Experimental data in social sciences and humanities: Meta-analysis methods

Données expérimentales en SHS : méthodes de méta-analyse (DESMA)

8-10 October 2025

Program

Preliminary program:

The program includes theoretical courses and practical sessions in the form of mini-projects (5 dedicated time slots). The mini-project sessions will be supervised by a team of facilitators including the instructors mentioned below.

Examples of R packages that will be used include bayesmeta, brms, meta, metadat, and metafor.

 

October 8

Morning:

- Introduction to the school & icebreaker activity

- Systematic literature review: Protocol, methods and reporting

Main instructor: Sho Tsuji, CNRS

 Afternoon:

- Meta-analysis: Introduction, effect sizes, bias, robustness, and interpretation of results

Main instructor: Theodoros Evrenoglou, University of Freiburg

 

October 9

Morning:

- Mini-project (Slots 1-2)

Afternoon:

- Introduction to Bayesian statistics and Bayesian meta-analysis

Main instructor: Christian Röver, University Medical Center Göttingen

Evening:

Special visit to the "Le Fresnoy": More info soon

 

October 10

Morning:

Mini-project (Slots 3-4)

Afternoon:

- Mini-project (Slot 5)

- Other key topics: Open science, meta-analysis publication standards, etc.

Main instructor: Sho Tsuji, CNRS

- Conclusion

 

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