltermin) | 29.10.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Donnerstag (Einzeltermin) | 19.11.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 11.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Freitag (Einzeltermin) | 16.10.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Samstag (wöchentlich) | 17.10.2026 – 05.12.2026 | 09:00 – 13:00 | P 044 Seminarraum; L 7, 3–5 |
Bridge Course from the course offer of the CDSB or CDSS
Bridge Course – from the GESS course offer
| Donnerstag (wöchentlich) | 17.09.2026 – 03.12.2026 | 12:00 – 13:30 | ZOOM-Lehre-103; Virtuelles Gebäude |
For Master Students the course will be examined by an oral exam (50% presentation + 50% assignment) . Grading is 50% Oral Presentation + 50% Assignment.
For PhD students, this is a Pass/
- Give a paper presentation in building block 1.
- Participate in an IAT in building block 2.
- Give a conference presentation in building block 3.
- Participate in a negotiation in building block 4.
- Full and active participation in all four building blocks is necessary to pass the course.
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Montag (Blocktermin) | 26.10.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Montag (Blocktermin) | 02.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Montag (Blocktermin) | 09.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Montag (Blocktermin) | 16.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
This course takes an interdisciplinary approach to examine the gender gap in leadership positions.
We will analyze the psychological and economic reasons for the low fraction of women in leadership. While leadership positions are defined broadly and range from politics to public and private institutions, a special emphasis will be on the academic environment.
The course will highlight women’s educational and labor market choices, their fertility decisions, and their preferences. We will also examine structural hurdles for women to reach the top, for example stereotypes, discrimination, and social norms. Finally, the effectiveness of gender equality measures – such as quota systems – will be discussed. In addition to the theoretical and empirical fundamentals, the course also comprises two hands-on practical sessions taught by experienced instructors in which students’ rhetoric and negotiation skills are trained.
The course consists of four core building blocks:
1. Women in Leadership: The Economic Perspective.
This part of the course focusses on (economic) reasons for gender gaps in leadership positions. We start by looking at the status quo of women in leadership. Course participants are introduced to statistics on the fraction of women in various leadership positions (with an emphasis on women in academia). We will discuss time trends and differences across countries. Research evidence on the effectiveness of gender equality measures such as gender quotas and family friendly policies will be discussed and their impact on economic outcome variables such as women’s labor market choices and the gender pay gap will be examined. We will also examine gender differences in risk preferences and in the willingness to compete. The last part of this section deals with role model effects and students will be asked to prepare a short presentation on a female role model.
2. Women in Leadership: The Psychological Perspective.
The psychological perspective addresses gender stereotypes as one of the key barriers to female advancement into attractive organizational positions such as leadership positions. Gender stereotypes reflect widely shared expectations about the characteristics of men and women (descriptive component of gender stereotypes), but they can also prescribe how women and men should or should not behave (prescriptive stereotypes). Both kinds of stereotypical expectations about men and women can impact the way men and women define themselves and are perceived by others. Three sessions dealing with leadership and gender stereotypes will discuss stereotype contents, the changes over time and their impact on gender differences in leadership aspirations and success. In this context, we will address topics such as the “Think Manager – Think Male” – phenomenon, research on the Glass metaphors (glass ceiling, glass escalator, glass cliff), Queen Bee effects, backlash effects, as well as failure-as-an-asset effects. Students will be asked to discuss practical implications of the research presented and develop own ideas regarding interventions to increase the number of female leaders.
3. “Raise Your Voice” – Rhetoric Training
The third block consists of a hands-on training on delivering presentations in an academic context. Students will be instructed to present their research findings in a conference-like scenario. They will learn how to present their work in a convincing and professional manner and how to adequately respond to (critical) questions. Each student will have to give a short presentation and will receive individual feedback by the instructor on how to improve their presentation skills.
For successful training, students are asked to prepare the following items before the beginning of this block:
- Prepare a short presentation (5–7 minutes) on the following question: “What excites me about my research topic?”
- Bring a video-capable device (mobile phone or tablet) for the video exercises.
4. “Raise Your Pay” – Negotiation Training
The final part of this course teaches students negotiation skills. Students learn how to carry their point in a negotiation, how to deal with conflicts, and how to react to verbal attacks. Students will have to participate in a negotiation game and receive individual feedback by the instructor to improve their negotiation skills.
Training concept:
- Develop strategic negotiation skills for career advancement
- Apply theoretical insights through practical exercises
- Improve decision-making and conflict resolution capabilities
- Build a toolkit of negotiation tactics for salary, promotion, and career opportunities
As a prerequisite for participating in this training, students are expected to submit one personal negotiation topic in advance that they would like to address and develop during the course.
Bridge Course from the course offer of the CDSB (Accounting)
1. Recognize the anatomy of big papers: Identify what distinguishes high-impact research,
including a first-order question, a genuine innovation in idea, data, measurement,
or method, and a conceptual framework that generalizes beyond the specific setting.
2. Learn from agendas, not only papers: Reconstruct how leading scholars in accounting,
finance, and economics build cumulative research agendas rather than one-off papers, and
extract transferable principles.
