Data feminism

Enregistré dans:
Détails bibliographiques
Auteur principal: D'Ignazio, Catherine, 1975-
Autres auteurs: Klein, Lauren F., 19..-...., auteure en sciences sociales.
Support: E-Book
Langue: Anglais
Publié: Cambridge (Mass.) : MIT Press. C 2020.
Collection: Ideas series
Sujets:
Autres localisations: Voir dans le Sudoc
Résumé: 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. [D'après source : diffuseur]
Accès en ligne: Accès à l'E-book
Lien: Autre support: Data feminism
LEADER 03108nam a22003377a 4500
001 ebook-243779526
008 200505s2020 xxg ||| |||| 00| 0 eng d
020 |a 9780262358521 (édition électronique) 
041 0 |a eng 
100 1 |a D'Ignazio, Catherine,  |d 1975- 
245 1 0 |a Data feminism   |c Catherine D'ignazio and Lauren F. Klein. 
256 |a Données textuelles 
260 |a Cambridge (Mass.) :  |b MIT Press. 
260 |c C 2020. 
490 1 |a Ideas series 
500 |a Couverture  |u https://static.cyberlibris.com/books_upload/136pix/9780262358521.jpg 
500 |a Titre provenant de la page de titre du document numérique 
500 |a La pagination de l'édition imprimée correspondante est de 328 p. 
520 |a 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. [D'après source : diffuseur] 
538 |a Configuration requise : navigateur internet 
650 |a Féminisme et sciences 
650 |a Données massives  |x Recherche quantitative  |x Société 
650 |a Données massives  |x Recherche quantitative  |x Aspect moral 
650 |a Données massives  |x Pouvoir (sciences sociales) 
650 |a Discrimination sexuelle 
700 1 |a Klein, Lauren F.,  |d 19..-....,  |c auteure en sciences sociales.  |4 aut 
776 0 |0 249913887  |t Data feminism  |f Catherine d'Ignazio and Lauren F. Klein  |p 1 vol. (XII-314 p.)  |s Strong ideas 
856 4 |q HTML  |u https://srvext.uco.fr/login?url=https://univ.scholarvox.com/book/88881522  |z Accès à l'E-book  
993 |a E-Book 
994 |a BNUM 
995 |a 243779526