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Privacy, Big Data, and the Public Good : Frameworks for Engagement by Victoria Stodden (2014, Trade Paperback)
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PRIVACY, BIG DATA, AND THE PUBLIC GOOD: FRAMEWORKS FOR ENGAGEMENT By Julia Lane **BRAND NEW**.
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-101107637686
ISBN-139781107637689
eBay Product ID (ePID)201609537
Product Key Features
Number of Pages339 Pages
Publication NamePrivacy, Big Data, and the Public Good : Frameworks for Engagement
LanguageEnglish
Publication Year2014
SubjectPrivacy, Probability & Statistics / General, History & Theory, Research
TypeNot Available
Subject AreaMathematics, Law, Political Science, Reference
AuthorVictoria Stodden
FormatTrade Paperback
Dimensions
Item Height0.7 in
Item Weight17 Oz
Item Length9 in
Item Width6 in
Additional Product Features
LCCN2014-009737
Dewey Edition23
Reviews"'Big data' - the collection, aggregation or federation, and analysis of vast amounts of increasingly granular data - present[s] serious challenges not only to personal privacy but also to the tools we use to protect it. Privacy, Big Data, and the Public Good focuses valuable attention on two of these tools: notice and consent, and de-identification - the process of preventing a person's identity from being linked to specific data. [It] presents a collection of essays from a variety of perspectives, in chapters by some of the heavy hitters in the privacy debate, who make a convincing case that the current framework for dealing with consumer privacy does not adequately address issues posed by big data ... As society becomes more 'datafied' - a term coined to describe the digital quantification of our existence - our privacy is ever more at risk, especially if we continue to rely on the tools that we employ today to protect it. [This book] represents a useful and approachable introduction to these important issues." Science
IllustratedYes
Dewey Decimal323.44/8
Table Of ContentPart 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.
Intended AudienceScholarly & Professional
SynopsisThe book discusses access to big data for city, state, and federal government agencies and legal, social science, statistical, and technical communities interested in enabling research on big data. The authors' goal is to move the conversation to a vision of what frameworks should and could guide data access., 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., 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.
LC Classification NumberJC596.P747 2015
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