Transparency and Reproducibility Methods for Social Science Research
Research norms are changing faster than ever before. Repeated cases of scientific dishonesty, mistakes in data analysis, irreproducible findings, and publication bias in the literature, have prompted an impressive number of methodological, statistical, and technological innovations. There is a growing quantity of services and resources to archive and share data, report methods used to generate results, pre-register study plans, enable reproducibility of findings, as well as software tools to support transparent and collaborative workflows.
Sponsored by the Berkeley Initiative for Transparency in the Social Sciences, this workshop will provide participants with an overview of cutting-edge mechanisms for open and rigorous social science research. The curriculum has been revamped and condensed compared to the 2014 edition, with sharper and more intense sessions, taught by academic leaders in the transparency movement. There will also be more space for collaborative work and hands-on skill building.
Students can expect to finish the program with a thorough overview and understanding of best practices for open, reproducible research, allowing them to remain in the vanguard of new scientific frontiers. They are encouraged to bring existing research questions and ideas based on their own interests, and seek support and feedback from instructors and other attendees.
This workshop is generously supported by the Alfred P. Sloan Foundation, the Laura and John Arnold Foundation, and the Center for Open Science.
Program
Instructors
Edward Miguel (UC Berkeley), Katherine Casey (Stanford University), Garrett Christensen, Scott Desposato, Solomon Hsiang, Leif Nelson, Maya Petersen
Participants
Applications must be submitted by April 5, 2015.
