***Apologies for cross-posting***

Dear colleagues,

Are you curious about causality but unsure where to start or how to move beyond the basics? GESIS offers a series of courses on contemporary causal inference methods, tailored to researchers at various stages of expertise:

30.07 - 01.08. Causal Inference with Directed Acyclic Graphs (DAGs) (Online)
04. - 08.08. Causal Inference in the Social Sciences (Cologne)
22. - 26.09. Causal Machine Learning (Online)
09. - 10.10. Causal Inference with Instrumental Variables and Regression Discontinuity Designs (Online)
04. - 05.12. & 11. - 12.12. Introduction to Methods of Causal Inference (Online)
27. - 28.01. Causal Models for Qualitative and Mixed Methods Research (Cologne)
03. - 04.02. Foundations and Advances in Difference-in-Differences (Online)

For more details or to register, please visit our website or email alisa.remizova@gesis.org. We would also appreciate your help in spreading the word about this announcement.

Causally Yours,

GESIS Training Team

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Alisa Remizova

Postdoc & Scientific Coordinator

Department KEO | Team Training