![[Review] Data Feminism (Catherine D'Ignazio) Summarized.](https://episodes.castos.com/660078c6833215-59505987/images/2680141/c1a-085k3-xxx4pj16s01-atgkyv.jpg)
Show Notes
Data Feminism (Catherine D'Ignazio)
- Amazon USA Store: https://www.amazon.com/dp/026254718X?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Data-Feminism-Catherine-D%26%23039%3BIgnazio.html
- Apple Books: https://books.apple.com/us/audiobook/data-feminism/id1641639338?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
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- Read more: https://english.9natree.com/read/026254718X/
#intersectionaldataanalysis #missingdatapolitics #ethicaldatavisualization #communityexpertise #dataaccountability #DataFeminism
Data Feminism, written by Catherine D'Ignazio and Lauren F. Klein, is a nonfiction work of critical data studies and data visualization ethics. It argues that data is never merely raw material or neutral evidence: decisions about what is counted, categorized, collected, analyzed, and displayed are shaped by institutions and unequal social power. Drawing on intersectional feminism, the book offers a framework for confronting those inequalities rather than treating them as technical side issues. Its purpose is not to attach a superficial diversity checklist to analytics. Instead, it asks practitioners, researchers, journalists, educators, and public institutions to reconsider the goals, assumptions, and consequences of data work. The authors connect feminist theory to practical questions about datasets, visual communication, labor, knowledge, and accountability. They also challenge the conventional story that more data and more advanced computation automatically produce better decisions. By foregrounding the experiences and expertise of people most affected by data systems, Data Feminism presents data practice as a political and ethical activity that can either reproduce hierarchy or help expose and contest it.
- Amazon USA Store: https://www.amazon.com/dp/026254718X?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Data-Feminism-Catherine-D%26%23039%3BIgnazio.html
- Apple Books: https://books.apple.com/us/audiobook/data-feminism/id1641639338?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Data+Feminism+Catherine+D+039+Ignazio+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/026254718X/
#intersectionaldataanalysis #missingdatapolitics #ethicaldatavisualization #communityexpertise #dataaccountability #DataFeminism
Data Feminism, written by Catherine D'Ignazio and Lauren F. Klein, is a nonfiction work of critical data studies and data visualization ethics. It argues that data is never merely raw material or neutral evidence: decisions about what is counted, categorized, collected, analyzed, and displayed are shaped by institutions and unequal social power. Drawing on intersectional feminism, the book offers a framework for confronting those inequalities rather than treating them as technical side issues. Its purpose is not to attach a superficial diversity checklist to analytics. Instead, it asks practitioners, researchers, journalists, educators, and public institutions to reconsider the goals, assumptions, and consequences of data work. The authors connect feminist theory to practical questions about datasets, visual communication, labor, knowledge, and accountability. They also challenge the conventional story that more data and more advanced computation automatically produce better decisions. By foregrounding the experiences and expertise of people most affected by data systems, Data Feminism presents data practice as a political and ethical activity that can either reproduce hierarchy or help expose and contest it.
