- Publisher: Cambridge University Press
- Online publication date: March 2016
- Print publication year: 2016
- Online ISBN: 9781316257340
- DOI: https://doi.org/10.1017/CBO9781316257340
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.
Nathaniel Beck - New York University
James Fowler - University of California, San Diego
danah boyd - Microsoft Research and Founder, Data and Society
Jeff Jonas - IBM Fellow
* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.
Usage data cannot currently be displayed