
Data Feminism
- Author Catherine D'Ignazio, Lauren F. Klein
- Narrator Teri Schnaubelt
- Publisher Tantor Media, Inc
- Run Time 7 hours and 37 minutes
- Format Audio
- Genre Computing and Information Technology, Data capture and analysis, Data science and analysis: general, Digital and information technologies: social and ethical aspects, Feminism and feminist theory, Gender studies: women and girls, Information technology: general topics, Social discrimination and equal treatment, Society and culture: general, Society and Social Sciences.
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What to expect
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.
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