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Data Feminism

Author
Catherine D’Ignazio and Lauren F. Klein
Publisher / Label
Mit Press
Country
USA
Language
English
Publication year
2020
Type of publication
Book
Number of pages
328
ISBN
9780262044004

Index

Acknowledgments   ix
	
Introduction: Why data science needs feminism   1

1. The power chapter   21
   Principle: Examine Power
2. Collect, analyze, imagine, teach   49
   Principle: Challenge Power
3. On rational, scientific, objective viewpoints from mythical, imaginary, impossible standpoints   73
   Principle: Elevate Emotion and Embodiment
4. "What gets counted counts" 97
   Principle: Rethink Binaries and Hierarchies
5. Unicorns, janitors, ninjas, wizards and rock stars 125
   Principles:  Embrace Pluralism
6. The numbers don't speak for themselves   149
   Principle: Consider Context
7. Show your work 173
   Principle: Consider Labor Visible

Conclusion: Now let's multiply   203