We are excited to announce the program of the GESIS Fall Seminar in Computational Social Science 2025. The Fall Seminar takes place from 01 to 26 September and offers a variety of introductory and advanced courses in computational social science methods in Mannheim and online. It targets researchers who want to collect and analyze data from the web, social media, or digital text archives.

Participants can pick from ten week-long courses, including introductory courses on Computational Social Science, Web Data Collection, and Machine Learning, and more specialized topics such as Computer Vision, Large Language Models, Agent-Based Computational Modeling, Causal Machine Learning, and Social Network Analysis. All courses feature an interactive mix of lectures and hands-on exercises, giving participants the opportunity to apply these methods to data.

Introduction to Computational Social Science with R [01-05 September | online]
Johannes B. Gruber, GESIS

Introduction to Computational Social Science with Python [01-05 September | online]
John McLevey, Memorial University

Web Data Collection with Python [08-12 September | online]
Iulia Cioroianu, University of Bath

Web Data Collection with R [08-12 September | online]
Iulia Cioroianu, University of Bath

Introduction to Machine Learning for Text Analysis with Python [15-19 September | Mannheim]
Rupert Kiddle and Damian Trilling, Vrije Universiteit Amsterdam

Advanced Methods for Social Network Analysis [15-19 September | Mannheim]
Lorien Jasny, University of Exeter

Computer Vision for Image and Video Data Analysis [15-19 September | Mannheim]
Andreu Casas, Royal Holloway University of London

Agent-Based Computational Modeling [22-26 September | Mannheim]
Daniel Mayerhoffer, University of Amsterdam

From Embeddings to LLMs: Advanced Text Analysis with Python [22-26 September | Mannheim]
Hauke Licht, University of Innsbruck

Causal Machine Learning [22-26 September | online]
Marica Valente, University of Innsbruck

For those without any prior experience in R or Python and those who’d like a refresher, we’re additionally offering two online pre-courses, “Introduction to R” (25-27 August) and “Introduction to Python” (25-28 August).

All courses are stand-alone and can be booked separately – feel free to mix and match to build your own personal Fall Seminar experience that perfectly suits your needs and interests. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. To secure a place in the course(s) of your choice, we strongly recommend that you register early.

Thanks to our cooperation with the a.r.t.e.s. Graduate School for the Humanities at the University of Cologne, participants of the GESIS Fall Seminar can obtain 2 ECTS credit points per one-week course. More information is available here.

For detailed course descriptions and registration, please visit our website and sign up here! If you’re looking for recommendations on which courses to combine, we’ve put together a handy guide for you here.

For further training opportunities, have a look at our Summer School in Survey Methodology and workshop program. In particular, do not miss these upcoming CSS workshops:

Adapters: Lightweight Machine Learning for Social Science Research [02-04 June | Cologne & online]

Preprocessing and Analyzing Web Tracking Data [02-03 June | Cologne & Online]

Interactive Data Analysis with Shiny [03-04 & 10-11 July | online]

Designs and Methods for Mobile Data Collection [09-11 July | online]

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Thank you for forwarding this announcement to other interested parties.

Best wishes,
Your GESIS Fall Seminar team

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GESIS – Leibniz Institute for the Social Sciences
GESIS Fall Seminar in Computational Social Science

email: fallseminar@gesis.org
web: www.gesis.org/fallseminar
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Dr. Sebastian E. Wenz

Senior Researcher

GESIS – Leibniz Institute for the Social Sciences

Phone: +49 221-47694-159
www.gesis.org/training