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.
[Xem chi tiết]I. THÔNG TIN SẢN PHẨM
Mã sản phẩm : STT705
Nhà xuất bản: The MIT Press (March 17, 2020)
Tác giả : Catherine D'Ignazio, Lauren F. Klein
Ngôn Ngữ : Tiếng Anh
ISBN : 0262044005
Số trang : 328 pages
Hình thức : Bìa Mềm, IN ĐEN TRẮNG
Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.
II. MÔ TẢ SẢN PHẨM
1.Mô tả sản phẩm
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.
2. Tác giả
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.
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Tư vấn nhiệt tình : Giải đáp mọi yêu cầu của khách hàng nhanh chóng.
Uy tín - Chất lượng : Bán hàng bằng cả trái tim.
Giá luôn luôn tốt : Giá luôn thấp nhất thị trường.