BITSS: Research Transparency
There is growing interest in research transparency and reproducibility across the social sciences. This workshop is a crash course on the problems of publication bias, inability to replicate research, and specification searching (or p-hacking, among other names) that have heretofore caused researchers problems. We will cover recent methodological progress in this area, including study registration, pre-analysis plans, disclosure standards, and open sharing of data and materials, drawing on experiences in economics, political science, and psychology, as well as other social sciences. We also engage hands-on with workflow-related software developments that help a researcher make their work more reproducible, particularly version control and dynamic documents, which can accurately track all changes made to code and make one's entire analysis reproducible with a single click.Day 1
- Introduction to Research Transparency
- The Problems: Publication Bias, Specification Searching/P-Hacking
- Preregistration and Pre-Analysis Plans
- Data Sharing and Replication
- Reproducible Workflow
- Organizing your work with the Open Science Framework
- Version control with Git & GitHub
- Dynamic Documents in Stata, R, and LaTeX
Application: Participants will be chosen through a competitive selection process. To apply, click on the "Registration" tab at the top of this page, provide your information, and select the course. Applicants must upload the following documentation:
- Curriculum vita or resume;
- Cover letter outlining your interest in the workshop, how you heard about it, and what you hope to get out of the program;
- A letter of reference (optional).
Deadline Extended: The deadline for submitting applications has been extended to May 15, 2016. Accepted participants will be notified within approximately two weeks.
Fee: There are no tuition fees for this workshop.