000			02317cam a22003138i 4500
001			21273441
005			20211011161329.0
010			_a 2019036137
020			_a9780262044004
040			_aLBSOR/DLC _beng _erda _cDLC _dDLC
042			_apcc
050	0	0	_aHQ1190 _b.D574 2020
082	0	0	_a305.42
100	1		_aD'Ignazio, Catherine _eauthor _929233
245	1	0	_aData feminism
260			_aCambridge, Massachusetts; _bThe MIT Press, _c2020.
300			_a314 p.
490	0		_aStrong ideas series
520			_a"We have seen through many examples that data science and artificial intelligence can reinforce structural inequalities like sexism and racism. Data is power, and that power is distributed unequally. This book offers a vision for a feminist data science that can challenge power and work towards justice. This book takes a stand against a world that benefits some (including the authors, two white women) at the expense of others. It seeks to provide concrete steps for data scientists seeking to learn how feminism can help them work towards justice, and for feminists seeking to learn how their own work can carry over to the growing field of data science. It is addressed to professionals in all fields where data-driven decisions are being made, as well as to communities that want to better understand the data that surrounds them. It is written for everyone who seeks to better understand the charts and statistics that they encounter in their day-to-day lives, and for everyone who seeks to better communicate the significance of such charts and statistics to others. This is an example-driven book written with a broad audience of scholars, students, and practitioners in mind. It offers a way of thinking about data, both their uses and their limits, that is informed by direct experience, by a commitment to action, and by the ideas associated with intersectional feminist thought"--
650		0	_aFeminism. _929234
650		0	_aFeminism and science. _929235
650		0	_aBig data _xSocial aspects. _929236
650		0	_aQuantitative research _xMethodology _xSocial aspects. _929237
650		0	_aPower (Social sciences) _97939
700	1		_aKlein, Lauren F. _eauthor _929238
906			_a7 _brip _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cNFIC
955			_bLBSOR 2019-10-19
999			_c12496 _d12496