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GESIS Fall Seminar in Computational Social Science

Out Now: Program of the GESIS Fall Seminar in Computational Social Science 2023 (11-29 September)

Join us at the new GESIS premises in Mannheim for the 2023 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. Participants can pick from nine week-long courses, including introductory courses on Computational Social Science, Web Data Collection, Big Data Management, or Machine Learning, and more specialized topics such as Automated Image and Video Data Analysis, Deep Learning for Advanced Computational Text Analysis, or Network Analysis. 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.

Week 1 (11-15 September)

Week 2 (18-22 September)

Week 3 (25-29 September)

For those without any prior experience in R or Python and those who’d like a refresher, we’re additionally offering two pre-courses “Introduction to R” and “Introduction to Python” (three 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!

► Find more information on course fees, ECTS credits, and how to contact us on our website. 

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