Data Feminism
By: Catherine D'Ignazio and Lauren F. Klein
Series: <strong> Ideas Series
Publisher: MIT Press
Published: 2020
Place of publication: Cambridge, Massachusetts; London, England
Language: eng
Format: Hardcover
Number of pages: 328
ISBN-13: 9780262044004
Copyright date: 2020
Subjects: Feminism; Big data; Power (social sciences)
Notes: Copyright Creative Commons BY-NC-ND
Table of contents: label: Acknowledgments
pagenum: | ix; label: Introduction
title: Why Data Science Needs Feminism
pagenum: | 1; label: 1
title: The Power Chapter
pagenum: Principle: Examine Power | 21; label: 2
title: Collect, Analyze, Imagine, Teach
pagenum: Principle: Challenge Power | 49; label: 3
title: On Rational, Scientific, Objective Viewpoints from Mythical, Imagery, Impossible Standpoints
pagenum: Principle: Elevate Emotion and Embodiment | 73; label: 4
title: "What Gets Counted Counts"
pagenum: Principle: Rethink Binaries and Hierarchies | 97; label: 5
title: Unicorns, Janitors, Ninjas, Wizards, and Rock Stars
pagenum: Principle: Embrace Pluralism | 125; label: 6
title: The Numbers Don't Speak For Themselves
pagenum: Principle: Consider Context | 149; label: 7
title: Show Your Work
pagenum: Principle: Make Labor Visible | 173; label: Conclusion
title: Now Lets Multiply
pagenum: | 203; label: Our Values and Our Metrics for Holding Ourselves Accountable
pagenum: | 215; label: Auditing Data Feminism, by Isabel Carter
pagenum: | 223; label: Acknowledgement of Community Organizations
pagenum: | 225; label: Figure Credits
pagenum: | 227; label: Notes
pagenum: | 235; label: Name Index
pagenum: | 303; label: Subject Index
pagenum: | 307