000			03096nmm a2200445 i 4500
001			410360299
003			UkMaC
005			20230120142845.0
006			m o d
007			cr cnu|||unuuu
008			191210s2020 mau o 000 0 eng d
020			_a9780262358521 (ebk)
020			_z9780262044004
035			_a(OCoLC)1130235839
035			_a(OCoLC-P)1130235839
035			_a(MaCbMITP)11805
035			_a(UkYoU)9958867394101381
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
050		4	_aHQ1190 _b.K375 2020eb
082	0	4	_a305.42 _223
100	0		_aKanarinka _eauthor.
245	1	0	_aData feminism / _cCatherine D'Ignazio and Lauren F. Klein.
264		1	_aCambridge, Massachusetts : _bThe MIT Press, _c[2020].
300			_a1 online resource (328 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aStrong ideas
506	0		_aOpen Access _fUnrestricted online access _2star
520			_aA 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.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aFeminism
650		0	_aFeminism and science
650		0	_aBig data _xSocial aspects.
650		0	_aQuantitative research _xMethodology _xSocial aspects.
650		0	_aPower (Social sciences)
700	1		_aKlein, Lauren F. _eauthor.
856	4	0	_uhttps://www.vlebooks.com/vleweb/product/openreader?id=WestLondon&accId=8832856&isbn=9780262358521 _zOpen e-book
942			_2ddc
999			_c82431 _d82431