Ontology highlight
ABSTRACT:
SUBMITTER: Kearns M
PROVIDER: S-EPMC4743768 | biostudies-literature | 2016 Jan
REPOSITORIES: biostudies-literature
Kearns Michael M Roth Aaron A Wu Zhiwei Steven ZS Yaroslavtsev Grigory G
Proceedings of the National Academy of Sciences of the United States of America 20160111 4
Motivated by tensions between data privacy for individual citizens and societal priorities such as counterterrorism and the containment of infectious disease, we introduce a computational model that distinguishes between parties for whom privacy is explicitly protected, and those for whom it is not (the targeted subpopulation). The goal is the development of algorithms that can effectively identify and take action upon members of the targeted subpopulation in a way that minimally compromises the ...[more]