Privacy, Big Data, and the Public Good (eBook, PDF)

Frameworks for Engagement
Redaktion: Lane, Julia

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 9. Juni 2014
• Englisch
• ISBN-13: 9781316094167
• Artikelnr.: 41009039

Inhaltsangabe

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.