000			02575cam a2200349 i 4500
001			9442157
003			CaAEU
005			20250617082326.0
008			200401s2020 enka b 001 0 eng
010			_a 2020002293
020			_a9781509539277 _qhardback
020			_a9781509539284 _qpaperback
020			_z9781509539291 _qepub
020			_z9781509544202 _qadobe pdf
035			_aon1144485849
040			_aDLC _beng _erda _cDLC _dOCLCO _dYDX _dBDX _dOCLCQ _dOCLCF _dAEKC
041			_aEnglish
042			_apcc
050	0	0	_aHM511 _b.L56 2020
100			_aLindgren, Simon, _eauthor. _925482
245	1	0	_aData theory _b: interpretive sociology and computational methods _c/ Simon Lindgren.
264		1	_aCambridge ; _aMedford, MA : _bPolity, _c2020.
300			_a198 pages : _billustrations (black and white) ; _c22 cm
504			_aIncludes bibliographical references and index.
505	0		_aBeyond Method — Decoding Social Forms — Unintended Consequences — Actor-Networks — Collective Representations — Symbolic Power — Theoretical I/O.
520			_aThe datafication of our world offers huge challenges and opportunities for social science. The ‘data-drivenness’ of computational research can occur at the expense of theoretical reflection and interpretation. Additionally, it can be difficult to reconcile the ‘quantitative’ dimensions of big data with the ‘qualitative’ sensibilities needed for its understanding. At the same time, this opens up possibilities for reimagining key principles of social inquiry. In this experimental and provocative book, Simon Lindgren argues that a hybrid approach to data and theory must be developed in order to make sense of today's ambivalent, turbulent, and media-saturated political landscape. He pushes for the development of a critical science of data, joining the interpretive theoretical and ethical sensibilities of social science with the predictive and prognostic powers of data science and computational methods. In order for theories and research methods to be more useful and relevant, they must be dismantled and put together in new, alternative, and unexpected ways. Data Theory is essential reading for social scientists and data scientists, as well as students taking courses in social theory and data, digital methods, big data, and data and society. _cProvided by publisher.
650		0	_aSociology _xMethodology. _911151
650		0	_a Sociology _xResearch.
650		0	_aSociology _xStatistical methods.
650		0	_aSocial sciences _xMethodology _99432
942			_2lcc
999			_c4754 _d4754