Data Feminism Livres audio Audible – Version intégrale
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.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
Détails sur le produit
|Durée||7 heures et 37 minutes|
|Auteur||Catherine D'Ignazio, Lauren F. Klein|
|Date de publication sur Audible.fr||23 septembre 2020|
|Type de programme||Livre audio|
|Classement des meilleures ventes d'Amazon|| 50,856 en Livres et œuvres originales Audible (Voir les 100 premiers en Livres et œuvres originales Audible) |
191 en Histoire et culture de l'informatique
438 en Études de genre
4,711 en Femmes (Livres)
Meilleurs commentaires provenant d’autres pays
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.