Elements of a computational infrastructure for social simulation

Author:

Birkin Mark1,Procter Rob2,Allan Rob3,Bechhofer Sean4,Buchan Iain5,Goble Carole4,Hudson-Smith Andy6,Lambert Paul7,De Roure David8,Sinnott Richard9

Affiliation:

1. School of Geography, University of Leeds, UK

2. School of Social Sciences, University of Manchester, UK

3. Science and Technology Facilities Council, Daresbury Laboratory, UK

4. School of Computer Science, University of Manchester, UK

5. School of Medicine, University of Manchester, UK

6. Centre for Applied Spatial Analysis, University College London, UK

7. Applied Social Science, University of Stirling, UK

8. School of Electronics and Computer Science, University of Southampton, UK

9. National e-Science Centre, University of Glasgow, UK

Abstract

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.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

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