Computational Social Science: Discovery and Prediction - Couverture rigide

Couverture rigide

ISBN 10 : 1107107881 ISBN 13 : 9781107107885

Editeur : Cambridge University Press, 2016

Synopsis

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.

A propos du livre

À propos de l'auteur

R. Michael Alvarez is a Professor of Political Science at the California Institute of Technology. He is a Fellow of the Society for Political Methodology. He is the coeditor of Political Analysis and of the Cambridge University Press series, Analytical Methods for Social Science. He recently coauthored, with Lonna Rae Atkeson and Thad E. Hall, Evaluating Elections: A Handbook of Methods and Standards. He is also codirector of the Caltech/MIT Voting Technology Project.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2016
• Langue: anglais
• ISBN 10: 1107107881
• ISBN 13: 9781107107885
• Reliure: Relié
• Nombre de pages: 312
• Éditeur: Alvarez R. Michael
• Coordonnées du fabricant: non disponible
• Personne responsable: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; France