CRRESS’ ninth session takes place at the Canadian Economics Association online meeting, "Reproducibility, confidentiality, and open data mandates." We will be joined this month by Kimberly McGrail (UBC), S. Martin Taylor (McMaster) and Matthew Lucas (SSHRC) on our panel. Marie Connolly (UQAM) will moderate the session.

The ninth session of CRRESS, The Conference on Reproducibility and Replicability in Economics and the Social Sciences, will be held on May 30, 2023 at 10:30 Central Time (11:30 AM ET). *Note the unusual time!*

Register to join the session on Zoom. Registration gives access to the whole CEA Conference. There is a cost to register ranging from CAN $75-210.

Many granting agencies have adopted open data mandates. What is the interplay between reproducibility and those mandates? How can researchers be supported to meet those mandates, both in general, and specifically when data are confidential. At first glance, confidentiality and open data seem irreconcilable, but could we find practices that both respect confidentiality and provide enough information and transparency to foster reproducibility? *NOTE: Session is part of the annual CEA conference, online day. A (free) recording will be made available after the conference.*

The Conference on Reproducibility and Replicability in Economics and the Social Sciences (CRRESS) is a monthly series of virtual and in-person panels on the topics of reproducibility, replicability, and transparency in the social sciences. Each month, a panel of experts will discuss a particular topic with relevance to the overall theme of reproducibility and transparency. We invite anyone with an interest in social science research to attend. 

Previous CRRESS Sessions are available on YouTube. We invite you to view the playlist on the Labor Dynamics Institute channel.

CRRESS is led by Lars Vilhuber and Aleksandr Michuda, Cornell University, who organize the panels together with Ian Schmutte (UGA) and Marie Connolly (UQAM). Funding by the National Science Foundation is gratefully acknowledged. Participation is free, but registration is required. Learn more at https://labordynamicsinstitute.github.io/crress/.