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Towards a Trans-disciplinary Program on Data Science Policy

Overview

Data Science Type: Vanderbilt Initiative Award (ViA)

Society is increasingly entranced by and concerned about big data and data science. Big data is often described as massive growth in the “four V’s” of data: variety, velocity, veracity and volume. Yet critical policy issues must be addressed in order to understand the implications of the collection and analysis of such vast quantities of data, and how policies can best be designed to uphold rights and responsibilities. Many Vanderbilt faculty conduct research and educate on data-related technology and policy issues. However, efforts are fragmented in ways that impede larger efforts. This project will establish a trans-disciplinary program in Data Science Policy (DASPY) at Vanderbilt to provide the evidence base and advice needed for developing appropriate policy in this complex domain. The TIP is developing data science policy, with an initial focus on genomic data sharing, a ‘big data” challenge that will serve broader Vanderbilt priorities in precision medicine. 

Faculty Participants

Principal Investigator in bold

School of Medicine (Clinical)

School of Engineering

College of Arts & Science

Owen Graduate School of Management

  • Eric Johnson, Ralph Owen Dean and Bruce D. Henderson Professor of Strategy

Law School