Despite the recent increase in the amount and complexity of data available, the social sciences are nonetheless facing a reproducibility crisis as previous findings fail to replicate. Both of these trends highlight the need for improving reproducibility and collaboration in the social sciences, an increasingly important topic that is rarely covered in traditional academic training.

Please join as we conduct a new PDHP workshop titled “Tools For Reproducible Research,” presented by Alexandru Cernat (associate professor of social statistics, University of Manchester). This half-day workshop will cover the main concepts of reproducible research as well as best practices in the field (including meta-analyses, pre-registration, and sensitivity analysis), while mixing both lecture and practical application. Attendees will also get hands-on practice with state-of-the-art tools of reproducible research, such as research project management using R/RStudio and version control using Github.

Topics covered:
-Challenges to social research such as publication bias and specification bias
-Solutions to the reproducibility crisis: meta-analyses, pre-registration, and sensitivity analysis
-Tools for better research workflows: project management (via Rprojects and the renv package), version control via Github, and dynamic documents (via git, usethis and Rmarkdown)

As always, this workshop is free of cost and open to the public. Please RSVP for this event: https://pdhp.isr.umich.edu/workshops/