***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)https://t1p.de/GSS25-SCD (Online) * 04. - 08.08. Causal Inference in the Social Scienceshttps://t1p.de/GSS25-C4 (Cologne) * 22. - 26.09. Causal Machine Learninghttps://t1p.de/CausalML (Online) * 09. - 10.10. Causal Inference with Instrumental Variables and Regression Discontinuity Designs https://t1p.de/caus-inf-2025 (Online) * 04. - 05.12. & 11. - 12.12. Introduction to Methods of Causal Inferencehttps://t1p.de/meth-caus-inf-2025 (Online) * 27. - 28.01. Causal Models for Qualitative and Mixed Methods Researchhttps://t1p.de/qual_mix_meth_26 (Cologne) * 03. - 04.02. Foundations and Advances in Difference-in-Differenceshttps://t1p.de/dif_in_dif_26 (Online)

For more details or to register, please visit our websitehttps://training.gesis.org/?lang=en_US or email alisa.remizova@gesis.orgmailto:alisa.remizova@gesis.org. We would also appreciate your help in spreading the word about this announcement.

Causally Yours, GESIS Training Team

--- Alisa Remizova Postdoc & Scientific Coordinator Department KEO | Team Training

[cid:image002.jpg@01DBEC3F.994DA920]http://www.gesis.org/ Unter Sachsenhausen 6-8 | 50667 Cologne +49 (0) 221 47694-475 alisa.remizova@gesis.orgmailto:alisa.remizova@gesis.org www.gesis.orghttps://www.gesis.org/

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