DIMACS/Northeast Big Data Hub Workshop on Overcoming Barriers to Data Sharing including Privacy and Fairness

October 23 - 24, 2017
DIMACS Center, CoRE Building, Rutgers University

Organizing Committee:
John Abowd, U.S. Census Bureau and Cornell University
René Bastón, Columbia University
Tal Rabin, IBM
Adam Smith, Boston University
Salil Vadhan, Harvard University
Rebecca Wright, Rutgers University
Workshop email: Barriers_workshop at email.rutgers.edu
Presented under the auspices of the DIMACS Big Data Initiative on Privacy and Security and in collaboration with the Northeast Big Data Innovation Hub.
Workshop Announcement

This workshop will bring together computer scientists, legal scholars, and consumers of data to understand the extent to which privacy currently limits the sharing of data. Discussions will include but not be limited to research data and will seek to develop standards and best practices that enable new information flows in domains ranging from healthcare to energy.

A major focus of the workshop will be understanding the obstacles that exist for moving ideas from the research literature into practical application. Two technologies--multiparty computation and differentially private systems--will play an important role at the workshop, though a range of related tools from cryptography and security research will be discussed.

The workshop will include a mix of longer, tutorial-style talks and shorter technical presentations.

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Document last modified on October 9, 2017.