Coverart for item
The Resource Computational social science : discovery and prediction, [edited by] R. Michael Alvarez, (electronic resource)

Computational social science : discovery and prediction, [edited by] R. Michael Alvarez, (electronic resource)

Label
Computational social science : discovery and prediction
Title
Computational social science
Title remainder
discovery and prediction
Statement of responsibility
[edited by] R. Michael Alvarez
Contributor
Editor
Subject
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
Assigning source
Provided by publisher
Cataloging source
UkCbUP
Index
index present
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorDate
1964-
http://library.link/vocab/relatedWorkOrContributorName
Alvarez, R. Michael
Series statement
  • Analytical methods for social research
  • Cambridge Social Sciences eBooks
http://library.link/vocab/subjectName
  • Social sciences
  • Social sciences
  • Social sciences
Label
Computational social science : discovery and prediction, [edited by] R. Michael Alvarez, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=https://doi.org/10.1017/CBO9781316257340
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
CR9781316257340
Dimensions
unknown
Extent
1 online resource (x, 327 pages)
Form of item
online
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781107107885
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file(s).
Specific material designation
remote
System control number
(OCoLC)944750887
Label
Computational social science : discovery and prediction, [edited by] R. Michael Alvarez, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=https://doi.org/10.1017/CBO9781316257340
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
CR9781316257340
Dimensions
unknown
Extent
1 online resource (x, 327 pages)
Form of item
online
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781107107885
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file(s).
Specific material designation
remote
System control number
(OCoLC)944750887

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