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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://stodden.net
All Pubs (5)
Attributed Pubs (5)
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
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
Ambitious Data Science Can Be Painless
by
Hatef Monajemi
,
Riccardo Murri
,
Eric Jonas
,
Percy Liang
,
Victoria Stodden
, and
David Donoho
Published: Jul 01, 2019
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
On Emergent Limits to Knowledge—Or, How to Trust the Robot Researchers: A Pocket Guide
by
Victoria Stodden
Published: May 24, 2024
Connections
Rejoinders (1):
David Donoho