We are excited to announce that registration for the GESIS Summer School 2026 is now open! 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 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 [22–23 July]
Jan Schwalbach (GESIS), Dennis Abel (GESIS)
Introduction to Stata for Data Management and Analysis [22–23 July]
Lynn-Malou Lutz (GESIS), Sophia Hamdorf (GESIS)
Pretesting Survey Questions [22–24 July]
Timo Lenzner (GESIS), Patricia Hadler (SHARE)
Collecting and Aggregating Evidence Across Multiple Studies [22–24 July]
Rebecca Kuiper (Utrecht University), Jessica Daikeler (GESIS)
Week 2 (27–31 July)
Katrin Auspurg (LMU Munich), Alisia Bauer (LMU Munich), Carsten Sauer (University of Bielefeld)
Marek Fuchs (Darmstadt University of Technology)
AI-Assisted Surveys: Using AI Tools at Each Step of the Survey Research Process
Mario Callegaro (Callegaro Research Limited)
Week 3 (03–07 August)
Data Science Techniques for Survey Researchers
Fiona Draxler (University of Mannheim), Anna Steinberg Schulten (LMU Munich)
Latent Variable Modeling in Survey Research: Classical and New Approaches
David Goretzko (Goethe University Frankfurt), Melanie Viola Partsch (Utrecht University)
Bella Struminskaya (Utrecht University), Camilla Salvatore (Utrecht University)
Week 4 (10–14 August)
Causal Inference Using Survey Data
Heinz Leitgöb (University of Leipzig), Tobias Wolbring (Friedrich-Alexander University Erlangen–Nuremberg)
Applied Introduction to Bots in Web-based Studies
Jan Karem Höhne (DZHW, Leibniz University Hannover), Joshua Claassen (DZHW, Leibniz University Hannover)
Sampling and Weighting in Survey Statistics
Anne Konrad (Leibniz Institute for Educational Trajectories (LIfBi)
Applied Causal Inference Using Directed Acyclic Graphs (DAGs) [12–14 August]
Beyers Louw (Erasmus University Rotterdam)
Scholarships, ECTS Credits & More
4 Scholarships are available to Summer School participants for one-week courses. Grants are disbursed by the European Survey Research Association (ESRA). Thanks to our cooperation with the Center for Doctoral Studies in Social and Behavioral Sciences 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.
You will find the full program, detailed course descriptions, and more information here.
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.
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Check out these additional workshops on survey methods and data analysis:
16–17 & 23–24/04/26 Bayesian Modeling: From Foundations to Custom Solutions
06–07/05/26 Introduction to Conjoint Survey Experiments
18–20/11/26 Survey Data Integration
