Liebe Kolleg*innen in der Methoden-Sektion,
im GESIS Fall Seminar in Computational Science gibt es noch einige freie Plätze. Unten
die entsprechende Ankündigung.
Viele Grüße
Sebastian
***Apologies for cross-posting***
Dear colleagues,
Want to spend some time in September diving into computational social science methods? You can still register for our upcoming courses in this year’s GESIS Fall Seminar in Computational
Social Science (01-26 September 2025), which offers a variety of introductory and advanced courses in Mannheim or online.
For example, learn how to unlock the power of images or videos for your research project with cutting-edge methods of
Computer
Vision. Simulate, test, and enhance theories through data-driven simulations in
Agent-Based
Computational Modeling. Or go beyond basic descriptive measures and dive deep into statistical models and techniques for analyzing
Social
Networks.
You can find the complete course program below. Each course features an interactive mix of lectures and hands-on exercises and can be booked separately, so you can tailor your
learning experience to match your needs and interests. As some courses are almost booked out, we recommend to register as soon as possible to secure your place.
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, Vrije Universiteit Amsterdam and Sjoerd Stolwijk, University of Amsterdam
Advanced
Methods for Social Network Analysis
[15-19 September | now online]
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).
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.
If you can’t make it in September, but you’re curious about what’s going on inside
your machine learning models, check out Explainable AI und
Fair Machine Learning
(22-24 October | online), which takes you on a hands-on tour through this fast-growing research field. Whether you're concerned about bias or just want
to understand your model’s decisions, this workshop offers both the theory and practice to get you started.
Never miss a GESIS Training course by subscribing to our
newsletter.
Thank you for forwarding this announcement to other interested parties.
Best wishes,
Your GESIS Fall Seminar team
---
GESIS – Leibniz Institute for the Social Sciences
GESIS Fall Seminar in Computational Social Science
email:
fallseminar@gesis.org
web:
www.gesis.org/fallseminar
bluesky:
https://bsky.app/profile/gesistraining.bsky.social
facebook:
https://www.facebook.com/GESISTraining
linkedin: https://www.linkedin.com/company/gesistraining
Sebastian E. Wenz
(he/him) |
Senior Researcher |
KEO | Training |
|
|
Unter Sachsenhausen 6-8 |
50667 Köln |
+49 (0) 221 47694-159 |
|
|
You can find our information on data protection at
https://www.gesis.org/en/institute/data-protection |