Keynote: Victoria Stodden

Victoria Stodden – professor of library and information science. photo courtesy Prof. Stodden

Abstract

As scientific discovery increasingly takes place in silico and at ever increasing scales, cyberinfrastructure becomes vital to reliable inferences and findings. The corresponding growing use of cyberinfrastructure across the research community challenges the traditional definition of CI in new ways, as well as our CI provisioning processes. In this talk I argue that CI is crucial to reproducible science by way of two examples from genomics (acute leukemia (Golub et al., 1999) and prostate cancer (Singh et al., 2002)) where traditional methods (surprisingly) fail at scale. These examples will suggest ways to broaden the notion of CI so it is more readily recognized as a central driver of science.

Slides available here.

Biography

Victoria Stodden joined the School of Information Sciences as an associate professor in Fall 2014. 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, robustness in replicated findings, cyberinfrastructure to enable reproducibility, and scientific publishing practices. Stodden co-chairs the NSF Advisory Committee for CyberInfrastructure and is a member of the NSF Directorate for Computer and Information Science and Engineering (CISE) Advisory Committee. She also serves on the National Academies Committee on Responsible Science: Ensuring the Integrity of the Research Process.

Previously an assistant professor of statistics at Columbia University, Stodden taught courses in data science, reproducible research, and statistical theory and was affiliated with the Institute for Data Sciences and Engineering. She co-edited two books released in 2014—Privacy, Big Data, and the Public Good: Frameworks for Engagement published by Cambridge University Press and Implementing Reproducible Research published by Taylor & Francis. Stodden earned both her PhD in statistics and her law degree from Stanford University. She also holds a master’s degree in economics from the University of British Columbia and a bachelor’s degree in economics from the University of Ottawa.

Stodden’s website