***Apologies for cross-posting*** Dear colleagues, We want to highlight a selection of GESIS courses about various topics on causal identification: Introduction to Methods of Causal Analysis, Directed Acyclic Graphs, Causal Inference Using Survey Data, Causal Mediation Analysis, and Propensity Score Matching. You will find a complete list of all GESIS Training courses online<https://training.gesis.org/?lang=en_US> and attached to this email. 05. - 07.07.2023 Einführung in die Methoden der modernen Kausalanalyse<https://bit.ly/ModerneKausalanalyse> (Mannheim) Michael Gebel 02. - 04.08.2023 Causal Inference with Directed Acyclic Graphs (DAGs)<https://bit.ly/GSS23_SCD> (Online) Paul Hünermund 07. - 11.08. 2023 Causal Inference Using Survey Data<https://bit.ly/GSS23_C3> (Cologne) Heinz Leitgöb, Tobias Wolbring 11. - 15.12. 2023 Causal Mediation Analysis<https://bit.ly/CausalMediation> (Online) Felix Thoemmes 20. - 21.02.2024 Propensity Score Matching: Computation and Balance Estimation for two and more groups in R<https://bit.ly/Propensity_Score_Matching> (Online) Julian Urban All the best, GESIS Training ------- July 05. - 07.07. Interactive Data Analysis with Shiny<https://bit.ly/IDA_Shiny> (Online) Jonas Lieth, Paul C. Bauer 05. - 07.07. Einführung in die Methoden der modernen Kausalanalyse<https://bit.ly/ModerneKausalanalyse> (Mannheim) Michael Gebel 17. - 19.07. Logistic Regression and Beyond: Modelling Categorical Dependent Variables<https://bit.ly/LogRegression> (Cologne) Sophie Suda August 02. - 04.08. Pretesting Survey Questions<https://bit.ly/GSS23_SCA> (Online) Cornelia Neuert, Timo Lenzner 02. - 04.08. Mixed-Mode Surveys<https://bit.ly/GSS23_SCB> (Online) Sven Stadtmüller, Henning Silber, Yannick Diehl, Peter Schmidt 02. - 04.08. Introduction to Stata for Data Management & Analysis<https://bit.ly/GSS23_SCC> (Online) Irina Bauer, Annika Stein 02. - 04.08. Causal Inference with Directed Acyclic Graphs (DAGs)<https://bit.ly/GSS23_SCD> (Online) Paul Hünermund 07. - 11.08. Designing, Implementing, and Analyzing Longitudinal Surveys<https://bit.ly/GSS23_C1> (Cologne) Tarek Al Baghal, Alexandru Cernat 07. - 11.08. Applied Systematic Review and Meta-Analysis<https://bit.ly/GSS23_C2> (Cologne) Jessica Daikeler, Sonila Dardha 07. - 11.08. Causal Inference Using Survey Data<https://bit.ly/GSS23_C3> (Cologne) Heinz Leitgöb, Tobias Wolbring 07. - 11.08. (Non-)Probability Samples in the Social Sciences<https://bit.ly/GSS23_C4> (Online) Carina Cornesse, Olga Maslovskaya 07. - 08.08. Qualitative Interviews - Theorie und Praxis<https://bit.ly/QualitativeInterviews> (Mannheim) Günter Mey, Paul S. Ruppel 10. - 11.08. Grounded-Theory-Methodologie<https://bit.ly/23-08-Grounded_Theory_Methodologie> (Mannheim) Günter Mey, Paul S. Ruppel 14. - 18.08. Advanced Survey Design<https://bit.ly/GSS23_C5> (Cologne) Bella Struminskaya, Angelo Moretti 14. - 18.08. Advanced Questionnaire Design<https://bit.ly/GSS23_C6> (Cologne) Marek Fuchs 14. - 18.08. Introduction to R for Data Analysis<https://bit.ly/GSS23_C7> (Cologne) Jan Schwalbach, Dennis Abel 14. - 18.08. Missing Data and Multiple Imputation<https://bit.ly/GSS23_C8> (Online) Florian Meinfelder, Angelina Hammon 21. - 25.08. Collecting and Analyzing Longitudinal Social Network Data<https://bit.ly/GSS23_C9> (Cologne) Lars Leszczensky, Sebastian Pink 21. - 25.08. Data Science Techniques for Survey Researchers<https://bit.ly/GSS23_C10> (Cologne) Anna-Carolina Haensch 29. - 31.08. Qualitative Netzwerkanalyse<https://bit.ly/23-08-QualitativeNetzwerkanalyse> (Cologne) Markus Gamper, Laura Behrmann 30.08. - 01.09. Mehrebenenanalyse in Stata<https://bit.ly/MehrebenenanalyseStata> (Cologne) Hermann Dülmer September 04. - 06.09. Introduction to Python<https://bit.ly/23-09-Intro_Python> (Online) Hannah Béchara, Paulina Garcia Corral 05. - 07.09. Introduction to