Data feminism

by Catherine D'Ignazio

Other authorsLauren F. Klein (Author)
PDF, 2020

Publication

Cambridge : The MIT Press, 2020.

ISBN

9780262044004

Notes

https://data-feminism.mitpress.mit.edu/pub/f8vw7hhr/release/1?readingCollection=... Open Access 🔓
https://mitpressonpubpub.mitpress.mit.edu/data-feminism PubPub pre-print

CONTENTS
Acknowledgments
Introduction: Why Data Science Needs Feminism
1 The Power Chapter
Principle: Examine Power
2 Collect, Analyze, Imagine, Teach
Principle: Challenge Power
3 On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints
Principle: Elevate Emotion and Embodiment
4 “What Gets Counted Counts”
Principle: Rethink Binaries and Hierarchies
5 Unicorns, Janitors, Ninjas, Wizards, and Rock Stars
Principle: Embrace Pluralism
6 The Numbers Don’t Speak for Themselves
Principle: Consider Context
7 Show Your Work
Principle: Make Labor Visible
Conclusion: Now Let’s Multiply

Our Values and Our Metrics for Holding Ourselves Accountable
Auditing Data Feminism, by Isabel Carter
Acknowledgment of Community Organizations
Figure Credits
Notes
Name Index
Subject Index

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