MARC record from Internet Archive

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001 ocn876370806
003 OCoLC
005 20220314083150.0
008 140324s2014 nyu b 001 0 eng
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020 $a9781107067356$q(hardback ;$qalk. paper)
020 $a1107067359$q(hardback ;$qalk. paper)
020 $a9781107637689$q(pbk. ;$qalk. paper)
020 $a1107637686$q(pbk. ;$qalk. paper)
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035 $a(OCoLC)876370806$z(OCoLC)880235720$z(OCoLC)892076850$z(OCoLC)1166981752
041 0 $aeng
042 $apcc
050 00 $aJC596$b.P747 2014
082 00 $a323.44/8$223
245 00 $aPrivacy, big data, and the public good :$bframeworks for engagement /$cedited 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 1 $aNew York, NY :$bCambridge University Press,$c2014.
300 $axix, 322 pages ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references and index.
505 00 $gPart I.$tConceptual framework.$tMonitoring, datafication, and consent : legal approaches to privacy in the big data context /$rKatherine J. Strandburg ;$tBig data's end run around anonymity and consent /$rSolon Barocas and Helen Nissenbaum ;$tThe economics and behavioral economics of privacy /$rAlessandro Acquisti ;$tChanging the rules : general principles for data use and analysis /$rPaul Ohm ;$tEnabling reproducibility in big data research : balancing confidentiality and scientific transparency /$rVictoria Stodden --$gPart II.$tPractical framework.$tThe value of big data for urban science /$rSteven E. Koonin and Michael J. Holland ;$tData for the public good : challenges and barriers in the context of cities /$rRobert M. Goerge ;$tA European perspective on research and big data analysis / Peter Elias ;$tThe new deal on data : a framework for institutional controls /$rDaniel Greenwood, Arkadiusz Stopczynski, Brian Sweatt, Thomas Hardjono, and Alex Pentland ;$tEngineered controls for dealing with big data /$rCarl Landwehr ;$tPortable approaches to informed consent and open data /$rJohn Wilbanks --$gPart III.$tStatistical framework.$tExtracting information from big data : issues of measurement, inference and linkage /$rFrauke Kreuter and Roger D. Peng ;$tUsing statistics to protect privacy /$rAlan F. Karr and Jerome P. Reiter ;$tDifferential privacy: a cryptographic approach to private data analysis /$rCynthia Dwork.
520 $aMassive 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.--Publisher information.
546 $aText in English.
650 0 $aPrivacy, Right of.
650 0 $aResearch$xMoral and ethical aspects.
650 0 $aBig data$xSocial aspects.
650 0 $aCommon good.
650 7 $a54.64 databases.$2bcl
650 7 $a86.52 civil rights.$2bcl
650 7 $aProtection of privacy.$2eclas
650 7 $aPublic interest.$2eclas
650 7 $aOfficial statistics.$2eclas
650 7 $aProfessional ethics.$2eclas
650 7 $aBig data$xSocial aspects.$2fast$0(OCoLC)fst01983622
650 7 $aCommon good.$2fast$0(OCoLC)fst00869784
650 7 $aPrivacy, Right of.$2fast$0(OCoLC)fst01077444
650 7 $aResearch$xMoral and ethical aspects.$2fast$0(OCoLC)fst01095225
650 7 $aBig Data$2gnd
650 7 $aData Mining$2gnd
650 7 $aMarktforschung$2gnd
650 7 $aPrivatsphäre$2gnd
650 7 $aÖffentliches Gut$2gnd
650 7 $aWirtschaftsethik$2gnd
650 7 $a54.64 databases.$2nbc
650 7 $a86.52 civil rights.$2nbc
650 7 $aDroit à la vie privée.$2ram
650 7 $aDonnées massives.$2ram
650 7 $aIntérêt général.$2ram
650 7 $aBig data$xsociala aspekter.$2sao
650 7 $aForskningsetik.$2sao
650 7 $aOfficiell statistik$xEtik och moral.$2sao
650 7 $aPersonlig integritet.$2sao
650 7 $aAllmänintresse.$2sao
700 1 $aLane, Julia I.,$eeditor.
938 $aBaker and Taylor$bBTCP$nBK0015041537
938 $aYBP Library Services$bYANK$n11813860
938 $aYBP Library Services$bYANK$n11813859
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