Computational social science : discovery and prediction

Resource Information

The work Computational social science : discovery and prediction represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.

Label

Computational social science : discovery and prediction

Title remainder

discovery and prediction

Statement of responsibility

R. Michael Alvarez

Creator

• Alvarez, R. Michael, 1964-

Editor

• Alvarez, R. Michael, 1964-

Subject

• Social sciences -- Data processing
• Social sciences -- Mathematical models
• Social sciences -- Methodology

Language

eng

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.--

Member of

• Computational social science (Cambridge University Press)
• Analytical methods for social research

Assigning source

Provided by publisher

Cataloging source

DLC

Index

index present

Literary form

non fiction

Nature of contents

bibliography

Series statement

Analytical methods for social research