Data Feminism

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 sur...

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Autori principali: D'Ignazio, Catherine, Klein, Lauren F.
Natura: Online
Lingua:inglese
Pubblicazione: The MIT Press 2022
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Accesso online:ONIX_20220221_9780262358521_104
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author D'Ignazio, Catherine
Klein, Lauren F.
author_browse D'Ignazio, Catherine
Klein, Lauren F.
author_facet D'Ignazio, Catherine
Klein, Lauren F.
author_sort D'Ignazio, Catherine
collection Directory of Open Access Books
description 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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spelling doab-20.500.12854ir-785842024-03-29T04:24:44Z Data Feminism D'Ignazio, Catherine Klein, Lauren F. non-binary genderqueer big data data science artificial intelligence emancipation #MeToo justice race class sexuality power intersectionality thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBS Social groups, communities and identities::JBSF Gender studies, gender groups::JBSF1 Gender studies: women and girls::JBSF11 Feminism and feminist theory thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBS Social groups, communities and identities::JBSF Gender studies, gender groups::JBSF3 Gender studies: ‘trans’, transgender people and gender variance thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society 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. 2022-02-21T15:12:34Z 2022-02-21T15:12:34Z 2020 book ONIX_20220221_9780262358521_104 9780262358521 9780262044004 https://directory.doabooks.org/handle/20.500.12854/78584 eng Strong Ideas image/jpeg n/a https://doi.org/10.7551/mitpress/11805.001.0001 The MIT Press The MIT Press 10.7551/mitpress/11805.001.0001 10.7551/mitpress/11805.001.0001 ae0cf962-f685-4933-93d1-916defa5123d 9780262358521 9780262044004 The MIT Press 328 Cambridge open access
spellingShingle non-binary
genderqueer
big data
data science
artificial intelligence
emancipation
#MeToo
justice
race
class
sexuality
power
intersectionality
thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBS Social groups, communities and identities::JBSF Gender studies, gender groups::JBSF1 Gender studies: women and girls::JBSF11 Feminism and feminist theory
thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBS Social groups, communities and identities::JBSF Gender studies, gender groups::JBSF3 Gender studies: ‘trans’, transgender people and gender variance
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society
D'Ignazio, Catherine
Klein, Lauren F.
Data Feminism
title Data Feminism
title_full Data Feminism
title_fullStr Data Feminism
title_full_unstemmed Data Feminism
title_short Data Feminism
title_sort data feminism
topic non-binary
genderqueer
big data
data science
artificial intelligence
emancipation
#MeToo
justice
race
class
sexuality
power
intersectionality
thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBS Social groups, communities and identities::JBSF Gender studies, gender groups::JBSF1 Gender studies: women and girls::JBSF11 Feminism and feminist theory
thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBS Social groups, communities and identities::JBSF Gender studies, gender groups::JBSF3 Gender studies: ‘trans’, transgender people and gender variance
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society
topic_facet non-binary
genderqueer
big data
data science
artificial intelligence
emancipation
#MeToo
justice
race
class
sexuality
power
intersectionality
thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBS Social groups, communities and identities::JBSF Gender studies, gender groups::JBSF1 Gender studies: women and girls::JBSF11 Feminism and feminist theory
thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBS Social groups, communities and identities::JBSF Gender studies, gender groups::JBSF3 Gender studies: ‘trans’, transgender people and gender variance
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society
url ONIX_20220221_9780262358521_104
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