Victoria Stodden is a statistician and associate professor at the Daniel J. Epstein Department of Industrial & Systems Engineering at the University of Southern California. She is a leading figure in the area of reproducibility in computational science, exploring how can we better ensure the reliability and usefulness of scientific results in the face of increasingly sophisticated computational approaches to research. Her work addresses a wide range of topics, including standards of openness for data and code sharing, legal and policy barriers to disseminating reproducible research, and scientific publishing practices.
She earned her Ph.D. in statistics from Stanford University, and her law degree from Stanford Law School. She recently completed service on the National Academies of Science, Engineering, and Medicine Committee on “Reproducibility and Replicability in Science” and has served on the National Academies of Science, Engineering, and Medicine “Roundtable on Data Science Post-Secondary Education” and Committee on “Responsible Science: Ensuring the Integrity of the Research Process.” She co-chaired the National Science Foundation’s Advisory Committee for CyberInfrastructure and served on the National Science Foundation’s Computer and Information Science and Engineering (CISE) Directorate’s Advisory Committee. Since December 2019, she has been a member of the HITS Scientific Advisory Board. Since December 2022, she has been serving as Vice-Chair.
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