Stodden to deliver keynote on reproducibility at IEEE Data Science Workshop

Associate Professor Victoria Stodden will be a keynote speaker at the 2018 IEEE Data Science Workshop, which will be held June 4-6 in Lausanne, Switzerland. The workshop will bring together researchers from the academic disciplines of data science, including signal processing, statistics, machine learning, data mining, and computer science, along with industry experts from fields such as personalized health and medicine, earth and environmental science, applied physics, finance and economics, and intelligent manufacturing. 

Stodden will give the keynote, "Reproducibility and Generalizability in Data-enabled Discovery."

Abstract: As computation becomes central to scientific research and discovery – bringing us the field of Data Science – new questions arise regarding the implementation, dissemination, and evaluation of methods that underlie scientific claims. I present a framework for conceptualizing the affordances that support Data Science including computational reproducibility, transparency, and generalizability of findings. For example, reproducibility in computational research can be interpreted most narrowly as a simple trace of computational steps that generate scientific findings, and most expansively as an entirely independent implementation of an experiment that tests the same hypothesis as previously published work. Standards for determining a scientific finding are necessarily adapting to computationally- and data-enabled research.  Finally, the social context for these innovations raises important questions regarding incentives to engage in new research practices and the ethics of these practices themselves.

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 (NCSA), 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.

Updated on
Backto the news archive

Related News

Cheng defends dissertation

Doctoral candidate Jessica Cheng successfully defended her dissertation, "Agreeing to Disagree: Applying a Logic-based Approach to Reconciling and Merging Multiple Taxonomies," on May 25. 

Jessica Cheng

Brooks presents keynote at West African conference

Ian Brooks, iSchool research scientist and director of the Center for Health Informatics (CHI), gave a keynote talk at the West Africa Conference on Digital Public Goods and Cybersecurity, which was held on May 9-10 in Freetown, Sierra Leone. The conference focused on bridging the gender gap in digital public goods and cybersecurity spaces in Africa.

Ian Brooks

New project to help identify and predict insider threats

Insider threats are one of the top security concerns facing large organizations. Current and former employees, business partners, contractors—anyone with the right level of access to a company’s data—can pose a threat. The incidence of insider threats has increased in recent years, at a significant cost to companies. Associate Professor Jingrui He is addressing this problem in a new project that seeks to detect and predict insider threats. She has been awarded a three-year, $200,000 grant from the C3.ai Digital Transformation Institute for her project, "Multi-Facet Rare Event Modeling of Adaptive Insider Threats."

Jingrui He

iSchool students present their research at Urbana City Council meeting

At the Urbana City Council meeting on May 9, students in the Community Data (IS 594) course presented their research on how communities are reducing gun violence. According to their instructor Chamee Yang, postdoctoral research associate with the iSchool, Community Data Clinic, and Just Infrastructures Initiative, the new course was designed as an experiential learning opportunity with a community engagement component, where students could gain research experience with real-world implications. Throughout the Spring 2022 semester, students worked in groups to explore community-driven approaches to prevent gun violence.

Chamee Yang, Sarah Unruh, and Gowri Balasubramaniam

Dinh defends dissertation

Doctoral candidate Ly Dinh successfully defended her dissertation, "Advances to Network Analysis Theories and Methods for the Understanding of Formal and Emergent Structures in Interpersonal, Corporate/Organizational, and Hazards Response Setting," on May 19.

Ly Dinh