Privacy, big data, and the public good: frameworks for engagement

Abstract

Part I. Conceptual Framework: Editors' introduction Julia Lane, Victoria Stodden, Stefan Bender and Helen Nissenbaum 1. Monitoring, datafication, and consent: legal approaches to privacy in the big data context Katherine J. Strandburg 2. Big data's end run around anonymity and consent Solon Barocas and Helen Nissenbaum 3. The economics and behavioral economics of privacy Alessandro Acquisti 4. The legal and regulatory framework: what do the rules say about data analysis? Paul Ohm 5. Enabling reproducibility in big data research: balancing confidentiality and scientific transparency Victoria Stodden Part II. Practical Framework: Editors' introduction Julia Lane, Victoria Stodden, Stefan Bender and Helen Nissenbaum 6. The value of big data for urban science Steven E. Koonin and Michael J. Holland 7. The new role of cities in creating value Robert Goerge 8. A European perspective Peter Elias 9. Institutional controls: the new deal on data Daniel Greenwood, Arkadiusz Stopczynski, Brian Sweatt, Thomas Hardjono and Alex Pentland 10. The operational framework: engineered controls Carl Landwehr 11. Portable approaches to informed consent and open data John Wilbanks Part III. Statistical Framework: Editors' introduction Julia Lane, Victoria Stodden, Stefan Bender and Helen Nissenbaum 12. Extracting information from big data Frauke Kreuter and Roger Peng 13. Using statistics to protect privacy Alan F. Karr and Jerome P. Reiter 14. Differential privacy: a cryptographic approach to private data analysis Cynthia Dwork.