Computational social science : discovery and prediction
Contributor(s): Alvarez, R. Michael [ed.].
Series: Analytical methods for social research. Publisher: New York Cambridge University Press 2016Description: x, 327p.ISBN: 9781107107885.Subject(s): Social sciences -- Data processing | Social sciences -- Mathematical models | Social sciences -- MethodologyDDC classification: 300.285 | C739 Summary: Quantitative 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| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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PK Kelkar Library, IIT Kanpur | General Stacks | 300.285 C739 (Browse shelf) | Available | A184075 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
| 300.182 K634e Experimental design | 300.28 Sh47 MULTIDIMENSIONAL SCALING | 300.28 V55i INTRODUCTION TO SCALING | 300.285 C739 Computational social science | 300.285 N739e Exploratory social network analysis with pajek | 300.285536 W439s COMPUTER PROGRAMS FOR QUALITATIVE DATA ANALYSIS | 300.2855369 B113A5 ADVENTURES IN SOCIAL RESEARCH |
Quantitative 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
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