The Fall Seminar in Computational Social Science usually takes place at GESIS in September. Its 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. 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.
The Fall Seminar in Computational 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.
Each course has specific prerequisites, which will be detailed on the course websites. In addition, all Fall Seminar participants are expected to:
- have basic knowledge of empirical research methods;
- have a good command of English.