Privacy, Big Data and the Public Good: The Statistical Framework

• Activity Number: 427
• Type: Invited
• Date/Time: Wednesday, August 6, 2014 : 8:30 AM to 10:20 AM
• Sponsor: ASA
• Author(s): Stefan Bender*+
• Companies: Institut für Arbeitsmarkt- und Berufsforschung (IAB)

Abstract

Since the data generating process or the data collection process is not necessarily well understood for big data, what can statistics tell us about how to make greatest scientific use of this data while simultaneously quantifying the extent of privacy loss? What will be needed to develop standards of transparency in the collection of data? What is needed to evaluate the quality of the linked sources? The presentation will be rounded up by a European view on big data analysis. The content of the presentation will include the chapters Extracting Information from Big Data: A Privacy and Confidentiality Perspective by Frauke Kreuter and Roger Peng. - Using Statistics to Protect Privacy by Alan F. Karr and Jerome P. Reiter - Differential Privacy: A Cryptographic Approach to Private Data Analysis by Cynthia Dwork. - A European Perspective on Research and Big Data Analysis by Peter Elias.