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Data feminism

Author: Kanarinka; Lauren F Klein
Publisher: Cambridge, Massachusetts : The MIT Press, [2020]
Series: <strong> ideas series.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"We have seen through many examples that data science and artificial intelligence can reinforce structural inequalities like sexism and racism. Data is power, and that power is distributed unequally. This book offers a vision for a feminist data science that can challenge power and work towards justice. This book takes a stand against a world that benefits some (including the authors, two white women) at the expense  Read more...
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Document Type: Book
All Authors / Contributors: Kanarinka; Lauren F Klein
ISBN: 9780262044004 0262044005
OCLC Number: 1119470058
Description: xii, 314 pages : illustrations (some color) ; 24 cm.
Contents: Introduction: Why data science needs feminism --
Examine power : the power chapter --
Challenge power : collect, analyze, imagine, teach --
Elevate emotion and embodiment : on rational, scientific, objective viewpoints from mythical, imaginary, impossible standpoints --
Rethink binaries and hierarchies : "What gets counted counts" --
Embrace pluralism : unicorns, janitors, ninjas, wizards and rock stars --
Consider context : the numbers don't speak for themselves --
Make labor visible : show your work --
Conclusion: Now let's multiply.
Series Title: <strong> ideas series.
Responsibility: Catherine D'Ignazio and Lauren F. Klein.

Abstract:

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.  Read more...

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...the authors' demystification of data science and advocacy for data feminism are extremely timely. The book also serves as an important introduction to intersectional feminist practice by providing Read more...

 
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