Research Transparency and Reproducibility Training (RT2) 2023

RT2 provides participants with an overview of tools and practices for transparent and reproducible social science research. The program is developed and delivered by leading researchers from across the social sciences and will provide participants with opportunities for collaborative work and skills-building. Participants are able to exchange feedback and receive support from instructors through daily online forums. Following the training, BITSS facilitated office hours where participants are able to meet with instructors and receive guidance on their research questions and ideas.

Program

An agenda is currently being developed. The program was be distributed over three days, covering the following topics:

• Research ethics and Mertonian norms for transparency and reproducibility
• Scientific misconduct and researcher degrees of freedom
• Improved specification through study pre-registration and pre-analysis plans
• Computational reproducibility and approaches to replication
• Techniques for reproducible meta-analysis
• Hands-on practice with version control using Git (GitHub or the Command Line)
• Dynamic documents with R or Stata
• Data management and de-identification for data sharing
• Appropriate use of statistics and interpretation of statistical evidence
• Applications to behavioral and social science research, with a focus on aging and health disparities research:
  • Power calculations for aging research
  • Using the Gateway to Global Aging Data
  • How to access Medicare data
  • What counts as a clinical trial? Tips for economists entering into the health research space.
  • and more!

You can learn more about the RT2 curriculum and find materials from past RT2 events here.

Eligibility

RT2 is designed for researchers in the social and health sciences, with particular emphasis on economics, political science, psychology, and public health. Participants are typically (i) current Masters and PhD students, (ii) postdocs, (iii) junior faculty, (iv) research staff, (v) librarians and data stewards, and (vi) journal editors, funders, and research managers curious about the implications of transparency and reproducibility for their work.

RT2 curriculum is most applicable to research that uses quantitative or mixed methods. Applicants should have proficiency in R or Stata.

Application

The deadline for applications is rolling. Submit an application here. Applications should also include a Curriculum Vitae or Resume. Letters of Reference are also accepted, though they are not required.

Contact

Contact Grace Han with questions about RT2 2023.