[Eurobarometer] Registration is open -- GESIS Spring Seminar 2024

[Mauk, Marlene]

***Apologies for cross-posting***

Dear colleagues,

We are excited to announce the program of the GESIS Spring Seminar 2024!

The Spring Seminar offers high-quality training in state-of-the-art techniques in quantitative data analysis taught by leading experts in the field. It is designed for advanced graduate or PhD students, post-docs, as well as junior and senior researchers. In 2024, all courses will deal with "Recent Developments in Longitudinal Data Analysis" in the social sciences and beyond.

Extensive hands-on exercises and tutorials complement lectures in each course. The Spring Seminar will take place onsite at GESIS Cologne, Germany, from 26 February to 15 March 2024.

For registration and detailed course descriptions, please visit https://bit.ly/SpringSeminar24.

GESIS Spring Seminar 2024 Program:

Week 1 (26 Feb – 01 Mar)
Modern Longitudinal Analysis Using R<https://bit.ly/MLA_Spring24>
Alexandru Cernat, Nick Shryane

Week 2 (04 – 08 Mar)
Recent Developments in Difference-in Differences Estimation<https://bit.ly/Diff-in-Diff_Spring24>
Scott Cunningham

Week 3 (11 – 15 Mar)
Causal Machine Learning for Cross-sectional and Panel Data<https://bit.ly/ML_cross-sec_panel_Spring24>
Martin Spindler, Jannis Kück

Courses must be booked separately – whether you wish to attend one, two, or all three. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. Thanks to our cooperation with the Cologne Graduate School in Management, Economics, and Social Sciences at the University of Cologne, enrolled doctoral students can obtain three ECTS credit points<https://www.gesis.org/en/gesis-training/what-we-offer/spring-seminar-cutting-edge-methods/ects-credits> per one-week course.

For detailed information on the Spring Seminar 2024, please visit www.gesis.org/springseminar<http://www.gesis.org/springseminar>.

For workshops (onsite or online) on related and other social science research methods, please visit www.gesis.org/workshops<http://www.gesis.org/workshops>.

We would appreciate you forwarding this announcement to other potentially interested parties.

Thank you, and best wishes,
Your GESIS Training team

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GESIS – Leibniz Institute for the Social Sciences

email: training at gesis.org<mailto:training at gesis.org>
web: www.gesis.org/training<http://www.gesis.org/training>
X (formerly twitter): https://twitter.com/gesistraining
facebook: https://www.facebook.com/GESISTraining




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