02504cam a2200325 i 45000010008000000030006000080050017000140080041000310100017000720200028000890200029001170200024001460200029001700350017001990400060002160410012002760420008002880500021002961000030003172450089003472640047004363000058004835040051005415050162005925201301007546500028020556500026020836500036021096500033021459442157CaAEU20250617082326.0200401s2020    enka     b    001 0 eng    a  2020002293  a9781509539277qhardback  a9781509539284qpaperback  z9781509539291qepub  z9781509544202qadobe pdf  aon1144485849  aDLCbengerdacDLCdOCLCOdYDXdBDXdOCLCQdOCLCFdAEKC  aEnglish  apcc00aHM511b.L56 2020  aLindgren, Simon,eauthor.10aData theory b: interpretive sociology and computational methods c/ Simon Lindgren. 1aCambridge ;aMedford, MA :bPolity,c2020.  a198 pages :billustrations (black and white) ;c22 cm  aIncludes bibliographical references and index.0 aBeyond Method — Decoding Social Forms — Unintended Consequences — Actor-Networks — Collective Representations — Symbolic Power — Theoretical I/O.  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. 0aSociologyxMethodology. 0a SociologyxResearch. 0aSociologyxStatistical methods. 0aSocial sciencesxMethodology