Sep 21, 2020 – Sep 25, 2020 |
Sep. 21-25, online — BITSS will hold its next Research Transparency and Reproducibility Training (RT2) online and sessions will take place 8–11:30 am PT (GMT-7) daily.
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 academic researchers from across the social sciences and will provide participants with opportunities for collaborative work and skills-building. Participants will be able to exchange feedback and receive support from instructors through daily online discussion forums. Following the training, BITSS will also facilitate RT2 “office hours,” where participants will be able to meet individually with instructors and receive guidance on their own research questions and ideas.
An agenda is available here. Sessions will focus on the following topics:
- Research ethics and Mertonian norms for transparency and reproducibility
- Improved specification through study pre-registration and pre-analysis plans
- Hands-on practice with version control using Git (GitHub or the Command Line)
- Dynamic documents with R, Python, or Stata
- Improved and ethical reproducibility thorough data management, de-identification, and sharing
- Appropriate use of statistics and interpretation of statistical evidence.
Confirmed faculty include (in alphabetical order): Daniel Benjamin (UCLA), Graeme Blair (UCLA), Luiza Cardoso De Andrade (the World Bank), Benjamin Daniels (Georgetown University), Tim Dennis (UCLA), Fernando Hoces de la Guardia (BITSS), Jennifer Sturdy (Millenium Challenge Corporation), Katherine Koziar (UC Riverside), Aleksandr Michuda (UC Davis), Edward Miguel (UC Berkeley and BITSS), Dena Plemmons (UC Riverside), Ben Sprung-Keyser (Harvard), Lars Vilhuber (Cornell University) — more coming soon!
RT2 is designed for researchers in the social and health sciences, with particular emphasis on economics, political science, psychology, sociology, 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 at least one of the following statistical analysis software: R, Python, or Stata.
Participants will be expected to actively participate in all of the sessions. We encourage applicants who will be able to attend and engage in all sessions.
Tuition for this RT2 is $300 for participants affiliated with academic and non-profit institutions, and $600 for participants affiliated with for-profit, governmental, and other types of institutions. The tuition fee covers five days of instruction, all training materials, and access to office hours with individual instructors. Selected applicants can submit payment via a secure online payment platform no later than September 14.
For up to 40 participants, BITSS will offer tuition fee waivers. Applicants should indicate in the application form that they would like to be considered for a tuition fee waiver and state how it would benefit them and their organization.
Submit an application on our online portal here. The application includes questions regarding (i) your motivation for participating in RT2 and (ii) how you expect your participation to contribute to scaling up education and training on research transparency and reproducibility.
Applications should also include a curriculum vitae or resume. Letters of reference are also accepted, though they are not required. Please submit these as attachments in the online application portal.
BITSS aims to select around 50 participants for this RT2 event.
BITSS staff will lead the selection process with oversight from the BITSS Faculty Director. Given that the number of applications for RT2 tends to exceed the number of available spaces, competitive selection will be based on the (i) quality of application materials and expected impact and (ii) balance across disciplines, gender, and institutions, while also taking into account our commitment to facilitate access to training for diverse and underserved populations.
To be considered for a tuition fee waiver, applications must be submitted no later than Sunday, 11:59 pm PT August 16, 2020. Notifications of acceptance for applicants requesting tuition fee waivers will be sent by August 21, 2020.
BITSS will consider applications for self-funded participants on a rolling basis through Sunday, 11:59 pm PT September 6, 2020. Applicants who apply but are not selected to receive a tuition fee waiver may ask that their application be considered for a paid spot. These requests will be granted if there are spots available and applications meet minimum criteria.
Reach out to BITSS Senior Program Associate Aleksandar Bogdanoski (email@example.com) with any questions about this event.