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Data Feminism (Strong Ideas) Hardcover – March 17, 2020

by Catherine D'Ignazio (Author), Lauren F. Klein (Author)
4.8 4.8 out of 5 stars 260 ratings
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A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.

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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  1. Part of series
    Strong Ideas
  2. Print length
    328 pages
  3. Language
    English
  4. Publisher
    The MIT Press
  5. Publication date
    March 17, 2020
  6. Dimensions
    8.31 x 0.93 x 9.31 inches
  7. ISBN-10
    0262044005
  8. ISBN-13
    978-0262044004
  9. See all details
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Editorial Reviews

Review

This feminist approach understands that data are shaped by and through particular power relations, while its objective is to facilitate the design of data systems that are inclusive, responsive to community needs and geared towards improving people's lives. Data feminism, in short, reclaims datasets and systems as social justice resources for communities.― Times Higher Education

"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 Magazine

About the Author

Catherine D'Ignazio is Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT.Lauren F. Klein is Associate Professor of English and Quantitative Theory & Methods at Emory University.

Product details

  • Publisher ‏ : ‎ The MIT Press (March 17, 2020)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 328 pages
  • ISBN-10 ‏ : ‎ 0262044005
  • ISBN-13 ‏ : ‎ 978-0262044004
  • Item Weight ‏ : ‎ 2.3 pounds
  • Dimensions ‏ : ‎ 8.31 x 0.93 x 9.31 inches
  • Customer Reviews:
    4.8 4.8 out of 5 stars 260 ratings

About the authors

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  1. Catherine D'Ignazio

    Catherine D'Ignazio

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    Full content visible, double tap to read brief content.

    Catherine D’Ignazio is Associate Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT. She is also Director of the Data + Feminism Lab which uses data and computational methods to work towards gender and racial justice. D’Ignazio is a scholar, artist/designer and hacker mama who focuses on feminist technology, data literacy and civic engagement. She has run reproductive justice hackathons, designed global news recommendation systems, created talking and tweeting water quality sculptures, and led walking data visualizations to envision the future of sea level rise.

    More:

    https://dusp.mit.edu/people/catherine-dignazio

    http://dataplusfeminism.mit.edu

    http://www.kanarinka.com

    See more on the author's page
  2. Lauren F. Klein

    Lauren F. Klein

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    Full content visible, double tap to read brief content.

    Lauren F. Klein is associate professor in the Departments of English and Quantitative Theory & Methods at Emory University.

    See more on the author's page
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Customers find the book's content relevant and important for understanding digital transformation. They describe it as an exciting, eye-opening read that is accessible to novices. The book is written with passion and insight, making it an engaging and informative read.

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Customers find the book's content relevant and important. They appreciate its depth and sophistication, saying it's a brilliant, accessible, and urgently needed book for understanding digital intelligence, surveillance, history, and sociology of science.

"very relevant and important book" Read more

"Brilliant, accessible, urgently needed book for understanding and reinventing our digitally constructed and constrained world...." Read more

"...computer science, artificial intelligence, surveillance, history and sociology of science, feminist and intersectional theory...." Read more

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Customers find the book easy to read and understandable for novices. They appreciate the author's passion and insights.

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"...D'Ignazio and Klein do a wonderful job of making the content intelligible to an audience of novice learners without sacrificing depth and..." Read more

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Top reviews from the United States

  • lizeth
    5.0 out of 5 stars must read
    Reviewed in the United States on February 21, 2024
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    very relevant and important book
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  • Elizabeth Dillon
    5.0 out of 5 stars Read this now!
    Reviewed in the United States on April 2, 2020
    Verified Purchase
    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.
    5 people found this helpful
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  • Julie Walsh
    5.0 out of 5 stars Accessible, revolutionary, and powerful
    Reviewed in the United States on June 4, 2020
    Verified Purchase
    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.
    7 people found this helpful
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  • Sourojit Ghosh
    5.0 out of 5 stars Beautiful read!
    Reviewed in the United States on July 14, 2021
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    This book was everything I thought it'd be!
    One person found this helpful
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  • Brooke Welles
    5.0 out of 5 stars 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.
    4 people found this helpful
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  • Elizabeth Bennet
    5.0 out of 5 stars 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.
    2 people found this helpful
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  • mb
    5.0 out of 5 stars 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.
    3 people found this helpful
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  • Eric Gordon
    5.0 out of 5 stars 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.
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  • Huda
    5.0 out of 5 stars Interesting
    Reviewed in the United Kingdom on January 7, 2025
    Verified Purchase
    Great book
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  • Regular Customer
    5.0 out of 5 stars Data Feminism is for everyone
    Reviewed in Canada on May 15, 2021
    Verified Purchase
    I learned so much about how point of view affects the data collected, used, and misued. I highly recommend reading this book.
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  • Aikaterini Mniestri
    5.0 out of 5 stars Eloquent and very informational
    Reviewed in Germany on March 4, 2022
    Verified Purchase
    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.
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  • Helena
    5.0 out of 5 stars food for thought
    Reviewed in the United Kingdom on October 15, 2021
    Verified Purchase
    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.
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  • KK
    5.0 out of 5 stars Interessantes Buch - auch für Anfänger*innen in Sachen Data science & Feminismus
    Reviewed in Germany on February 22, 2021
    Verified Purchase
    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
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