[Commlist] GESIS Fall Seminar in Computational Social Science 2025

The GESIS Fall Seminar team is 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. Communication and Media Scholars are more than welcome!

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 | https://t1p.de/IntroCSSwithR] Johannes B. Gruber, GESIS

Introduction to Computational Social Science with Python [01-05 
September | online | https://t1p.de/IntroCSSwithPython]
John McLevey, Memorial University

Web Data Collection with Python [08-12 September | online | 
https://t1p.de/WebDataCollectionwithPython]
Iulia Cioroianu, University of Bath

Web Data Collection with R [08-12 September | online | 
https://t1p.de/WebDataCollectionwithR]
Iulia Cioroianu, University of Bath

Introduction to Machine Learning for Text Analysis with Python [15-19 
September | Mannheim | https://t1p.de/IntroMLTextAnalysis]
Rupert Kiddle and Damian Trilling, Vrije Universiteit Amsterdam

Advanced Methods for Social Network Analysis [15-19 September | Mannheim 
| https://t1p.de/AdvancedSNA] Lorien Jasny, University of Exeter

Computer Vision for Image and Video Data Analysis with Python [15-19 
September | Mannheim | https://t1p.de/ImageVideoAnalysis]
Andreu Casas, Royal Holloway University of London

Agent-Based Computational Modeling [22-26 September | Mannheim | 
https://t1p.de/Agent-BasedComModeling]
Daniel Mayerhoffer, University of Amsterdam

From Embeddings to LLMs: Advanced Text Analysis with Python [22-26 
September | Mannheim | https://t1p.de/AdvancedTextAnalysiswithPython]
Hauke Licht, University of Innsbruck

Causal Machine Learning [22-26 September | online | 
https://t1p.de/CausalML] 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 | https://t1p.de/WSIntrotoR) and 
"Introduction to Python" (25-28 August | https://t1p.de/WSIntrotoPython).

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 at 
https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-computational-social-science/ects-credits.

For detailed course descriptions and registration, please visit our 
website 
(https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-computational-social-science) 
and sign up at 
https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x5236DF24115A4DABBA25118B4A81384D! 

If you're looking for recommendations on which courses to combine, we've 
put together a handy guide for you: 
https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-computational-social-science/course-recommendations.

For further training opportunities, have a look at our Summer School in 
Survey Methodology 
(https://www.gesis.org/en/gesis-training/what-we-offer/summer-school-in-survey-methodology) 
and our workshop program 
(https://www.gesis.org/en/gesis-training/what-we-offer/workshops-tailored-to-your-needs). 
In particular, do not miss these upcoming CSS workshops:

Adapters: Lightweight Machine Learning for Social Science Research 
[02-04 June | Cologne & online | 
https://t1p.de/adapters-lightw-machine-learn-2025]
Preprocessing and Analyzing Web Tracking Data [02-03 June | Cologne & 
Online | https://tinyurl.com/webtrackingdata]
Interactive Data Analysis with Shiny [03-04 & 10-11 July | online | 
https://t1p.de/interact-data-analysis-2025]
Designs and Methods for Mobile Data Collection [09-11 July | online | 
https://t1p.de/mobile-data-collection-25]

Never miss a GESIS Training course by subscribing to our newsletter 
(https://www.gesis.org/en/gesis-training/about-us/newsletter). For any 
questions, don't hesitate to contact us at (fallseminar /at/ gesis.org).
Thank you for forwarding this announcement to other interested parties.


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