CRRESS invites you to join our December webinar “Reproducibility and confidential or proprietary data: can it be done?“. Paulo Guimarães (Banco de Portugal, BPLIM), John Horton (MIT), Lars Vilhuber (Cornell University) compose the panel. Aleksandr Michuda (Cornell University) will moderate the session.

The fourth panel of CRRESS, The Conference on Reproducibility and Replicability in Economics and the Social Sciences, will be held on December 13, 2022. Exceptionally, we begin at 12:15 PM Eastern Time, earlier than other series sessions.

Register to join the session on Zoom.

What happens to reproducibility when data are confidential or proprietary? Many journals can only ask that detailed access procedures be provided in a ReadMe file, but what mechanisms could be used to conduct computational reproducibility checks on such data? Should authors temporarily share their data with the journal for the purposes of reproducibility verification, even if they are not part of the public data replication package? Is it feasible to use a network of “insiders” to run code provided as part of a data replication package to assess reproducibility? Could a “certified run” be used?

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. 

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/.