Tools for Research Transparency: a Preview of Upcoming BITSS Training

By Garret Christensen (BITSS) What are the tools you use to make your research more transparent and reproducible? A lot of my time at BITSS has been spent working on a manual of best practices, and that has required me to familiarize myself with computing tools and resources that make transparent work easier.…

Teaching Integrity in Empirical Research

Richard Ball (Economics Professor at Haverford College and presenter at the 2014 BITSS Summer Institute) and Norm Medeiros (Associate Librarian at Haverford College) in a recent interview appearing on  the Library of Congress based blog The Signal, discussed Project TIER (Teaching Integrity in Empirical Research) and their experience educating students how to…

Data Science Meets Social Science (Video)

The video from a recent BITSS roundtable entitled “Data Science Meets Social Science” is now available online. Organized in partnership with the UC Berkeley D-Lab, the event brought together leading social scientists and Silicon Valley professionals to discuss pathways of collaboration between the two different fields, and their increasing impact on society in the…

Tonight! Data Science Meets Social Science

Tonight in Berkeley! June 5, 2014 6:00pm — 7:30pm. David Brower Center (Kinzie Room), 2150 Allston Way. All across the social sciences we can see a convergence around the ideals of openness and reproducibility. Over the past years, the injection of ways of thinking and working from scientific computing into social science research has helped…

New book: Implementing Reproducible Research

New book from Victoria Stodden, Friedrich Leisch, and Roger D. Peng: “Implementing Reproducible Research“. In many of today’s research fields, including biomedicine, computational tools are increasingly being used so that the results can be reproduced. Researchers are now encouraged to incorporate software, data, and code in their academic papers so that others can…