Predatory data Eugenics in big tech and our fight for an independent future
Book - 2025
"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 refuse...d 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"--
- Subjects
- Published
-
Oakland, California :
University of California Press
[2025]
- Language
- English
- Main Author
- Physical Description
- xii, 246 pages : illustrations (chiefly color), color maps ; 23 cm
- Bibliography
- Includes bibliographical references (pages 219-241) and index.
- ISBN
- 9780520402843
- Introduction. Predatory data : civic amputations in the global data economy
- Immigrant excisions, "race suicide" and the eugenic information market
- Streamlining's laboratories : monitoring culture 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 and immigrant data solidarities
- The coalitional lives of data pluralism : intergenerational 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.