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Data feminism / Catherine D'Ignazio and Lauren F. Klein.
- Format:
- Book
- Author/Creator:
- D'Ignazio, Catherine, author.
- Klein, Lauren F., author.
- Series:
- ideas series
- <strong> ideas series
- Language:
- English
- Subjects (All):
- Feminism.
- Feminism and science.
- Big data--Social aspects.
- Big data.
- Quantitative research--Methodology--Social aspects.
- Quantitative research.
- Power (Social sciences).
- Physical Description:
- 1 online resource (xii, 314 pages) : illustrations (some color.
- Place of Publication:
- Cambridge, Massachusetts : The MIT Press, [2020]
- 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.
- Notes:
- Includes bibliographical references and index.
- Electronic reproduction. Ann Arbor, MI Available via World Wide Web.
- Description based on print version record.
- ISBN:
- 9780262358521 (electronic bk.)
- 0262358522 (electronic bk.)
- Publisher Number:
- 99992553860
- Access Restriction:
- Restricted for use by site license.
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