{"product_id":"data-feminism-isbn-9780262547185","title":"Data Feminism","description":"\u003cb\u003eCutting edge strategies for thinking about data science and data ethics through an intersectional feminist lens.\u003cbr\u003e\u003cbr\u003e“Without ever finger-wagging, \u003ci\u003eData Feminism\u003c\/i\u003e reveals inequities and offers a way out of a broken system in which the numbers are allowed to lie.”—\u003ci\u003eWIRED\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eToday, 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. \u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eData Feminism\u003c\/i\u003e, 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.”\u003cbr\u003e\u003cbr\u003e\u003ci\u003eData Feminism\u003c\/i\u003e 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 \u003ci\u003eData Feminism\u003c\/i\u003e 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.Acknowledgments ix\u003cbr\u003eIntroduction: Why Data Science Needs Feminism 1\u003cbr\u003e1 The Power Chapter 21\u003cbr\u003ePrinciple: Examine Power\u003cbr\u003e2 Collect, Analyze, Imagine, Teach 49\u003cbr\u003ePrinciple: Challenge Power\u003cbr\u003e3 On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints 73\u003cbr\u003ePrinciple: Elevate Emotion and Embodiment\u003cbr\u003e4 \"What Gets Counted Counts\" 97\u003cbr\u003ePrinciple: Rethink Binaries and Hierarchies\u003cbr\u003e5 Unicorns, Janitors, Ninjas, Wizards, and Rock Stars 125\u003cbr\u003ePrinciple: Embrace Pluralism\u003cbr\u003e6 The Numbers Don't Speak for Themselves 149\u003cbr\u003ePrinciple: Consider Context\u003cbr\u003e7 Show Your Work 173\u003cbr\u003ePrinciple: Make Labor Visible\u003cbr\u003eConclusion: Now Let's Multiply 203\u003cbr\u003eOur Values and Our Metrics for Holding Ourselves Accountable 215\u003cbr\u003eAuditing \u003ci\u003eData Feminism\u003c\/i\u003e, by Isabel Carter 223\u003cbr\u003eAcknowledgment of Community Organizations 225\u003cbr\u003eFigure Credits 227\u003cbr\u003eNotes 235\u003cbr\u003eName Index 303\u003cbr\u003eSubject Index 307“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.”\u003ci\u003e\u003cbr\u003e —\u003cb\u003e\u003ci\u003eWIRED\u003cbr\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/i\u003e\"Anyone who works with data—and all scientists do, of course—will benefit from reading this book. But the readers who may gain the most from it are those who are trying to use data in the public interest. Data Feminism does such a good job of integrating theories and projects across several fields that it will likely become a touchstone for teaching data science that goes beyond data ethics.\"\u003ci\u003e\u003cbr\u003e \u003ci\u003e—\u003cb\u003eAmerican Scientist\u003c\/b\u003e\u003cbr\u003e\u003c\/i\u003e\u003cbr\u003e \u003c\/i\u003e“...the authors' demystification of data science and advocacy for data feminism are extremely timely. The book also serves as an important introduction to intersectional feminist practice by providing inspiring examples of marginalized women and communities taking power back by collecting and wielding “counter-data” to challenge the status quo.”\u003ci\u003e\u003cbr\u003e—\u003cb\u003e\u003ci\u003eTimes Higher Education\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/i\u003e\"This call to action is especially important as issues of power and privilege continue to re-create inequalities in contemporary society.\"\u003ci\u003e\u003cbr\u003e—\u003cb\u003eCHOICE\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e“‘Data Feminism\u003c\/i\u003e is a powerful call to action for everyone who cares about how technology reflects and reproduces social hierarchies and injustices. Brilliantly argued, engagingly written, and collaboratively crafted, this groundbreaking work enacts a feminist politics of knowledge production that will serve as a guide for generations to come.”\u003cbr\u003e —\u003cb\u003eRuha Benjamin, Princeton University; author of \u003ci\u003eRace after Technology\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e \u003ci\u003e \u003c\/i\u003e\u003cbr\u003e \u003ci\u003e“Data Feminism\u003c\/i\u003e is an exceptional and entertaining primer for data scientists to understand essential ethical concepts like power, inequality, gender, and race.”\u003cbr\u003e —\u003cb\u003eDJ Patil, Head of Technology at Devoted Health, Inc., Former U.S. Chief Data Scientist\u003c\/b\u003e\u003cbr\u003e  \u003cbr\u003e “If you want to build a foundation in data ethics and data justice, \u003ci\u003eData Feminism\u003c\/i\u003e is a must-read. D'Ignazio and Klein have written a remarkable book that defines the kind of critical, intersectional feminist thinking we need right now. I can think of no better entry point to understand digital technology and its impact on society than \u003ci\u003eData Feminism\u003c\/i\u003e, which amplifies so many important ideas we need to act upon. This book is a major contribution in defining what biased and harmful data is, and more importantly, what we can do about it.”\u003cbr\u003e —\u003cb\u003eSafiya Umoja Noble, UCLA; author of \u003ci\u003eAlgorithms of Oppression: How Search Engines Reinforce Racism\u003c\/i\u003e and coeditor of \u003ci\u003eThe Intersectional Internet: Race, Sex, Class and Culture Online\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e \u003ci\u003e \u003c\/i\u003e\u003cbr\u003e “Most thinking about data science and data visualization tends to focus on statistics and technique. D'Ignazio and Klein take us out of that daze, opening our eyes to the realities that lie behind every data set: its motivation, its biases, and its existence in a harshly unequal world. Required reading for data scientists looking to conduct their craft responsibly.”\u003cbr\u003e \u003cb\u003e—Fernanda Viégas. Senior Researcher, co-leader at People + AI Research, Google\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e \u003ci\u003e“Data Feminism \u003c\/i\u003ebelongs on the shelf with \u003ci\u003eAlgorithms of Oppression \u003c\/i\u003eas required reading for understanding historical patterns of oppression and society’s current\u003ci\u003e \u003c\/i\u003eobsession with data-driven decision\u003ci\u003e \u003c\/i\u003emaking.”\u003cbr\u003e\u003cbr\u003e \u003cb\u003e–\u003ci\u003eRGWS: A Feminist Review\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003eModern Language Association Prize for Collaborative, Bibliographical, or Archival Scholarship, 2022.\u003c\/b\u003eCatherine D'Ignazio is Assistant Professor of Urban Science and Planning at MIT and coauthor of \u003ci\u003eData Feminism\u003c\/i\u003e (MIT Press).\u003cbr\u003e\u003cbr\u003eLauren F. Klein is Associate Professor of English and Quantitative Theory and Methods at Emory University.","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46300686221541,"sku":"NP9780262547185","price":32.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262547185.jpg?v=1767724744","url":"https:\/\/k12savings.com\/es\/products\/data-feminism-isbn-9780262547185","provider":"K12savings","version":"1.0","type":"link"}