000			01635 a2200229 4500
005			20181217132619.0
008			181211b xxu||||| |||| 00| 0 eng d
020			_a9781107107885
040			_cIIT Kanpur
041			_aeng
082			_a300.285 _bC739
245			_aComputational social science _cedited by R. Michael Alvarez _bdiscovery and prediction
260			_bCambridge University Press _c2016 _aNew York
300			_ax, 327p
440			_aAnalytical methods for social research
520			_aQuantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy
650			_aSocial sciences -- Data processing
650			_aSocial sciences -- Mathematical models
650			_aSocial sciences -- Methodology
700			_aAlvarez, R. Michael [ed.]
942			_cBK
999			_c559863 _d559863