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Finite Element Modelling of a Cellular Electric Microenvironment
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Published on: May 18, 2021

MoSeS: Modelling and Simulation for e-Social Science.

Paul Townend1, Jie Xu, Mark Birkin

  • 1School of Computing, University of Leeds, Leeds LS2 9JT, UK. p.m.townend@leeds.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|June 3, 2009
PubMed
Summary
This summary is machine-generated.

The Modelling and Simulation for e-Social Science (MoSeS) project uses e-Science to simulate UK demographic changes, projecting population trends 25 years ahead. This research details the simulation architecture, methods, and recent findings.

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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

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Published on: July 4, 2007

Area of Science:

  • Social Sciences
  • Computational Social Science
  • Demography

Background:

  • The National Centre for e-Social Science supports advanced computational research.
  • Modelling and Simulation for e-Social Science (MoSeS) is a key research node within this centre.
  • Accurate population projection is crucial for future planning.

Purpose of the Study:

  • To describe the architecture and simulation methodology of the MoSeS project.
  • To present the latest results from MoSeS's demographic simulations.
  • To demonstrate the application of e-Science techniques in social science research.

Main Methods:

  • Utilizing e-Science techniques for computational modelling.
  • Implementing an events-driven model for discrete demographic processes.
  • Projecting UK population dynamics over a 25-year timeframe.

Main Results:

  • Successful simulation of discrete demographic processes.
  • Generation of future UK population projections.
  • Validation of the MoSeS simulation architecture and methodology.

Conclusions:

  • MoSeS provides a robust framework for simulating future demographic scenarios.
  • The project highlights the potential of e-Science in advancing social science research.
  • The generated population projections offer valuable insights for policy and planning.