Data feminism
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...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Massachusetts :
The MIT Press
[2020].
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| Colección: | Diversity Collection
<strong> ideas series. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654917406719 |
Tabla de Contenidos:
- 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.