3. Articulate innovation and impact: State precisely what is new about a project and which
stakeholders it speaks to (the academic field, policymakers, practitioners, society), and
position the project within or against existing literatures.
4. Design ambitious yet feasible projects: Translate a big question into a concrete research
design, and test feasibility early through data work: descriptive statistics that inform the
question or setting, and first patterns in the data worth extending toward a publicationready
project.
5. Master the operational side: Practice the everyday craft of executing an agenda, including
writing and presenting papers, receiving and incorporating feedback, managing
a portfolio of projects, and using modern tools (data pipelines, AI agents) productively.
6. Act as a citizen of the research community: Write constructive referee reports and
conference-style discussions, and understand howrefereeing, discussing, and seminar participation
feed back into one’s own agenda.
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
Bridge Course from the course offer of the CDSB (Management)
| Mittwoch (Einzeltermin) | 16.09.2026 | 10:15 – 12:15 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Dienstag (Einzeltermin) | 06.10.2026 | 13:45 – 14:45 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Donnerstag (Einzeltermin) | 19.11.2026 | 10:00 – 17:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
The course aims to provide the basic understanding of the institutions belonging to the nonprofit sector. Furthermore, the course addresses the relevant economic and managerial theories in order to be able to analyze the specific managerial problems of nonprofit organizations (NPOs).
Topics that may be touched include “History and Scope of the Nonprofit Sector”, “Nonprofits and the Marketplace”, “Nonprofits and the Polity”, “Key Activities in the Nonprofit Sector”, and “Mission and Governance”.
Bridge Course from the course offer of the CDSB (Operations Management)
| Mittwoch (wöchentlich) | 09.09.2026 – 09.12.2026 | 15:30 – 18:45 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Freitag (wöchentlich) | 09.10.2026 – 11.12.2026 | 12:00 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
Many optimization problems in practice are nonlinear. This course introduces PhD students of information systems, business administration, and computer science to the fundamentals of nonlinear optimization theory and solution methods. The course is partly taught in a seminar-style format. Topics will be assigned in class based on student preferences and needs with regard to their thesis.
| Donnerstag (wöchentlich) | 10.09.2026 – 28.01.2027 | 10:15 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
This elective course aims at PhD students in Operations. The course is taught in a seminar-style format. Each student gives three presentations about one own research project based on a draft of a paper. The aim is to discuss and sharpen the contributions of that work. The presentations are structured similar to papers in that field:
1. Models: Problem description, Model formulations, and contributions to scientific literature
2. Methods: Analytical or algorithmic approaches
3. Managerial Insights: Structured properties, data analysis, and numerical results
Students act as discussants to presentations of other students. At the end of the seminar students hand in a draft of the paper, which reflects the discussions to each single point.
Bridge Course from the course offer of the CDSB (Taxation)
1. Recognize the anatomy of big papers: Identify what distinguishes high-impact research,
including a first-order question, a genuine innovation in idea, data, measurement,
or method, and a conceptual framework that generalizes beyond the specific setting.
2. Learn from agendas, not only papers: Reconstruct how leading scholars in accounting,
finance, and economics build cumulative research agendas rather than one-off papers, and
extract transferable principles.
3. Articulate innovation and impact: State precisely what is new about a project and which
stakeholders it speaks to (the academic field, policymakers, practitioners, society), and
position the project within or against existing literatures.
4. Design ambitious yet feasible projects: Translate a big question into a concrete research
design, and test feasibility early through data work: descriptive statistics that inform the
question or setting, and first patterns in the data worth extending toward a publicationready
project.
5. Master the operational side: Practice the everyday craft of executing an agenda, including
writing and presenting papers, receiving and incorporating feedback, managing
a portfolio of projects, and using modern tools (data pipelines, AI agents) productively.
6. Act as a citizen of the research community: Write constructive referee reports and
conference-style discussions, and understand howrefereeing, discussing, and seminar participation
feed back into one’s own agenda.
Bridge Course from the course offer of the CDSS (Political Science)
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| ⚠ Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 116 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Montag (Einzeltermin) | 26.10.2026 | 10:15 – 13:30 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Mittwoch (Einzeltermin) | 28.10.2026 | 10:15 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Freitag (Einzeltermin) | 30.10.2026 | 10:15 – 13:30 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Montag (Einzeltermin) | 02.11.2026 | 10:15 – 13:30 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Mittwoch (Einzeltermin) | 04.11.2026 | 10:15 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Freitag (Einzeltermin) | 06.11.2026 | 10:15 – 13:30 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Mittwoch (wöchentlich) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Freitag (wöchentlich) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Montag (Einzeltermin) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
| Mittwoch (Einzeltermin) | 28.10.2026 | 15:30 – 17:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Bridge Course from the course offer of the CDSS (Psychology)
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Freitag (Einzeltermin) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Freitag (Einzeltermin) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Freitag (Einzeltermin) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Samstag (Einzeltermin) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Freitag (Einzeltermin) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Samstag (Einzeltermin) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
Bridge Course from the course offer of the CDSS (Sociology)
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Mittwoch (wöchentlich) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
In sociology and related fields, factorial survey experiments (FSE; also known as vignette experiments) are widely used to study a range of social phenomena, ranging discrimination and family decision-making to public opinion on sustainability, health or migration policies. This method combines experimental logic with survey techniques to examine the causal effects of multiple dimensions (e.g., jobseekers‘ education, age) on outcomes such as attitudes, judgments, or behavioral intentions (e.g., hiring discrimination). Typically, respondents evaluate one or several descriptions of hypothetical persons, objects, or situations (vignettes) that systematically vary along a set of characteristics. A particular strength of vignette experiments lies in their ability to capture complex decision-making processes, especially when compared to standard survey questions that often measure only single attitudes or isolated judgments.
