Associate Professor Victoria Stodden will be a keynote speaker at the second annual Building Research Integrity Through Reproducibility conference, which will be held on June 15 at the University of Utah. She will also moderate the panel, "What Universities Do (and Don't Do) to Influence (or not) Research Reproducibility."
In her keynote presentation, "Computational Reproducibility," she will frame reproducibility in data-enabled scientific discovery, provide a brief history of efforts towards reproducibility within the scientific community, discuss the problems in replicating computational findings, and examine the lifecycle of data science. According to Stodden, the future of data science will include a major effort to develop infrastructure that supports the entire data science lifecycle, "promoting good scientific practice downstream like transparency and reproducibility."
Stodden's research 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. She serves as an associate editor for reproducibility for the Journal of the American Statistical Society and serves on the National Academy of Sciences (NAS) Committee on Reproducibility and Replicability in Science and the NAS Roundtable on Data Science Postsecondary Education.
At Illinois, she holds affiliate appointments at the National Center for Supercomputing Applications (NSCA), College of Law, Department of Statistics, and Department of Computer Science. Stodden earned both her PhD in statistics and her law degree from Stanford University.