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![Page 1: School of Geography FACULTY OF ENVIRONMENT The Elements of a Computational Infrastructure for Social Simulation Mark Birkin 1, Rob Allan 2, Sean Beckhofer.](https://reader030.fdocuments.us/reader030/viewer/2022032612/56649ec45503460f94bcf06c/html5/thumbnails/1.jpg)
School of GeographyFACULTY OF ENVIRONMENT
The Elements of a Computational Infrastructure for Social Simulation
Mark Birkin1, Rob Allan2, Sean Beckhofer3, Iain Buchan4, June Finch5, Carole Goble3, Andy Hudson-Smith6, Paul
Lambert7, Rob Procter5, David de Roure8, Richard Sinnott9
[1] School of Geography, University of Leeds [2] STFC, Daresbury [3] School of Computer Science, University of Manchester [4] School of Medicine, University of Manchester
[5] School of Social Sciences, University of Manchester [6] Centre for Applied Spatial Analysis, UCL[7] Applied Social Science, University of Stirling [8] Electronics and Computer Science, University of
Southampton [9] NeSC, University of Glasgow
6649386
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Simulation of Epidemics
Ferguson et al, Nature, 2006
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The El Farol Bar Problem
Everyone wants to go the bar
- unless it’s too crowded!
Must relax neoclassical economic assumptions (homogeneity of preferences, simultaneous decision-making)
Individual actors/ agent-based decision-making
- generic template for real markets
heterogeneous
out of equilibrium
(Arthur, 1994)
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Public Policy
Source: MAPS2030
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2001 2031
2015
* Traffic Intensity=Traffic load/Road capacity
0
0.1
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0.5
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1.0
Traffic Intensity *
Transport…
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Social Simulation
Applications
Economics, geography, sociology
Health sciences, politics, anthropology
Methods
Agent-based models
Microsimulation
Impact
Theory to policy
Analysis, projection, forecasting, scenarios
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Features of social simulation
Widespread data requirements
Plug-and-play simulation and analysis components
Visualise complex outcomes
Computationally demanding
Need to reproduce and share results with a community of users
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Rationale for NeISS
Growing demand for social simulation models
Critical mass in NCeSS
International collaboration with solid foundations
Ongoing innovation
Leverage existing investments in computation and data
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NeISS Architecture
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NeISS Architecture
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NeISS Architecture
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NeISS Architecture
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NeISS Portal
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NeISS Portal
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School of GeographyFACULTY OF ENVIRONMENT
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Conclusion
NeISS will:
Combine research lifecycle elements within a unified social simulation infrastructure
Leverage skills and relationships from the UK e-social science programme (NCeSS)
Build user communities in both public policy and academia