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

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

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