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Elements of a computational infrastructure for social simulation
Author(s) -
Mark Birkin,
Rob Procter,
Rob Allan,
Sean Bechhofer,
Iain Buchan,
Carole Goble,
Andrew HudsonSmith,
Paul Lambert,
David De Roure,
Richard Sinnott
Publication year - 2010
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2010.0145
Subject(s) - software deployment , computer science , data science , visualization , social simulation , context (archaeology) , management science , software engineering , engineering , data mining , artificial intelligence , paleontology , biology
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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