The Vanderbilt Student Technology Committee presents
"Medical Privacy in the Big Data Age"
Bradley Malin, PhD
Associate Professor of Biomedical Informatics & Vice Chair for Research
Co-Director of the Health Data Science Center
Director of the Health Information Privacy Lab
Friday, November 18th, 12:00-1:00pm
Light Hall, Room 202
Courtesy of the Office of Education Design and Technology, *LUNCH WILL BE PROVIDED TO STUDENTS WHY RSVP*, and for others on an as-available basis!
Description of Talk: Emerging programs, such as the Precision Medicine Initiative, are promising to collect highly detailed biological, clinical, and mobile data from millions of individuals. These programs aim to make such big data collections available to a wide range of users (including the public), without eroding participants’ trust in the research enterprise. For the past several decades, one of the hallmarks of privacy protection has been the “de-identification” of data; however, an increasing number of detective-like investigations have demonstrated how seemingly anonymous records can be linked back to the named individuals from whom the data was solicited. These demonstrations have rattled policy makers and data managers, leading to calls for new types of legislation, as well as new approaches to data privacy protections that are rooted in perturbation designed to meet statistically-rigorous definitions. Yet, in this seminar, I will illustrate how such attacks rely on adversarial frameworks that assume the recipients are armed with infinite motivation, capability, and lack regard for constitutional and contractual agreements. I will further show how models of reasonable (or rational) adversaries, with a focus on game theory, enable pragmatic privacy risk analysis in data sharing, such that substantial quantities of data can be disseminated with sufficiently minimized risk.
This talk is intended for a medical student audience, though faculty, clinical providers, staff, and students from other schools are also encouraged to attend.