
Predatory Data
Description
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The 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.More details
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Content
Acknowledgments
Introduction: Predatory Data: Civic Amputations in the Global Data Economy
1 • Immigrant Excisions, "Race Suicide," and the Eugenic Information Market
2 • Streamlining's Laboratories: Monitoring Culture and Eugenic Design in the Future City
3 • Of Merit, Metrics, and Myth: Cognitive Elites and Techno-Eugenics in the Knowledge Economy
4 • Relational Infrastructures: Feminist Refusals and Immigrant Data Solidarities
5 • The Coalitional Lives of Data Pluralism: Intergenerational Feminist Resistance to Data Apartheid
6 • Community Data: Pluri-Temporalities in the Aftermath of Big Data
Conclusion: Data Pluralism and a Playbook for Defending Improbable Worlds
Notes
References
Index
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