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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
Format
Book
Published
New York, NY : Cambridge University Press, 2014
Language
Text in English
ISBN
9781107067356, 1107067359, 9781107637689, 1107637686
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
Description
xix, 322 pages ; 24 cm
Notes
Includes bibliographical references.
Technical Details
  • Access in Virgo Classic
  • Staff View

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    a| Privacy, big data, and the public good : b| frameworks for engagement / c| 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.
    264
      
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    a| New York, NY : b| Cambridge University Press, c| 2014
    300
      
      
    a| xix, 322 pages ; c| 24 cm
    336
      
      
    a| text b| txt 2| rdacontent
    337
      
      
    a| unmediated b| n 2| rdamedia
    338
      
      
    a| volume b| nc 2| rdacarrier
    504
      
      
    a| Includes bibliographical references.
    520
      
      
    a| 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
    546
      
      
    a| Text in English.
    650
      
    0
    a| Privacy, Right of.
    650
      
    0
    a| Research x| Moral and ethical aspects.
    650
      
    0
    a| Big data x| Social aspects.
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    0
    a| Common good.
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    a| Lane, Julia I., e| editor.
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    a| Stodden, Victoria, e| editor.
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    1
      
    a| Bender, Stefan, e| editor.
    700
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    a| Nissenbaum, Helen., e| editor.
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    a| Z0 b| VAL
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    a| 17
    999
      
      
    a| JC596 .P747 2014 w| LC i| 35007008279626 l| STACKS m| LAW t| BOOK
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