GESIS Summer School in Survey Methodology

The GESIS Summer School 2024 will be held place from 24 July to 16 August 2024 in Cologne, Germany and virtually. 

Join lecturers and participants from all over the world and from many different fields in meeting in person and online to take part in Europe's leading summer school in survey methodology, research design, and data collection. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis.

Our online course offers a virtual excursion into the world of multiple imputation, thus completing the program of week-long courses for this year.

During the 12 hours of our online short courses, you can learn the basics of Stata, discover more about questionnaires for cross-cultural surveys, or enhance your knowledge of mixed-mode surveys or DAGs. You are also welcome to join us in Cologne for a two-day introductory course on R.

We have been organizing a Summer School in Survey Methodology since 2012. Before the pandemic, all courses took place at GESIS in Cologne, Germany. In 2020, we added online learning opportunities to our program. Thus, lecturers and participants from all over the world and from many different fields can join us in Cologne or meet online to take part in Europe's leading summer school on survey methodology, research design, and data collection. 

Reasons to attend the Summer School in Survey Methodology

As a graduate or PhD student, post-doc, junior researcher, or survey professional, you will

• receive high quality training in state-of-the-art techniques and methods of survey research,
• update your methodological expertise in specific areas of survey methodology,
• obtain a broad overview of survey methods or delve more deeply into special interest topics in survey research,
• improve on essential skills in how to design, plan, conduct, and document all kinds of surveys,
• obtain a better understanding of the processes of data collection,
• learn how to analyze survey data properly or how to assess data quality,
• meet new people from different fields and from all over the world to network and discuss your research with.

Prerequisites

Each course has specific prerequisites, which will be detailed on the course websites. In addition, you are expected to:

• have a basic knowledge of empirical research methods,
• have a good command of English.