Elements of a computational infrastructure for social simulation.

Journal article

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.

Authors: Birkin, M; Procter, R; Allan, R; Bechhofer, S; Buchan, I

• Journal: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
• Volume: 368
• Issue: 1925
• Pages: 3797-3812
• Publication date: 2010-08-01
• DOI: 10.1098/rsta.2010.0145
• EISSN: 1471-2962
• ISSN: 1364-503X
• Language: English
• Keywords: Humans; Models, Biological; Motivation; Social Sciences; Great Britain; Risk Assessment; Computer Simulation; Social Behavior; Transportation