---
title: "Data Feminism - Catherine D'ignazio - Paperback Bog - MIT Press Ltd - 2023 - Engelsk - Booktok.dk"
ean: "9780262547185"
brand: "MIT Press Ltd"
category: "Medier > Bøger"
price_min: 262
price_max: 336
currency: DKK
vendor_count: 3
in_stock: true
url: https://pricetracker.dk/p/9780262547185/data-feminism
last_checked: 2026-10-14
---

# Data Feminism - Catherine D'ignazio - Paperback Bog - MIT Press Ltd - 2023 - Engelsk - Booktok.dk

EAN 9780262547185 · Mærke: MIT Press Ltd · Kategori: Medier > Bøger

Sammenlign priser på Data Feminism - Catherine D'ignazio - Paperback Bog - MIT Press Ltd - 2023 - Engelsk - Booktok.dk fra 3 forhandlere. Billigste pris nu: 262 kr hos Booktok. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9780262547185/data-feminism

## Priser
- **Billigste pris nu:** 262 kr hos Booktok
- **Prisspænd:** 262 kr – 336 kr på tværs af 3 forhandlere

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Booktok | 262 kr | 1-3 dage |
| Saxo DK | 314 kr | — |
| Plusbog | 336 kr | 6 - 8 hverdage |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Cutting edge strategies for thinking about data science and data ethics through an intersectional feminist lens. “Without ever finger-wagging, Data Feminism reveals inequities and offers a way out of a broken system in which the numbers are allowed to lie.”— WIRED 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 surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism , Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

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Priserne er sidst kontrolleret 2026-10-14.