R<https://bit.ly/23-09-Intro_R> (Online) Natalia Umansky, Christian Pipal 11. - 15.09. Introduction to Computational Social Science with R<https://bit.ly/IntroCSSwithR> (Mannheim) Aleksandra Urman, Max Pellert 11. - 15.09. Introduction to Computational Social Science with Python<https://bit.ly/IntroCSSwithPython> (Mannheim) Milena Tsvetkova, Patrick Gildersleve 11. - 15.09. Big Data and Computation for Social Data Science<https://bit.ly/BigDataComputation> (Mannheim) Akitaka Matsuo, David (Yen-Chieh) Liao 18. - 22.09. Automated Web Data Collection with R<https://bit.ly/WebDatawithR> (Mannheim) Allison Koh, Hauke Licht 18. - 22.09. Automated Web Data Collection with Python<http://bit.ly/WebDatawithPython> (Mannheim) Felix Soldner, Jun Sun, Leon Fröhling 18. - 22.09. Automated Image and Video Analysis with Python<http://bit.ly/ImageVideoAnalysis> (Mannheim) Andreu Casas, Felicia Loecherbach 25. - 29.09. Social Network Analysis with R<http://bit.ly/NetworkAnalysiswithR> (Mannheim) Michał Bojanowski 25. - 29.09. Introduction to Machine Learning for Text Analysis with Python<http://bit.ly/IntroTextAnalysis> (Mannheim) Damian Trilling, Anne Kroon 25. - 29.09. From Embeddings to Transformers: Advanced Text Analysis with Python<http://bit.ly/AdvancedTextAnalysis> (Mannheim) Hauke Licht, Jennifer Victoria Scurrell 28. - 29.09. Einführung in die qualitative Inhaltsanalyse<https://bit.ly/23-08-QualitativeInhaltsanalyse> (Cologne) Markus Janssen, Christoph Stamann October 30. - 31.10.<https://training.gesis.org/?site=pICS&pID=0xBB4D8590048C49EAA035610865B3354F> Fundamentals and Advanced Topics in Modeling Interaction Effects<https://bit.ly/ModelingInteractionEffects> (Mannheim) Janina Beiser-McGrath, Liam F. Beiser-McGrath November 06. - 08.11. Sequence Analysis in the Social Sciences<https://bit.ly/SequenceAnalysis> (Online) Marcel Raab, Emanuela Struffolino 13. - 14.11. Questionnaires for Cross-Cultural and Cross-National Surveys<https://bit.ly/QuestionnairesCCandCNSurveys> (Mannheim) Dorothée Behr, Cornelia Neuert, Lydia Repke 13. - 14.11. Power Analysis Through Simulation in R<https://bit.ly/PowAnalysis> (Online) Niklas Johannes 13. - 15.11. Synthetic Data: Generation and Evaluation<https://bit.ly/SynthData> (Online) Thom Volker 16. - 17.11. Workflows for Reproducible Research with R & Git<https://bit.ly/WfRRwRGit> (Online) Johannes Breuer, Bernd Weiß, Arnim Bleier 22. - 24.11. Introduction to Bayesian Statistics<https://bit.ly/IntroBayStat> (Online) Denis Cohen 28. - 30.11. Research Data Management and Open Science<https://bit.ly/23-11-RDM> (Online) Anja Perry, Sebastian Netscher 29.11. - 01.12.<https://training.gesis.org/?site=pICS&pID=0x18BDFB0927354262800D009C2BB8A371> Einführung in die Strukturgleichungsmodellierung<https://bit.ly/Strukturgleichungsmodellierung> (Cologne) Marie-Ann Sengewald December 06. - 08.12. Going Cross-Lingual: Computational Methods for Multilingual Text Analysis<https://bit.ly/MultilingualTextAnalysis> (Cologne) Hauke Licht, Fabienne Lind 07. - 15.12. Introduction to Event History Analysis<https://bit.ly/EventHis2023> (Online) Jan Skopek 11. - 15.12. Causal Mediation Analysis<https://bit.ly/CausalMediation> (Online) Felix Thoemmes 13. - 15.12. Introduction to Stata<https://bit.ly/23-12-Intro_Stata> (Online) Alexandra Asimov, Katrin Firl ** 2024 ** February 20. - 21.02. Propensity Score Matching: Computation and Balance Estimation for two and more groups in R<https://bit.ly/Propensity_Score_Matching> (Online) Julian Urban 21. - 23.02. Durchführung qualitativer Interviews<https://bit.ly/QualInterviews24> (Cologne) Nicole Bögelein, Katharina Leimbach March 20. - 22.03. Applied Multiverse Analysis<https://bit.ly/App-multiverse-analysis> (Online) Reinhard Schunck --- Dr. André Ernst [he / him] Scientific Coordinator of GESIS Workshops GESIS - Leibniz Institute for the Social Sciences