Victoria Stodden

Victoria Stodden is a statistician, associate professor of [https://stodden.net/ information sciences], and affiliate professor of statistics at the University of Southern California. She earned a B.A. in economics from the University of Ottawa, an MS in economics from the University of British Columbia, and both her law degree and a Ph.D. in statistics from Stanford University. Provided by Wikipedia
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  1. 1
    On Emergent Limits to Knowledge—Or, How to Trust the Robot Researchers: A Pocket Guide

    On Emergent Limits to Knowledge—Or, How to Trust the Robot Researchers: A Pocket Guide by Victoria Stodden

    Published 2024-05-01
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  2. 2
    Trust but Verify: How to Leverage Policies, Workflows, and Infrastructure to Ensure Computational Reproducibility in Publication

    Trust but Verify: How to Leverage Policies, Workflows, and Infrastructure to Ensure Computational Reproducibility in Publication by Craig Willis, Victoria Stodden

    Published 2021-02-01
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  3. 3
    Highlights of the US National Academies Report on “Reproducibility and Replicability in Science”

    Highlights of the US National Academies Report on “Reproducibility and Replicability in Science” by Harvey Fineberg, Victoria Stodden, Xiao-Li Meng

    Published 2021-02-01
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    Ambitious Data Science Can Be Painless

    Ambitious Data Science Can Be Painless by Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, David Donoho

    Published 2019-07-01
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