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Research Transparency and Reproducibility Training (RT2) in Netherlands

The Berkeley Initiative for Transparency in the Social Sciences (BITSS) invites applications for the Research Transparency and Reproducibility Training (RT2) in Amsterdam, the Netherlands, in April 4-6, 2018. RT2 provides participants with an overview of tools and best practices for transparent and reproducible social science research. The curriculum is developed and delivered by academic leaders in the transparency movement, and there will be space for collaborative work and hands-on skill building. Participants are encouraged to bring existing research questions and ideas based on their own interests to seek support and feedback from instructors and other attendees.




  • Participants can expect to finish the program with a thorough overview and understanding of best practices for open, reproducible research, allowing them to remain in the vanguard of new scientific frontiers.
  • Formerly known as the Summer Institute, RT2 includes more hands-on sessions incorporating new tools to facilitate research transparency. In addition to interactive sessions, participants will also be provided a Reading Packet prior to their arrival.
  • Read about our most recent RT2 events in the from the official link.
  • Recent faculty have included: Edward Miguel (UC Berkeley), Marjan Bakker (Tilburg University), Erica Baranski (UC Riverside), Dan Benjamin (USC), Garret Christensen (BITSS, BIDS), Harrison Dekker(University of Rhode Island), Sean Grant (Rand Corporation), Fernando Hoces de la Guardia (BITSS), Nicole Janz (University of Nottingham), Thomas Kluyver (University of Southampton), Thomas Leeper (LSE), Rachael Meager (LSE), Don Moore (UC Berkeley), Danae Roumis (Social Impact), Courtney Soderberg(Center for Open Science), Arnaud Vaganay (Meta-Lab), Robbie Van Aert (Tilburg University), Eva Vivalt(Australian National University, AidGrade), Eric-Jan Wagenmakers (University of Amsterdam), and Kaitlyn Werner (Carleton University).


  • RT2 is designed for researchers from across the social sciences, with particular emphasis on economics, political science, and psychology.
  • Ideal candidates include:
    • PhD and Masters students
    • Postdocs
    • Junior faculty
    • Research staff from organizations interested in using these methods
    • Journal editors or research funders curious about the implications for their work.
  • Diversity in terms of background and academic discipline is encouraged.
  • Participants with experience using R or Stata are likely to get more out of this training than those without.
Eligible Regions: Open for all.