Elements of a computational infrastructure for social simulation.

Applications of simulation modelling in social science domains are varied and increasingly widespread. The effective deployment of simulation models depends on access to diverse datasets, the use of analysis capabilities, the ability to visualize model outcomes and to capture, share and re-use simul...

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Main Authors: Birkin, M, Procter, R, Allan, R, Bechhofer, S, Buchan, I, Goble, C, Hudson-Smith, A, Lambert, P, De Roure, D, Sinnott, R
Format: Journal article
Language:English
Published: 2010
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author Birkin, M
Procter, R
Allan, R
Bechhofer, S
Buchan, I
Goble, C
Hudson-Smith, A
Lambert, P
De Roure, D
Sinnott, R
author_facet Birkin, M
Procter, R
Allan, R
Bechhofer, S
Buchan, I
Goble, C
Hudson-Smith, A
Lambert, P
De Roure, D
Sinnott, R
author_sort Birkin, M
collection OXFORD
description Applications of simulation modelling in social science domains are varied and increasingly widespread. The effective deployment of simulation models depends on access to diverse datasets, the use of analysis capabilities, the ability to visualize model outcomes and to capture, share and re-use simulations as evidence in research and policy-making. We describe three applications of e-social science that promote social simulation modelling, data management and visualization. An example is outlined in which the three components are brought together in a transport planning context. We discuss opportunities and benefits for the combination of these and other components into an e-infrastructure for social simulation and review recent progress towards the establishment of such an infrastructure.
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spelling oxford-uuid:07b0e118-986d-4559-82a9-f01294c86d922022-03-26T09:08:59ZElements of a computational infrastructure for social simulation.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:07b0e118-986d-4559-82a9-f01294c86d92EnglishSymplectic Elements at Oxford2010Birkin, MProcter, RAllan, RBechhofer, SBuchan, IGoble, CHudson-Smith, ALambert, PDe Roure, DSinnott, RApplications of simulation modelling in social science domains are varied and increasingly widespread. The effective deployment of simulation models depends on access to diverse datasets, the use of analysis capabilities, the ability to visualize model outcomes and to capture, share and re-use simulations as evidence in research and policy-making. We describe three applications of e-social science that promote social simulation modelling, data management and visualization. An example is outlined in which the three components are brought together in a transport planning context. We discuss opportunities and benefits for the combination of these and other components into an e-infrastructure for social simulation and review recent progress towards the establishment of such an infrastructure.
spellingShingle Birkin, M
Procter, R
Allan, R
Bechhofer, S
Buchan, I
Goble, C
Hudson-Smith, A
Lambert, P
De Roure, D
Sinnott, R
Elements of a computational infrastructure for social simulation.
title Elements of a computational infrastructure for social simulation.
title_full Elements of a computational infrastructure for social simulation.
title_fullStr Elements of a computational infrastructure for social simulation.
title_full_unstemmed Elements of a computational infrastructure for social simulation.
title_short Elements of a computational infrastructure for social simulation.
title_sort elements of a computational infrastructure for social simulation
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