Dear colleagues,
Want to spend some time in September diving into computational social science methods? You can still register for our upcoming courses in this year’s GESIS Fall Seminar in Computational Social Science (31 August – 29 September 2026), which offers a variety of introductory and advanced courses in Mannheim or online. If you want to collect or analyze data
from the web, social media, or digital archives, learn from leading experts in the field, and connect with other like-minded researchers, the Fall Seminar is the right place for you! All courses feature an interactive mix of lectures and hands-on exercises, giving you the opportunity to directly apply your newly acquired skills and knowledge to real-world data.
Please find our full course program on our website.
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. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. To secure a place in the course(s) of your choice, we strongly recommend that you register as soon as possible before they are fully booked.
Thanks to our cooperation with the a.r.t.e.s. Graduate School for the Humanities at the University of Cologne, participants can obtain a certificate acknowledging a workload worth 2 ECTS credit points per one-week course. More information is available here.
For detailed course descriptions and registration, please visit our website and sign up here! Feel free to contact us if we can assist you with tailored recommendations for possible course combinations or if you have any other questions.
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Thank you for forwarding this announcement to other interested parties.
Best wishes,
Your GESIS Fall Seminar team
—
GESIS – Leibniz Institute for the Social Sciences
GESIS Fall Seminar in Computational Social Science
email: fallseminar@gesis.org
web: www.gesis.org/fallseminar
bluesky: https://bsky.app/profile/gesistraining.bsky.social
facebook: https://www.facebook.com/GESISTraining
linkedin: https://www.linkedin.com/company/gesistraining/
Dr. Verena Kunz (she/her)
Postdoc & Scientific Coordinator
Department KEO / Team Training
B6, 4-5 | 68159 Mannheim
verena.kunz@gesis.org
