Computational Social Science: Discovery and Prediction (Analytical Methods for Social Research)

R Michael Alvarez

ISBN 10: 1107518415 / ISBN 13: 9781107518414

Verlag: Cambridge University Press, 2016

Beschreibung

Picture Shown is For Illustration Purposes Only, Please See Below For Further DetailsCONDITION ? VERY GOOD - PAPERBACKlight wear and scuff marks to cover, pages in nice condition, shipped from the UK.

Bestandsnummer des Verkäufers 330/DITD/570P 414

Bibliografische Details

• Titel: Computational Social Science: Discovery and Prediction (Analytical Methods for Social Research)
• Verlag: Cambridge University Press
• Erscheinungsjahr: 2016
• Sprache: Englisch
• ISBN-10: 1107518415
• ISBN-13: 9781107518414
• Einband: Softcover
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.