Join us on Wednesday 26th of April for a full-day, hands-on workshop on open and reproducible research practices. We will discuss the increasing relevance of these practices in the social sciences, including their endorsement by researchers, journal editors, and funding agencies. We will then learn strategies and tools to manage research workflow, preparing and submitting pre-registrations and pre-analysis plans, and effectively sharing material with collaborators and the scientific community.
The following topics will be covered:
- Understanding the call for more open and reproducible research practices
- publication bias
- solutions: registrations, pre-analysis plans, and reproducible workflow
- Detailed hands-on tutorial with AEA registry and Open Science Framework
- What’s in a pre-registration/pre-analysis plan and where to submit it
- Dynamic documents in Stata and R
- Overview of version control with Git/Github
|10:00 – 11:15am||Introduction
Overview of problems in quantitative social science and economics research including publication bias and p-hacking, as well as emerging solutions, such as study registration, pre-analysis plans, and reproducible workflows.
|11:15 – 11:30am||Break|
|11:30am – 12:30pm||Registration and Pre-Analysis Plans
Hands-on tutorial with the AEA Registry and Open Science Framework (OSF).
|12:30 – 1:30pm||Lunch|
|1:30 – 3:30pm||Dynamic documents in Stata and R Studio.|
|3:30 – 3:45pm||Break|
|3:45 – 5:30pm||Overview of version control with Git/Github.|
Workshop materials, including software installation instructions, can be found on Github: http://github.com/bitss/imebess2017.
Garret Christensen is research fellow with the Berkeley Initiative for Transparency in the Social Sciences (BITSS), a program of the Center for Effective Global Action. He received his PhD in Economics from UC Berkeley in 2011 and has since conducted research for the WASH Benefits public health randomized trial for Innovations for Poverty Action and Emory University and has taught economics at Swarthmore College. He is interested in research transparency and reproducibility and questions of causal inference in labor and development economics, particularly with regard to child health and education programs in both developed and developing country settings. He has also run more than 50 ultramarathons and walked from border to border across the entire United States four complete times.