This course provides an introduction to the methodological foundations of factorial survey experiments, discusses the strengths and limitations of the approach, and situates it within the broader family of experimental methods. Emphasis will be placed on practical application: through hands-on exercises, students will learn how to develop and conduct their own factorial survey experiment, from formulating research questions and constructing vignettes to preparing the design for implementation. By the end of the course, participants will be able to critically assess experimental research in the social sciences and to design their own research project using factorial survey experiments.
Students will be required to create an account on the SAS on Demand platform using their student E-Mail adress (free of charge) as well as register with SoScie-Survey via the university’s license. Students will further need access to R, which we will use for statistical analyses.
| Montag (wöchentlich) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
Support during the dissertation writing process
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | 410 Besprechungsraum; L 7, 3–5 |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Mittwoch (Einzeltermin) | 14.10.2026 | 15:30 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Mittwoch (Einzeltermin) | 11.11.2026 | 15:30 – 17:00 | 210 Seminarraum; L 9, 1–2 |
| Montag (Einzeltermin) | 21.12.2026 | 08:30 – 10:00 |
| Mittwoch (2-wöchentlich) | 16.09.2026 – 02.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Donnerstag (Einzeltermin) | 01.10.2026 | 10:15 – 11:45 | 158 PC-Pool; L 7, 3–5 |
| Mittwoch (Einzeltermin) | 07.10.2026 | 10:15 – 11:45 | 158 PC-Pool; L 7, 3–5 |
| Donnerstag (Einzeltermin) | 15.10.2026 | 10:15 – 11:45 | 158 PC-Pool; L 7, 3–5 |
| Donnerstag (Einzeltermin) | 22.10.2026 | 10:15 – 11:45 | 158 PC-Pool; L 7, 3–5 |
| Mittwoch (wöchentlich) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | 410 Besprechungsraum; L 7, 3–5 |
| Montag (Einzeltermin) | 07.09.2026 | 13:45 – 15:15 | S 031 Seminarraum; L 7, 3–5 |
| Dienstag (Einzeltermin) | 22.09.2026 | 12:30 – 14:00 | |
| Montag (Einzeltermin) | 05.10.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Dienstag (Einzeltermin) | 20.10.2026 | 12:30 – 14:00 | |
| Montag (Einzeltermin) | 02.11.2026 | 13:45 – 15:15 | 210 Seminarraum; L 9, 1–2 |
| Dienstag (Einzeltermin) | 17.11.2026 | 12:30 – 14:00 | |
| Montag (Einzeltermin) | 30.11.2026 | 13:45 – 15:15 | 210 Seminarraum; L 9, 1–2 |
| Dienstag (Einzeltermin) | 15.12.2026 | 12:30 – 14:00 |
| Mittwoch (wöchentlich) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Donnerstag (Einzeltermin) | 10.09.2026 | 15:45 – 16:45 | |
| Montag (Einzeltermin) | 14.09.2026 | 15:00 – 16:30 | |
| Montag (Einzeltermin) | 14.09.2026 | 16:40 – 17:40 | |
| Mittwoch (2-wöchentlich) | 16.09.2026 – 02.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Mittwoch (wöchentlich) | 09.09.2026 – 09.12.2026 | 15:30 – 17:00 | S 031 Seminarraum; L 7, 3–5 |
Instructor: Michèle Tertilt, Nina Boberg-Fazlic
Offered: every semester
method (hours per week): Seminar (2)
Course level: Ph.D.
Course language: English
ECTS-Credits: 5
Prerequisites: First and second year Ph.D. courses
Course description: Research seminar where Ph.D. students, who have completed their course work, present their own research and receive feedback. Occasionally we will also have an outside speaker.
Requirements for the assignment: Presenting of Research Projects
| Mittwoch (wöchentlich) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Montag (2-wöchentlich) | 14.09.2026 – 07.12.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Montag (2-wöchentlich) | 14.09.2026 – 07.12.2026 | 13:45 – 15:15 | ZOOM-Lehre-037; Virtuelles Gebäude |
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Donnerstag (wöchentlich) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Dienstag (wöchentlich) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | 410 Besprechungsraum; L 7, 3–5 |
| Montag (Einzeltermin) | 19.10.2026 | 13:45 – 15:15 | 410 Besprechungsraum; L 7, 3–5 |
