If you are interested in survey design and implementation, you may explore factorial survey design, advanced questionnaire design, or advanced survey design. You can also learn about bots used in web studies and discover AI tools that support different stages of the survey research process. For those interested in data analysis techniques, we offer courses on causal inference, latent variable modeling, and data science techniques for analyzing both survey and big data. Finally, you can also learn about survey sampling and weighting. 

In addition to our one-week courses, we offer two- to three-day short courses. This year, you can discover methods for pretesting survey questions as well as for aggregating evidence over multiple studies, and you can enhance your knowledge of how to use DAGs for causal inference. If you are looking to expand your software skills, you can choose between our courses on introduction to Stata or R. 

Our Summer School offers a unique opportunity to learn from leading experts in the field, and to network with peers who share your interests. Join us for a stimulating and engaging experience that will take your skills and knowledge to the next level. 

Since 2012, we have been organizing Europe’s leading Summer School covering survey methodology, research design, and data collection and analysis. Initially held exclusively at GESIS in Cologne, Germany, we expanded to online options in 2020. This setup brings together lecturers and participants from all over the world and many different fields, fostering a collaborative, global learning environment.

Reasons to attend 

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

• receive high quality training in state-of-the-art techniques and methods of survey research.
• obtain a comprehensive overview of different survey methods or delve deeply into niche topics of interest to you.
• acquire essential skills in how to design, plan, conduct, and document all kinds of surveys.
• gain insights into survey data collection processes.
• learn techniques for analyzing survey data and assessing data quality.
• network with peers from different fields and from all over the world to discuss research and share ideas.

We are happy to assist you!

Should you be unsure which course is the right one for you, please do not hesitate to contact us.

Prerequisites

Each course has specific prerequisites, which will be detailed on the course webpages.

In addition, you are expected to:

have a good command of English.

have a basic knowledge of empirical research methods.