Big Privacy: Policy Meets Data Science Symposium
Oct 15, 2015
1:00 pm - 5:00 pm
DeLuca Forum, Discovery Building
A symposium sponsored by:
The Center for Predictive Computational Phenotyping (CPCP)
NIH Center of Excellence for Big Data Computing
Agenda:
1:00 PM - 1:10 PM Welcome on behalf of CPCP
Dr. David Page, UW Madison
Professor of Biostatistics and Medical Informatics
1:10 - 2:00 PM Big Data, Big Headaches: Cultivating Public Trust in an Age of Unconsented Access to Identifiable Data
Dr. Barbara Evans, University of Houston Law Center
Professor of Law and George Butler Research Professor
Director, Center on Biotechnology & Law,
2:00- 2:50 PM Does Publishing a Predictive Model for Precision Medicine Put Patient Privacy at Risk?
Dr. Matt Fredrikson, Carnegie Mellon University
Assistant Professor of Computer Science
2: 50 - 3:10 PM Break
3:10 - 4:00 PM New Genetic Re-identification Methods and Implications for Privacy
Dr. Arvind Narayanan, Princeton University
Assistant Professor of Computer Science
4:00 - 5:00 PM Panel Discussion: Policy vs. Technological Advances?
Moderator, Dr. David Page, UW Madison
Panel Members:
Dr. Barbara Evans, University of Houston Law Center
Dr. Matt Fredrikson, Carnegie Mellon University
Dr. Arvind Narayanan, Princeton University
Dr. Pilar Ossario, UW Madison
Dr. Vitaly Shmatikov, Cornell University
This research is supported by the National Institute of Allergy and Infectious Diseases (NIAID) and the BD2K program of the National Institutes of Health under Award Number U54AI117924. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The CPCP partners with the Morgridge Institute for Research and the Marshfield Research Clinic, and receives additional support from the UW-Madison School of Medicine and Public Health and the Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison with funding from the Wisconsin Alumni Research Foundation.