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May 2022 update

The below event has already occurred. In case you missed it, you can view the slide set for the presentation on the GESIS website, here:



Introducing the Comparative Study of Electoral Systems (CSES) project: Making Electoral Research Global and Comparative


This talk provides an overview of the Comparative Study of Electoral Systems (CSES) project and showcases how the CSES makes electoral research global and comparative. The presentation introduces audiences to the CSES suite of products and the CSES Secretariat, the administrative and data hub of the project, which GESIS co-hosts. The talk explores how the CSES questionnaire is designed and implemented in over 40-polities and highlights the wide offering of district and macro level data that CSES boasts. The presentation also discusses harmonization and data quality controls the CSES adopts, and importantly, highlights the research opportunities and possibilities available to users of CSES, with some focus devoted to users especially interested in German data.

April 12, 2022

Do you use Comparative Study of Electoral Systems (CSES) data and want to understand better how the project collects and prepares its datasets? Are you a new CSES collaborator? Do you want to learn more about how CSES could benefit your research?

We invite you to attend a free, virtual (online) presentation by Stephen Quinlan and Klara Dentler of the CSES Secretariat. The presentation is “Introducing the Comparative Study of Electoral Systems (CSES) Project: Making Electoral Research Global and Comparative.”

The talk will be held on Wednesday, May 4, 2022, for one hour starting at 1:00 pm CEST (Germany) time. You may learn more about the event and register to attend it at the following link. On that page, navigate to the CSES session and expand the description for the event. Once you have registered for the event, you will receive the Zoom link to use in joining the session.

The talk will be presented in English and hosted as part of a “Meet the Experts” series hosted by the department of Data and Research on Society at the GESIS – Leibniz Institute for the Social Sciences.

We hope that you can join us!