***Apologies for cross-posting*** 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 (01-26 September 2025), which offers a variety of introductory and advanced courses in Mannheim or online. For example, learn how to unlock the power of images or videos for your research project with cutting-edge methods of Computer Vision<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0x68251B86E29C44DCB9A4A7677854801D>. Simulate, test, and enhance theories through data-driven simulations in Agent-Based Computational Modeling<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0xEF5032CB7F6240F183317023B7B00B99>. Or go beyond basic descriptive measures and dive deep into statistical models and techniques for analyzing Social Networks<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0x071D9F34E4684271B0785EC5B7A1B2BD>. You can find the complete course program below. Each course features an interactive mix of lectures and hands-on exercises and can be booked separately, so you can tailor your learning experience to match your needs and interests. As some courses are almost booked out, we recommend to register as soon as possible to secure your place. Introduction to Computational Social Science with R<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0xEF372D66C5804143A89FCEC3A074558C> [01-05 September | online] Johannes B. Gruber, GESIS Introduction to Computational Social Science with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0xE6BECB3611074D1DB3BB13F97C84A531> [01-05 September | online] John McLevey, Memorial University Web Data Collection with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0x70F65BECD9614A0393B8EC9AE1E20486> [08-12 September | online] Iulia Cioroianu, University of Bath Web Data Collection with R<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0x5201D0F48FC24D29A08EFA56D9713E38> [08-12 September | online] Iulia Cioroianu, University of Bath Introduction to Machine Learning for Text Analysis with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0x39F983BFF49D4491ABCC8839D329EE9A> [15-19 September | Mannheim] Rupert Kiddle, Vrije Universiteit Amsterdam and Sjoerd Stolwijk, University of Amsterdam Advanced Methods for Social Network Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0x071D9F34E4684271B0785EC5B7A1B2BD> [15-19 September | now online] Lorien Jasny, University of Exeter Computer Vision for Image and Video Data Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0x68251B86E29C44DCB9A4A7677854801D> [15-19 September | Mannheim] Andreu Casas, Royal Holloway University of London Agent-Based Computational Modeling<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0xEF5032CB7F6240F183317023B7B00B99> [22-26 September | Mannheim] Daniel Mayerhoffer, University of Amsterdam From Embeddings to LLMs: Advanced Text Analysis with Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0x7FF5E5BBB84F455B8908F01AFDFB29FF> [22-26 September | Mannheim] Hauke Licht, University of Innsbruck Causal Machine Learning<https://training.gesis.org/?site=pDetails&child=full&pID=0x5BF8A4FD062A4262BB2477F11CC54752&subID=0x8DC93F5E6C5942C8A9561B6086B8BDA5> [22-26 September | online] Marica Valente, University of Innsbruck For those without any prior experience in R or Python and those who'd like a refresher, we're additionally offering two online pre-courses, "Introduction to R<https://training.gesis.org/?site=pDetails&child=full&pID=0x6B23F7D6B1B04F17BAE7B9EFA5DEAACB>" (25-27 August) and "Introduction to Python<https://training.gesis.org/?site=pDetails&child=full&pID=0x1C27B105B95849688BCC03C470000410>" (25-28 August). For detailed course descriptions and registration, please visit our website<https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-computational-social-science> and sign up here<https://training.gesis.org/?site=pDetails&child=full&pID=0x6C2F9D88EDAD43D197A2F284BAA9B007&subID=0x5236DF24115A4DABBA25118B4A81384D>! If you're looking for recommendations on which courses to combine, we've put together a handy guide for you here<https://www.gesis.org/en/gesis-training/what-we-offer/fall-seminar-in-computational-social-science/course-recommendations>. If you can't make it in September, but you're curious about what's going on inside your machine learning models, check out Explainable AI und Fair Machine Learning<https://training.gesis.org/?site=pDetails&child=full&pID=0x41164873F43B42B09A1B8CD2C8ABF913> (22-24 October | online), which takes you on a hands-on tour through this fast-growing research field. Whether you're concerned about bias or just want to understand your model's decisions, this workshop offers both the theory and practice to get you started. Never miss a GESIS Training course by subscribing to our newsletter<https://www.gesis.org/en/gesis-training/about-us/newsletter>. 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<mailto:fallseminar@gesis.org> web: www.gesis.org/fallseminar<http://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<https://www.linkedin.com/company/gesistraining/>