***Apologies for cross-posting***

Dear colleagues,

I’d like to draw your attention to the upcoming GESIS Workshops, taking place online, in Cologne or in Mannheim, mostly in the areas of quantitative methods and computational social science. The course program for the remainder of 2023 includes – amongst others – courses on interaction effects, power analysis, synthetic data, and multilingual text analysis before we kick off 2024 with workshops on propensity score matching, machine learning, computational text analysis, sensor data, and more.

For more information and registration see the full list below or visit us at https://training.gesis.org/.

30. - 31.10. Fundamentals and Advanced Topics in Modeling Interaction Effects (Mannheim)

Janina Beiser-McGrath, Liam F. Beiser-McGrath

06. - 08.11. Sequence Analysis in the Social Sciences (Online)

Marcel Raab, Emanuela Struffolino

13. - 14.11. Power Analysis Through Simulation in R (Online)

Niklas Johannes

13. - 15.11. Synthetic Data: Generation and Evaluation (Online)

Thom Volker

16. - 17.11. Workflows for Reproducible Research with R & Git (Online)

Johannes Breuer, Bernd Weiß, Arnim Bleier

22. - 24.11. Introduction to Bayesian Statistics (Online)

Denis Cohen

28. - 30.11. Research Data Management and Open Science (Online)

Anja Perry, Sebastian Netscher

29.11. - 01.12. Einführung in die Strukturgleichungsmodellierung (Cologne)

Marie-Ann Sengewald

06. - 08.12. Going Cross-Lingual: Computational Methods for Multilingual Text Analysis (Cologne)

Hauke Licht, Fabienne Lind

07. - 08.12 & 14. - 15.12. Introduction to Event History Analysis (Online)

Jan Skopek

11. - 15.12. Causal Mediation Analysis (Online)                       

Felix Thoemmes

13. - 15.12. Introduction to Stata (Online)

Alexandra Asimov, Katrin Firl

16. - 18.01. Introduction to R for Quantitative Social Science (Online)

Ranjit Konrad Singh, Björn Rohr

18. - 19.01. Data Quality Assessment for Online Survey Responses: Be Careful of the Careless (Mannheim)

Nivedita Bhaktha, Thomas Knopf

29.01. - 01.02. Decomposition Methods in the Social Sciences (Cologne)

Johannes Giesecke, Ben Jann

14. - 15.02. Automatic Sampling and Analysis of YouTube Data (Online)

Johannes Breuer, Rohangis Mohseni, Annika Deubel

20. - 21.02. Propensity Score Matching: Computation and Balance Estimation for two and more groups in R (Online)

Julian Urban

20. - 23.02. Applied Machine Learning with R (Online)

Paul Pauer

21. - 23.02. Durchführung qualitativer Interviews (Cologne)

Nicole Bögelein, Katharina Leimbach

26. - 27.02. Grounded-Theory-Methodologie (Online)

Günter Mey, Paul Sebastian Ruppel

13. - 15.03. Introduction to Computational Text Analysis with R (Online)

Lea Kaftan, Jan Schwalbach

20. - 22.03. Applied Multiverse Analysis (Online)

Reinhard Schunck

21. - 22.03. Using Smartphone Sensors, Apps, and Wearables (Online)

Bella Struminskaya, Florian Keusch

24. - 26.04. Expert*inneninterviews (Cologne)

Laura Behrmann, Nicole Bögelein

14. - 17.05. Applied Data Visualization with R (Online)

Paul Bauer

19. - 21.06. Grundlagen und aktuelle Debatten der Regressionsanalyse (Mannheim)

Michael Gebel, Stefanie Heyne

01. - 03.07. Geodata and Spatial Regression Analysis (Mannheim)

Tobias Rüttenauer

If you have any questions concerning the course program, feel free to get in touch with me.

Best wishes,
Verena

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Verena Kunz (she/her)

Scientific Coordinator

Fall Seminar in Computational Social Science and

Workshops

GESIS – Leibniz-Insitute for the Social Sciences

https://gesis.org | https://training.gesis.org/

@gesistraining       | facebook.com/GESISTraining/