From 31 August to 29 September 2026, the “GESIS Fall Seminar in Computational Social Science” will be held in Mannheim, Germany, and online. The seminar is open to master’s and doctoral students, postdoctoral researchers, and scholars at all career stages working in computational social science.
Seminar programme:
Week 1 (31.08.2026–04.09.2026)
- ● Introduction to Computational Social Science with R
- ● Introduction to Computational Social Science with Python
Week 2 (07.09.2026–11.09.2026)
Week 3 (14.09.2026–18.09.2026)
- ● Introduction to Machine Learning for Text Analysis with Python
- ● Agent-Based Modeling & Simulation
- ● Computer Vision for Image and Video Data Analysis with Python
Week 4 (21.09.2026–25.09.2026)
- ● From Embeddings to LLMs: Advanced Text Analysis with Python
- ● Causal Machine Learning
- ● Mobile Data Collection and Analysis: Intensive Longitudinal Methods
The seminar courses will be delivered by leading experts in the field, combining theoretical instruction with practical exercises designed to support the application of newly acquired knowledge. The programme will include both introductory and advanced courses focused on the collection and analysis of digital behavioural data from the web, social media, and digital archives.
Register for the event here.
Additional information about the event is provided here.
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