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Paper ID: 1603

MOSES: Modelling and Simulation for e-Social Science
Mark H,Birkin Haibo,Chen Martin C,Clarke Peter M,Dew Justin,Keen Philip H,Rees Jie,Xu

Appeared in: Proceedings of the UK e-Science All Hands Conference 2005 website: http://www.allhands.org.uk/2005/
Page Numbers:
Publisher: Engineering and Physical Sciences Research Council
Year: 2005
ISBN/ISSN: 1-904425-53-4
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2005/proceedings/papers/341.pdf

Abstract: This poster describes an e-Social Science research programme at the University of Leeds with a specific focus on Modelling and Simulation (MOSES – Modelling and Simulation for e-Social Science). The cornerstone of the programme is the creation of a dynamic simulation model of the UK population, represented as a series of richly disaggregated individuals and households. We aim to use the power of e-Science Technologies to deliver a complete representation of the population which draws on attributes from a diverse portfolio of databases. The simulation model will be applied to address research questions in three social science domains, relating to healthcare policy and practice, transport & environmental sustainability, and the business impacts of socio-demographic change.

Keywords: e-Science, AHM 2005


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