Victoria Stodden is Associate Professor in the Department of Industrial and Systems Engineering at the University of Southern California.
Stodden is an internationally recognized leader in improving the reliability of scientific results in the face of increasingly sophisticated computational approaches to research: understanding when and how inferences from data are valid and reproducible, what it means to have replicated a result, the effect of big data and computation on scientific inference, the design and implementation of scientific validation systems, standards of openness and transparency for data and code sharing, and resolving legal and policy barriers to disseminating reproducible research.
She has published more than 50 papers in scientific journals and conference proceedings, and has co-edited two professional books, published in 2014, Privacy, Big Data, and the Public Good: Frameworks for Engagement, published by Cambridge University Press and Implementing Reproducible Research, published by Taylor & Francis.
In 2009 she won the Access to Knowledge Kaltura prize for her publication on legal issues in reproducible research and scientific innovation. She has served on the National Academies of Science, Engineering, and Medicine committees: “Reproducibility and Replication in Science” and “Fostering Research Integrity.” She co-chaired the National Science Foundation Advisory Committee for Cyberinfrastructure and was a member of the National Science Foundation Directorate for Computer and Information Science and Engineering (CISE) Advisory Committee. She has been quoted in The Economist (2013) and interviewed by publications such as Nature (2016) on reproducibility in science.
Learn more about Victoria Stodden’s wide ranging work by visiting https://stodden.net/
Victoria’s research goal
“What processes and systems produce truth in computational research? My research seeks to answer this question by integrating understanding of statistical and computational inference at massive scale, computational infrastructures and platforms for scientific discovery, and effective social research ecosystems.”
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