Privacy, Big Data, and the Public Good: Frameworks For Engagement
Cambridge University Press, 6/16/2014
EAN 9781107637689, ISBN10: 1107637686
Paperback, 342 pages, 22.9 x 15.2 x 2 cm
Language: English
Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.
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.