Graduate School of Economic and Social Sciences (GESS)

The Graduate School of Economic and Social Sciences (GESS) at the University of Mannheim provides graduate training in empirical and quantitative methods as well as their application to business, economics, and the social sciences. The 11 full-time three to five year PhD programs provide access to world-class teaching and a vibrant and international faculty at the forefront of cutting-edge research. All programs are characterized by focusing on achieving excellence in research in its own discipline. At the same time the program structure encourages to exchange ideas, methods and approaches to research across the boundaries of the economic and social sciences.

The GESS Center for Doctoral Studies in Social and Behavioral Sciences (CDSS) opens courses for SMiP members to participate in (see SMiP qualification program) and SMiP does so for CDSS students.

The following courses from the SMiP qualification program are open for CDSS students:

  • Core Courses

    Foundations 1

    Instructor:Thorsten Meiser
    Block 1:

    Dates: 15.10. (09:30 - 17:30) and 16.10.2020 (09:00 - 17:00)

    Location: Mannheim (Schloss Ostflügel, room O142)

    Block 2:

    Dates: 19.11. (14:00 - 17:00) and 20.11.2020 (14:00 - 17:00)

    Location: remote, invitation via email for registered participants.

    PLUS: The instructor will share prep materials to study before the interactive online sessions.

    Block 3:

    Dates: 11.01. (09:30 - 17:30) and 12.01.2021 (09:00 - 17:00)

    Location: remote, invitation via email for registered participants.

  • Trainings

    Rules of Good Scientific Practice

    Instructor:Arndt Bröder
    Date:13.11.2020 (10:00 - 18:00)
    Location:remote, invitation via email for registered participants.

     

    Writing Research Proposals

    Instructor:Benjamin Hilbig
    Attention:The instructor will give homework tasks and share two short video tutorials with the registered participants.
    Note:Some course contents will be postponed to next semester's training.
    Assignment:Dissertation proposal by the end of March 2021.

     

  • Workshops

    Hands-on browser-based Experimentation 

    Instructor:

    Felix Henninger

    Dates:

    05. - 09.10.2020 (16:30 - 18:30) and 20.10.2020 (13:00 - 18:00)

    Location:

    ZOOM Invitation via email for registered participants.
    Plus:The instructor will share slides with audio explanations to study before the interactive online sessions.

     

    Introduction to R: Basics *

    Instructor:

    Martin Schnuerch

    Date:

    29.10.2020 (10:00 - 18:00)

    Location:

    ZOOM Invitation via email for registered participants.

     

    Introduction to R: Advanced *

    Instructor:

    Martin Schnuerch

    Date:

    30.10.2020 (10:00 - 18:00)

    Location:

    ZOOM Invitation via email for registered participants.

     

    Cognitive Modeling in R 

    Instructor:

    Klaus Oberauer

    Dates:

    05.11. (10:00 - 18:00) and 06.11.2020 (09:00 - 17:00)

    Location:

    ZOOM Invitation via email for registered participants.

     

    Even more power for SMiP: Basic and advanced statistical power analysis using G*Power and multiTree 

    Instructor:

    Edgar Erdfelder

    Date:

    27.11.2020 (13:00 - 17:00)

    Location:

    ZOOM Invitation via email for registered participants.
    Assignment:Short homework report on own power analysis.

     

    Evidence, Errors, and Belief: A Stroll through the Statistical Inference Maze 

    Instructor:

    Martin Schnuerch

    Dates:

    10.12. and 11.12.2020 (14:00 - 18:00)

    Location:

    ZOOM Invitation via email for registered participants.
    Plus:The instructor will share prep materials to study before the interactive online sessions.

     

    Improving your statistical questions 

    Instructor:

    Daniel Lakens

    Dates:

    21.01. (10:00 - 18:00) and 22.01.2021 (09:00 - 17:00)

    Location:

    ZOOM Invitation via email for registered participants.

     


    * Recommended for the first year PhD Candidates.

Please register by 31 August 2020 via email with Annette Förster.

Here you can find the (continuously updated) complete SMiP program.