Transparency Practices for Empirical Social Science Research
Over the past years, an inspiring number of bottom-up innovations across social science disciplines have sought to advance the reliability, reproducibility, and validity of empirical social studies, realigning scholarly incentives with scholarly values. Examples include systematic disclosure of methods and results, registration and pre-analysis plans, and open data and materials. Meanwhile, multiple organizations have been developing tools to make it easier to archive and share research design, plans and data.
This workshop will inform participants about the latest trends in the shift towards increased transparency, providing an overview of the different tools and techniques that are available and appropriate for social science research. Participants will be chosen through a competitive selection process, and will be expected to devote substantial time to preparatory work in advance of the institute. Each attendee will finish the weeklong program with a specific work product based on his/her own research interests.
Program
Instructors
Thad Dunning (UC Berkleley), Edward Miguel (UC Berkeley), Katherine Casey (Stanford University), Scott Desposato, Kevin Esterling, Leif Nelson, Uri Simonsohn, Maya Petersen, Solomon Hsiang, Richard Ball, Merce Crosas
Participants
Applications for this workshop are now closed.
