Data feminism / / Catherine D'Ignazio and Lauren F. Klein.
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and sur...
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| Superior document: | Strong ideas |
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| TeilnehmendeR: | |
| Place / Publishing House: | Cambridge, Massachusetts : : The MIT Press,, [2020]. |
| Year of Publication: | 2020 |
| Language: | English |
| Series: | Diversity Collection
ideas series. |
| Physical Description: | 1 online resource (xii, 314 pages) :; illustrations (chiefly colour) |
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Table of 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.