Impressions from the ESRA Survey Methodology Summer School 2026

Last week, the Faculty of Social Sciences hosted the Survey Methodology Summer School, organized by the European Survey Research Association (ESRA) and the Centre for Social Informatics. During the 3-day event, 6 lectures took place on different topics about survey methodology.

1. How much and how well can AI assist the steps necessary to carry out a survey? A primer of AI assisted surveys based on the latest research from the academic literature (Mario Callegaro)
2. Integrating Large Language Models in the Questionnaire Design Process (Caroline Roberts)
3. Web tracking: Augmenting web surveys with data on website visits, search terms, and app use (Joshua Claassen)
4. Total Survey Error (TSE) in Cross-National Surveys (Vera Lomazzi)
5. Methods for Handling Mode Effects in Analyses of Mixed-Mode Survey Data (Liam Wright)
6. Introduction to Missing Data Imputation: Methods and Applications in R (Angelo Moretti)

We would like to thank all the attendees, lecturers and organizers with the hope to see you again in the future!