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Victoria Stodden

Associate Professor
Enabling reproducibility in computational science, including the study of adequacy and robustness in replicated results, designing and implementing validation systems, developing standards of openness for data and code sharing.
https://ischool.illinois.edu/people/victoria-stodden
All Pubs (4)Attributed Pubs (4)
in Community Harvard Data Science Review

Highlights of the US National Academies Report on “Reproducibility and Replicability in Science”

by Harvey Fineberg, Victoria Stodden, and Xiao-Li Meng
HF
Published: Oct 27, 2020
An interview with Harvey Fineberg and Victoria Stodden by Xiao-Li Meng
in Community Harvard Data Science Review

Theme Editor's Introduction to Reproducibility and Replicability in Science

by Victoria Stodden
Published: Dec 16, 2020
Connections
Supplements (1): 
National Academies of Sciences, Engineering, and Medicine
in Community Harvard Data Science Review

Ambitious Data Science Can Be Painless

by Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, and David Donoho
Published: Jul 01, 2019
in Community Harvard Data Science Review

Trust but Verify: How to Leverage Policies, Workflows, and Infrastructure to Ensure Computational Reproducibility in Publication

by Craig Willis and Victoria Stodden
CW
Published: Dec 16, 2020
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