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 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.
Birkin
Mark
M
School of Geography, University of Leeds, UK. m.h.birkin@leeds.ac.uk
Procter
Rob
R
Allan
Rob
R
Bechhofer
Sean
S
Buchan
Iain
I
Goble
Carole
C
Hudson-Smith
Andy
A
Lambert
Paul
P
De Roure
David
D
Sinnott
Richard
R
D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D009042:Motivation; D018570:Risk Assessment; D012919:Social Behavior; D012942:Social Sciences / Q000639:trends; D014186:Transportation; D006113:United Kingdom