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GESIS Fall Seminar in Computational Social Science (2023)

11 September  - 29 September 2023, GESIS Mannheim

The GESIS Fall Seminar in Computation Social Science targets social scientists, data scientists, and researchers in the digital humanities that collect and analyze data from the web, social media, or digital text archives. Its one-week courses are taught by both GESIS and international experts and cover methods and techniques for collecting and analyzing digital behavioral data (“big data”), for example Machine Learning or Text Mining using both R and Python. Lectures in each course are complemented by hands-on exercises giving participants the opportunity to apply these methods to data. All courses are held in English.

Automated Image and Video Analysis with Python

Andreu Casas, Felicia Loecherbach

Automated Web Data Collection with Python

Felix Soldner, Jun Sun, Leon Froehling

Automated Web Data Collection with R

Allison Koh, Hauke Licht