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Julie Walsh

Accessible, revolutionary, and powerful

Reviewed in the United States on June 4, 2020

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I taught sections of this book in an undergraduate Ethics of Technology course this year. The students loved it. D'Ignazio and Klein do a wonderful job of making the content intelligible to an audience of novice learners without sacrificing depth and sophistication of content. I can imagine students and non-students alike benefiting from this book if they are interested in, among others, data science, philosophy, computer science, artificial intelligence, surveillance, history and sociology of science, feminist and intersectional theory. Data Feminism is a new term and this book is already the locus classicus for its elaboration. I couldn't recommend it more highly.

Elizabeth Dillon

Read this now!

Reviewed in the United States on April 2, 2020

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Brilliant, accessible, urgently needed book for understanding and reinventing our digitally constructed and constrained world. Klein and D'Ignazio's book spells out just how powerfully our world today is shaped by the hierarchies and biases (often anti-feminist and racist) built into the algorithms of the digital tools we use in all walks of life. But not to despair--they are equally inspiring about how these same tools can be taken in hand by all of us for the work of justice and equality. Written with passion and insight--a truly exciting and eye-opening read. I encourage everyone to read this and will be teaching it in my own (college-level) classes immediately.

Sourojit Ghosh

Beautiful read!

Reviewed in the United States on July 14, 2021

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This book was everything I thought it'd be!

Mr. DM Hansen

Top of some of the pages not cut when the book was made.

Reviewed in the United States on April 9, 2021

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I’m excited to read this book. Unfortunately, the top of the pages are not totally cut up to page 12. I can pull them apart because they are kind of perforated, but it’s a little disappointing.

Brooke Welles

Beautiful and brilliant, every data scientist needs to read this book.

Reviewed in the United States on July 8, 2020

This is the data science book I've been waiting for. In Data Feminism, D'Ignazio and Klein have integrated critical theory and technical know-how to produce actionable insights into how data science can be a force for good in the world. Many data scientists aim to improve the world with their work, yet struggle to understand how our structures, norms and, practices unintentionally replicate oppression. This book will help. Through a series of examples that are familiar and accessible (not to mention beautifully illustrated), D'Ignazio and Klein guide readers through the processes of recognizing, addressing, and ultimately dismantling oppressive data and technological systems. Furthermore, the Data Feminism is not theoretically reductive, nor does it ignore the technical specifics. Readers will walk away with new ways of looking at data science, as well as specific strategies they can implement in their work. I can't recommend this book highly enough. It is timely, smart, and should be required reading for any data scientist.

Elizabeth Bennet

User-Friendly Fusion of Data Science, Humanities, and Social Justice

Reviewed in the United States on March 29, 2020

This is an exciting event that I've been waiting for. Nothing about this is a predictable headline or sound bite, though it is as readable as feature-article journalism. The large-format book itself is beautifully illustrated and produced, and every chapter tells a fascinating, fully-researched story; the substance will surprise, and inspire further studies along these lines. Quite honestly I can imagine buying it as gifts and assigning it in courses at major or graduate level. The arguments of this book have already had an impact in research circles, where synthesizing and ground-breaking work like this has been much needed. I enjoy D'Ignazio's and Klein's insightful and effective writing.

Eric Gordon

Accessible and powerful explanation of how values are shaping data analysis and use

Reviewed in the United States on April 20, 2020

D'Ignazio and Klein provide an urgently important take on the role of data in society. Using feminism as a frame, they center values such as embodiment and contextualization in how data is collected, analyzed and visualized. While a lot of recent scholarship has brought to light the realities of bias in data collection and algorithms, this book goes a step further by presenting an actionable theoretical lens and concrete steps that can be taken to address these problems. I have already assigned this book to one of my graduate design classes, and will continue to read it and debate its virtues for years to come.

mb

Data Feminism in Practice

Reviewed in the United States on May 18, 2020

Data Feminism is the kind of text we need not only because of its content but also because of how it was produced. The authors’ attention to their own citational practices definitely embodies the data feminism the book describes. Data Feminism reflects the emergent principles it highlights. Not to mention it’s a beautiful book with stunning images that help tell the stories of amazing data feminist actions around the world. Such a pleasure to read and it got me fired up about data in a way I never expected.

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Aikaterini Mniestri

Eloquent and very informational

Reviewed in Germany on March 4, 2022

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I purchased this book for my research, the main concept of the book, the "matrix of domination" has been a majorly helpful concept. Also the examples given in the book are both clear and very informational.

Helena

food for thought

Reviewed in the United Kingdom on October 15, 2021

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A brilliant book. A must read for anybody working with, consuming or just interested in data.

Note that the authors define feminism very broadly and do not focus solely on issues of gender inequality. Feminism is conceptualised broadly in terms of equality, so the book discusses issues of gender, race, sexuality and power generally. Very well written, this is an engaging, straight to the point book filled with examples and lots of interesting data visualisations. Highly recommended.

KK

Interessantes Buch - auch für Anfänger*innen in Sachen Data science & Feminismus

Reviewed in Germany on February 22, 2021

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Ich LIEBE dieses Buch - super wichtiges Thema. Informatik und Data science werden auf sehr gute Art und Weise kombiniert und erläutert. Es ist schockierend zu lesen, ich kenne mich hinsichtlich biased AI etc. aus und trotzdem lernte ich noch sehr viel Neues und habe einen noch größeren Einblick in die Thematik bekommen - inklusive weiterer Einordnung

Regular Customer

Data Feminism is for everyone

Reviewed in Canada on May 15, 2021

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I learned so much about how point of view affects the data collected, used, and misued. I highly recommend reading this book.

IOANNIS P. KRONTIRIS

Best book I bought this year

Reviewed in Germany on August 13, 2020

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For me this book defines and establishes a new area. Maybe a few books exist already on this topic, but this one does it properly and in depth. I am quite slow in reading this book because every page is a revelation for me and it makes me go and research more about the ideas and facts presented.

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