Scientific computation is emerging as absolutely central to the scientific endeavor, but is having profound effects on the scientific method. The prevalence of very relaxed practices is leading to a credibility crisis. Reproducible computational research, in which all details of computations—code and data—are made conveniently available to others, is a necessary response to this crisis.
In this talk, Victoria Stodden argues reproducibility is the key issue underlying the imperative of open data and code in computational science. Stodden describes approaches currently underway to facilitate reproducible computational research, and outline how these efforts dovetail with the Open Science Movement.
Victoria Stodden is a Postdoctoral Associate in Law and Kauffman Fellow in Law at the Information Society Project at Yale Law School. She is a Fellow at Science Commons, and was formerly a Postdoctoral Fellow at M.I.T. Sloan School of Management, and a Research Fellow at the Berkman Center for Internet and Society at Harvard Law School. Dr. Stodden's work focuses on open innovation in scientific research and developing practical methods to facilitate sharing of scientific knowledge. She obtained her Ph.D in statistics from Stanford University, then completed her M.L.S. from Stanford Law School while teaching Empirical Legal Analysis and Statistical Inference as a Lecturer in Law.