Data Feminism (Paperback)

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
Principle: Embrace Pluralism
6 The Numbers Don't Speak for Themselves 149
Principle: Consider Context
7 Show Your Work 173
Principle: Make Labor Visible
Conclusion: Now Let's Multiply 203
Our Values and Our Metrics for Holding Ourselves Accountable 215
Auditing Data Feminism, by Isabel Carter 223
Acknowledgment of Community Organizations 225
Figure Credits 227
Notes 235
Name Index 303
Subject Index 307