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Privacy, big data, and the public good : frameworks for engagement / edited by Julia Lane, American Institutes for Research, Washington DC, Victoria Stodden, Columbia University, Stefan Bender, Institute for Employment Research of the German Federal Employment Agency, Helen Nissenbaum, New York University.

Lane, Julia I.
2014
JC596 .P747 2014 (Mapit)
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Title
Privacy, big data, and the public good : frameworks for engagement / edited by Julia Lane, American Institutes for Research, Washington DC, Victoria Stodden, Columbia University, Stefan Bender, Institute for Employment Research of the German Federal Employment Agency, Helen Nissenbaum, New York University.
ISBN
9781107637689 (paperback) (alkaline paper)
1107637686 (paperback) (alkaline paper)
9781107067356 (hardcover) (alkaline paper)
1107067359 (hardcover) (alkaline paper)
Published
New York, NY : Cambridge University Press, 2014.
Language
English
Language Note
Text in English.
Description
xix, 322 pages ; 23 cm
Call Number
JC596 .P747 2014
Dewey Decimal Classification
323.44/8
Summary
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. -- Back cover.
Bibliography, etc. Note
Includes bibliographical references and index.
Added Author
Lane, Julia I.
Record Appears in
On-Campus Resources > Books
All Resources
Monitoring, datafication, and consent : legal approaches to privacy in the big data context / Katherine J. Strandburg
Big data's end run around anonymity and consent / Solon Barocas and Helen Nissenbaum
The economics and behavioral economics of privacy / Alessandro Acquisti
Changing the rules : general principles for data use and analysis / Paul Ohm
Enabling reproducibility in big data research : balancing confidentiality and scientific transparency / Victoria Stodden
The value of big data for urban science / Steven E. Koonin and Michael J. Holland
Data for the public good : challenges and barriers in the context of cities / Robert M. Goerge
A European perspective on research and big data analysis / Peter Elias
The new deal on data : a framework for institutional controls / Daniel Greenwood, Arkadiusz Stopczynski, Brian Sweatt, Thomas Hardjono, and Alex Pentland
Engineered controls for dealing with big data / Carl Landwehr
Portable approaches to informed consent and open data / John Wilbanks
Extracting information from big data : issues of measurement, inference and linkage / Frauke Kreuter and Roger D. Peng
Using statistics to protect privacy / Alan F. Karr and Jerome P. Reiter
Differential privacy : a cryptographic approach to private data analysis / Cynthia Dwork.

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