TY  - BOOK
AU  - Lane,Julia I.
TI  - Privacy, big data, and the public good: frameworks for engagement 
SN  - 9781107637689
AV  - JC 596 .P747 2014
PY  - 2014///
CY  - New York, NY
PB  - Cambridge University Press
KW  - Privacy, Right of
KW  - Research
KW  - Moral and ethical aspects
KW  - Big data
KW  - Social aspects
KW  - Common good
N1  - Includes bibliographical references and index; 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
ER  -