Data Feminism (Strong Ideas)
Data Feminism (Strong Ideas) by Catherine D’Ignazio and Lauren Klein explores data science and ethics through intersectional feminist thought. It examines how power shapes data practices and offers strategies for people working in data science and feminism.
At a glance
- Discusses data science as a form of power that can be used for both beneficial and harmful purposes.
- Uses intersectional feminist ideas to question data practices and hierarchical classification systems.
- Explores how emotion can broaden approaches to data visualisation and how invisible labour contributes to automated systems.
- Offers strategies for data scientists and feminists interested in working towards justice in data science.
Often bought together
Pros and cons
Pros
- Connects data ethics with questions about who creates data science and whose interests it serves.
- Addresses practical themes including classification, visualisation and the human labour behind automated systems.
- The listed 328-page length offers substantial scope for the subject.
Technical specifications
8 specifications| Publisher | MIT Press |
|---|---|
| Publication date | 3 Oct. 2023 |
| Language | English |
| Print length | 328 pages |
| ISBN-10 | 026254718X |
| ISBN-13 | 978-0262547185 |
| Weight listed | 805 g |
|---|---|
| Dimensions | 20.5 x 1.7 x 22.9 cm |
Who is it for?
A good fit for
- Data scientists seeking a framework for considering power and justice in their work.
- Readers interested in feminist approaches to data ethics, classification and visualisation.
- Feminists looking to engage with data science.
Customer reviews on Amazon
- 5 stars
89% 89% - 4 stars
8% 8% - 3 stars
2% 2% - 2 stars
0% 0% - 1 star
1% 1%
The supplied evidence includes aggregate ratings but no customer-comment summary. The rating pattern is strongly favourable overall, though ratings alone do not show which aspects readers valued or identify specific concerns. Consider the book's focus on data ethics, feminist thought and power when deciding whether its subject matter fits your needs.
Frequently asked questions
What is Data Feminism about?
It presents ways to think about data science and data ethics informed by intersectional feminist thought, with attention to power, injustice and the people involved in data work.
Who is the book aimed at?
The listing describes strategies for data scientists interested in feminist approaches and for feminists who want to focus on data science.
What are the listed edition details?
The listing gives an English-language MIT Press edition dated 3 Oct. 2023, with a print length of 328 pages.
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