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GESIS Fall Seminar in Computational Social Science

Out Now: Program of the GESIS Fall Seminar in Computational Social Science 2022 (5-23 September)

Join us at the new GESIS premises in Mannheim for the 2022 Fall Seminar and choose from a variety of introductory and advanced courses on computational social science methods!

Check out the full course list and course descriptions and register now at

The GESIS Fall Seminar in Computational Social Science takes place in Mannheim annually over the course of three weeks in September. Its courses are taught by both GESIS and international experts and cover methods and techniques of working with digital behavioral data (“big data”). The Fall Seminar targets advanced graduate or PhD students, post-docs, junior and senior researchers in the social sciences, data science or digital humanities who collect and analyze data from the web, social media, or digital text archives. Week 1 (5-9 September) comprises courses on the foundations of working with digital behavioral data, courses in Week 2 (12-16 September) focus on the collection and management of big data, and courses in Week 3 (19-23 September) cover different techniques for analyzing these data. Lectures in each course are complemented by hands-on exercises giving participants the opportunity to apply these methods to data. Ample opportunities for networking and social events (pending on the Covid situation) complete the Fall Seminar experience. All courses are held in English.

Week 1 (5-9 September): Foundations of working with digital behavioral data

Week 2 (12-16 September): Collection and management of digital behavioral data

Week 3 (19-23 September): Analyzing digital behavioral data

For those without any prior experience in R or Python and those who’d like a refresher, we’re additionally offering two pre-courses “R 101” and “Python 101” (two days, online) in the week before the start of the Fall Seminar – join those for optimal preparation! 

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. For some recommendations of possible course sequences, click here

Should you be unsure which course is the right one for you, please do not hesitate to contact us. We are happy to assist you!

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.