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書名 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
出版項 New York, NY : Cambridge University Press, 2014
國際標準書號 9781107067356 (hardback : alk. paper)
1107067359 (hardback : alk. paper)
9781107637689 (pbk. : alk. paper)
1107637686 (pbk. : alk. paper)
國際標準號碼 40023929913
book jacket
館藏地 索書號 處理狀態 OPAC 訊息 條碼
 人文社會聯圖  JC596 .P747 2014    到期 02-01-21    30650020055378
 人文社會聯圖  JC596 .P747 2014    到期 02-01-21    30660020160680
 資訊所圖書室圖書區  J4 P961    到期 12-14-20    30330000229786
 歐美所圖書館  323.448 P9395 2014    到期 09-03-22  -  30500101516881
 統計所圖書館圖書區I  JC596 P 747 2014    在架上    30570000136818
說明 xix, 322 pages ; 24 cm
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unmediated n rdamedia
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附註 Includes bibliographical references and index
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
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
Text in English
主題 Privacy, Right of
Research -- Moral and ethical aspects
Big data -- Social aspects
Common good
Alt Author Lane, Julia I
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