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Book/Printed Material Predatory data : eugenics in big tech and our fight for an independent future

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Title

  • Predatory data : eugenics in big tech and our fight for an independent future

Summary

  • "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"-- Provided by publisher.

Names

  • Chan, Anita Say, author

Created / Published

  • Oakland, California : University of California Press, [2025]
  • ©2025

Contents

  • Introduction : 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.

Headings

  • -  Technology--Social aspects
  • -  Discrimination in science--History
  • -  Eugenics--Moral and ethical aspects--History
  • -  Quantitative research--Moral and ethical aspects
  • -  Big data--Moral and ethical aspects
  • -  SOCIAL SCIENCE / Technology Studies
  • -  SOCIAL SCIENCE / Discrimination

Notes

  • -  Includes bibliographical references and index.
  • -  Description based on print version record and CIP data provided by publisher.

Medium

  • 1 online resource

Call Number/Physical Location

  • T14.5

Digital Id

Library of Congress Control Number

  • 2024026599

Rights Advisory

Access Advisory

  • Unrestricted online access.

Online Format

  • epub
  • image

Additional Metadata Formats

Rights & Access

The books in this collection are licensed under open access licenses allowing for the reuse and distribution of each book following the terms described in each license. Researchers should consult the Rights Advisory statement for each title and the accompanying license details for information about rights and permissions associated with each of the licenses.

More about Copyright and other Restrictions.

Cite This Item

Citations are generated automatically from bibliographic data as a convenience, and may not be complete or accurate.

Chicago citation style:

Chan, Anita Say, Author. Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future. [Oakland, California: University of California Press, ©, 2025] Image. https://aj.sunback.homes/item/2024026599/.

APA citation style:

Chan, A. S. (2025) Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future. [Oakland, California: University of California Press, ©] [Image] Retrieved from the Library of Congress, https://aj.sunback.homes/item/2024026599/.

MLA citation style:

Chan, Anita Say, Author. Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future. [Oakland, California: University of California Press, ©, 2025] Image. Retrieved from the Library of Congress, <aj.sunback.homes/item/2024026599/>.