Victoria is a Postdoctoral Associate in Law and a Kauffman Fellow in Law at the Information Society Project at Yale Law School. After completing my PhD in statistics, I obtained a Master's in Legal Studies in 2007 from Stanford Law School where I created a new licensing structure for computational research. My paper proposing this Intellectual Property framework, called the Reproducible Research Standard, won the Kaltura Writing Competition, given in connection with the Third Conference on Access to Knowledge (A2K3) in 2008.
I completed my PhD in statistics at Stanford University in 2006 with advisor David Donoho. My thesis evaluated regression techniques for cases where there are many more variables than observations, addressing a key consequence of the modern data deluge. A component of my dissertation was the creation and release of SparseLab, a collaborative platform for distributing code and data underlying published papers that focus on sparse solutions to underdetermined systems of equations. My current research focuses on reproducibility of computational results, and includes understanding factors underlying code and data sharing among researchers, how pervasive and large-scale computation is changing our practice of the scientific method, and the role of legal framing for scientific openness and advancement.
I am co-chairing a working group on Communities and Virtual Organizations in the NSF's Office of Cyberinfrastructure Task Force on Grand Challenge Communities. I am a Science Commons fellow, a member of the Sigma Xi scientific research society, and the AAAS.
I've previously been a postdoc with Eric von Hippel's Innovation and Entrepreneurship Group at MIT's Sloan School of Management, and a research fellow at the Berkman Center at Harvard Law School. I've taught quantitative methods as a Lecturer in Law at Stanford Law School, as well as statistics and computing at Stanford University, the University of California at Berkeley, and San Jose State University. I developed an online midquarter evaluation system for statistics course evaluation (subsequently adopted by mechanical engineering). For my teaching efforts Stanford has recognized me with the Centennial Teaching Award and the Statistics Departmental Teaching Award (twice).
I worked as a summer extern at the U.S. Court of Appeals for the Ninth Circuit with Chief Judge Kozinski and served as Managing Editor of the Stanford Law and Policy Review in 2007. I've been a summer intern at PARC.com (formerly Xerox PARC) and IBM's T. J. Watson Research Labs.
I obtained Master's and Bachelor's degrees in Economics from the University of British Columbia and the University of Ottawa respectively, where I was a member of the Dean's List for Academic Excellence and scholarship recipient. My webpage, including talks and publications, is http://www.stodden.net and I occasionally blog at http://blog.stodden.net.
Massive data, the digitalization of science, and reproducibility of result
as author at CERN Colloquium,
Reproducible Research in Computational Science: Problems and Solutions For Data and Code Sharing
as author at 27th International Conference on Machine Learning (ICML), Haifa 2010,