LEADER 04130nam 22006373 450 001 9910896408503321 005 20241125084505.0 010 $a9780520402850 010 $a0520402855 024 7 $a10.1525/9780520402850 035 $a(CKB)36315337000041 035 $a(MiAaPQ)EBC31788859 035 $a(Au-PeEL)EBL31788859 035 $a(DE-B1597)690237 035 $a(DE-B1597)9780520402850 035 $a(Perlego)4383147 035 $a(EXLCZ)9936315337000041 100 $a20241125d2025 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPredatory Data $eEugenics in Big Tech and Our Fight for an Independent Future 205 $a1st ed. 210 1$aBerkeley :$cUniversity of California Press,$d2025. 210 4$dİ2025. 215 $a1 online resource (263 pages) 311 08$a9780520402843 311 08$a0520402847 327 $aIntroduction : predatory data : civic amputations in the global data economy -- Immigrant excisions, "race suicide" and the eugenic information market -- Streamlining's laboratories : monitoring cultures and eugenic design in the future city -- Of merit, metrics and myth : cognitive elites and techno-eugenics in the knowledge economy -- Relational infrastructures : feminist refusals & immigrant data solidarities -- The coalitional lives of data pluralism : inter-generational feminist resistance to data apartheid -- Community data : pluri-temporalities in the aftermath of big data -- Conclusion : data pluralism and a playbook for defending improbable worlds. 330 $aThe first book to draw a direct line between the datafication and prediction techniques of past eugenicists and today's often violent and extractive "big data" regimes.  Predatory Data illuminates the throughline between the nineteenth century's anti-immigration and eugenics movements and our sprawling systems of techno-surveillance and algorithmic discrimination. With this book, Anita Say Chan offers a historical, globally multisited analysis of the relations of dispossession, misrecognition, and segregation expanded by dominant knowledge institutions in the Age of Big Data.   While technological advancement has a tendency to feel inevitable, it always has a history, including efforts to chart a path for alternative futures and the important parallel story of defiant refusal and liberatory activism. Chan explores how more than a century ago, feminist, immigrant, and other minoritized actors refused dominant institutional research norms and worked to develop alternative data practices whose methods and traditions continue to reverberate through global justice-based data initiatives today. Looking to the past to shape our future, this book charts a path for an alternative historical consciousness grounded in the pursuit of global justice. A free ebook version of this title is available through Luminos, University of California Press's Open Access publishing program. Visit www.luminosoa.org to learn more. 606 $aTechnology$xSocial aspects 606 $aDiscrimination in science$xHistory 606 $aEugenics$xMoral and ethical aspects$xHistory 606 $aQuantitative research$xMoral and ethical aspects 606 $aBig data$xMoral and ethical aspects 606 $aSOCIAL SCIENCE / Technology Studies$2bisacsh 606 $aSOCIAL SCIENCE / Discrimination$2bisacsh 615 0$aTechnology$xSocial aspects. 615 0$aDiscrimination in science$xHistory. 615 0$aEugenics$xMoral and ethical aspects$xHistory. 615 0$aQuantitative research$xMoral and ethical aspects. 615 0$aBig data$xMoral and ethical aspects. 615 7$aSOCIAL SCIENCE / Technology Studies 615 7$aSOCIAL SCIENCE / Discrimination 676 $a005.7 686 $aSOC071000$aSOC031000$2bisacsh 700 $aChan$b Anita Say$01768097 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910896408503321 996 $aPredatory Data$94287489 997 $aUNINA