***Apologies for cross-posting*** Dear colleagues, As registration for the GESIS Summer School 2026 is currently open, we would like to take this opportunity to once again share the program and kindly ask you to circulate it within your networks, to colleagues, students, and researchers who may be interested in participating. The program takes place from 22 July to 14 August 2026 – most courses will be held onsite at GESIS Cologne, and some online via Zoom, or in a hybrid format, where onsite or online participation is possible. Join lecturers and participants from diverse fields and all over the world at one of Europe's leading summer schools in survey methodology, research design, and data collection and analysis. Go to www.gesis.org/summerschool<http://www.gesis.org/summerschool> or read on below for an overview of this year's courses as well as information on ECTS credits. _Program Week 1 (22–24 July) – Short Courses Introduction to R for Data Analysis<https://t1p.de/GSS26-SCA> [22–23 July] Jan Schwalbach (GESIS), Dennis Abel (GESIS) Introduction to Stata for Data Management and Analysis<https://t1p.de/GSS26-SCB> [22–23 July] Lynn-Malou Lutz (GESIS), Sophia Hamdorf (GESIS) Pretesting Survey Questions<https://t1p.de/GSS26-SCC> [22–24 July] Timo Lenzner (GESIS), Patricia Hadler (SHARE) Systematic Review, Meta-Analysis, and Evidence Synthesis Using Model Selection<https://t1p.de/GSS26-SCD> [22–24 July] Rebecca Kuiper (Utrecht University), Jessica Daikeler (GESIS) Week 2 (27–31 July) Factorial Survey Design<https://t1p.de/GSS26-C1> Katrin Auspurg (LMU Munich), Alisia Bauer (LMU Munich), Carsten Sauer (University of Bielefeld) Advanced Questionnaire Design<https://t1p.de/GSS26-C2> Marek Fuchs (Darmstadt University of Technology) AI-Assisted Surveys: Using AI Tools at Each Step of the Survey Research Process<https://t1p.de/GSS26-C3> Mario Callegaro (Callegaro Research Limited) Week 3 (03–07 August) Data Science Techniques for Survey Researchers<https://t1p.de/GSS26-C4> Fiona Draxler (University of Mannheim), Anna Steinberg Schulten (LMU Munich) Latent Variable Modeling in Survey Research: Classical and New Approaches<https://t1p.de/GSS26-C5> David Goretzko (Goethe University Frankfurt), Melanie Viola Partsch (Utrecht University) Advanced Survey Design<https://t1p.de/GSS26-C6> Bella Struminskaya (Utrecht University), Camilla Salvatore (Utrecht University) Week 4 (10–14 August) Causal Inference Using Survey Data<https://t1p.de/GSS26-C7> Heinz Leitgöb (University of Leipzig), Tobias Wolbring (Friedrich-Alexander University Erlangen–Nuremberg) Applied Introduction to Bots in Web-based Studies<https://t1p.de/GSS26-C8> Jan Karem Höhne (DZHW, Leibniz University Hannover), Joshua Claassen (DZHW, Leibniz University Hannover) Sampling and Weighting in Survey Statistics<https://t1p.de/GSS26-C9> Anne Konrad (Leibniz Institute for Educational Trajectories (LIfBi) Applied Causal Inference Using Directed Acyclic Graphs (DAGs)<https://t1p.de/GSS26-SCE> [12–14 August] Beyers Louw (Erasmus University Rotterdam) _ ECTS Credits, Scholarships & More Thanks to our cooperation with the Center for Doctoral Studies in Social and Behavioral Sciences<https://www.uni-mannheim.de/gess/programs/cdss/> at the University of Mannheim, participants can obtain a certificate acknowledging a workload worth 4 ECTS credit points per one-week course. More information is available here<https://www.gesis.org/en/gesis-training/what-we-offer/summer-school-in-survey-methodology/ects-credits>. 4 Scholarships were granted to Summer School participants for one-week courses. Grants are disbursed by the European Survey Research Association<https://www.europeansurveyresearch.org/> (ESRA). There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. You will find the full program, detailed course descriptions, and more information here<t1p.de/GSS26-Program>. Never miss a GESIS Training course by subscribing to our newsletter<https://www.gesis.org/en/gesis-training/about-us/newsletter>. Check out these additional workshops on survey methods and data analysis: 18–20/11/26 Survey Data Integration<https://training.gesis.org/?site=pDetails&child=full&pID=0xF44BD8F19ECA447A97D79B7C1379EA08&lang=de_DE&lang=en_US> 24–25/11/26 Data Quality Assessment for Survey Responses: Be Careful of the Careless<https://t1p.de/DataQualityAssessment> Best wishes, Your GESIS Summer School team -- GESIS – Leibniz Institute for the Social Sciences GESIS Summer School in Survey Methodology Email: summerschool@gesis.org<mailto:summerschool@gesis.org> Web: www.gesis.org/summerschool<http://www.gesis.org/summerschool> Bluesky: https://bsky.app/profile/gesistraining.bsky.social Facebook: https://www.facebook.com/GESISTraining LinkedIn: https://www.linkedin.com/company/gesistraining