Aug 25, 2021 – Sep 3, 2021 |
Aug. 23-Sep.3, 2021 — BITSS will hold its next Research Transparency and Reproducibility Training (RT2) on 8/25, 8/27, 9/1, and 9/3. RT2 will be hosted online and sessions will take place 8–11:30 am PT (GMT-7) on the days noted.
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 will be able to exchange feedback and receive support from instructors through daily online forums. Following the training, BITSS will also facilitate office hours where participants will be able to meet with instructors and receive guidance on their research questions and ideas.
An agenda is available here. The program will be distributed over four days, covering the following topics:
- Research ethics and Mertonian norms for transparency and reproducibility
- Improved specification through study pre-registration and pre-analysis plans
- Appropriate use of statistics and interpretation of statistical evidence
- Hands-on practice with version control using Git (GitHub or the Command Line)
- Dynamic documents with R or Stata
- Data sharing and management practices for reproducibility.
You can learn more about the RT2 curriculum and find materials from past RT2 events here.
Faculty include (in alphabetical order): Alexander Coppock (Yale University), Valentin Danchev (University of Essex), Benjamin Daniels (Georgetown), Tim Dennis (UCLA), Luiza Cardoso de Andrade (The World Bank), Fernando Hoces de la Guardia (BITSS), Ciera Martinez (Berkeley Institute for Data Science), Edward Miguel (UC Berkeley and CEGA/BITSS), Cecilia Hyunjung Mo (UC Berkeley), Leif Nelson (UC Berkeley), Rachael Samberg (UC Berkeley Libraries), Lars Vilhuber (Cornell University), and Timothy Vollmer (UC Berkeley Libraries).
RT2 is designed for researchers in the social and health sciences, with particular emphasis on economics, political science, psychology, public health, and sociology. Participants are typically (i) current Masters or 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.
For up to 40 participants, BITSS offers tuition fee waivers. Applicants should indicate in the application form that they would like to be considered for tuition fee waivers 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 usually exceeds the number of available slots, 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.
The deadline for applicants requesting tuition fee waivers has now passed. BITSS will consider applications from self-funded applicants on a rolling basis through Sunday, 11:59 pm PT, August 15. Selected applicants can submit payment via a secure online payment platform no later than August 18.
If you apply but are not selected to receive a tuition fee waiver, you may ask that your application be considered for a paid spot. These requests will be granted if there are spots available and applications meets minimum criteria.
Reach out to Aleksandar Bogdanoski (email@example.com) with any questions about this event.