The 2024-25 Annual Report is out!

CAnD3 Replication Games 2026

June 8, 2026

The Replication Games is an all-day hands-on, and collaborative research event focused on reproducing published scientific studies. Participants will work in small teams to computationally reproduce a paper and investigate whether its findings hold through robustness checks and alternative analyses. Anyone interested in research transparency, causal inference, or empirical methods in economics, political science, or psychology is welcome to participate.

During the event, teams will spend an intensive day working through an article’s replication package, reproducing its results, and designing extensions or robustness tests. In the weeks following the Games, participants will continue refining their report for submission, with opportunities for feedback and potential publication.

The Replication Games is co-hosted by CAnD3 and organized by the Institute for Replication (I4R), which coordinates large-scale collaborative replication efforts across disciplines and supports teams through preparation, execution, and follow-up stages. CAnD3 is hosted at McGill University and supported in part by funding from the Social Sciences and Humanities Research Council of Canada (SSHRC).

For more information about the workshop, please contact cand3 [at] mcgill.ca.


Prerequisites 

Basic familiarity with statistics or empirical research is recommended, but not required. To ensure teams are well-prepared, participants will review materials and coordinate with their assigned group ahead of the event.

Key preparation dates:

  • Registration closes: Friday, May 8

  • Pre-Games Meeting (virtual)*: Friday, May 15

  • Team assignment released: Friday, May 15

  • Teams’ paper selection deadline: Friday, May 22

*Attendance at the Pre-Games Meeting and participation in the preparation steps are required so that all participants can arrive ready to reproduce and analyze their study.


Location

The Replication Games will be a hybrid event held in-person at McGill University and virtually on zoom.

 

 
1 Start 2 Complete
Never UsedBeginnerIntermediateAdvanced
Python *
R *
Stata *
Matlab *
Examples include: labour economics, health economics, comparative politics, American politics, applied statistics, etc.
Please note that teams will be assigned and we will do our best to take preferences into consideration but it might not always be possible.
Back to top