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Elements of a computational infrastructure for social simulation.

Mark Birkin1, Rob Procter, Rob Allan

  • 1School of Geography, University of Leeds, UK. m.h.birkin@leeds.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|July 21, 2010
PubMed
Summary
This summary is machine-generated.

Social simulation modeling is expanding, requiring data access, analysis, and visualization. This study presents e-social science tools to integrate these for better research and policy-making.

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Area of Science:

  • Social Sciences
  • Computational Social Science
  • E-Social Science

Background:

  • Simulation modeling is increasingly used in social sciences.
  • Effective deployment requires data access, analysis, visualization, and sharing.
  • Current infrastructure challenges hinder widespread adoption and evidence reuse.

Purpose of the Study:

  • To describe e-social science applications promoting social simulation.
  • To demonstrate integrating data management and visualization with simulation.
  • To discuss building an e-infrastructure for social simulation.

Main Methods:

  • Described three e-social science applications.
  • Illustrated integration with a transport planning example.
  • Discussed infrastructure development and progress.

Main Results:

  • E-social science tools can enhance social simulation modeling.
  • Integration of data, analysis, and visualization is feasible.
  • Progress is being made towards a dedicated e-infrastructure.

Conclusions:

  • An e-infrastructure can significantly benefit social simulation research.
  • Combining data management, analysis, and visualization is key.
  • Further development is needed to fully realize the potential of e-social science.