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Advanced Research Computing

Modelling and Simulation

From innovative product design and development in manufacturing to the analysis of complex sociotechnical systems to prescriptive analytics for decision making, the crucial role of Modelling and Simulation technologies is now firmly established. Simulation is also rapidly becoming a critical tool for conducting research in all domains of science and increasingly those in social science and the arts and humanities. It is now widely acknowledged that modelling and simulation is the third pillar of scientific discovery, alongside theory and experimentation. Durham has internationally leading research in modelling and simulation. Areas of focus include:

  • Computational Science and Scientific Computing
  • Distributed Simulation
  • Large Scale Distributed Simulation (HLA) and Distributed Virtual Environments
  • Agent Based Modelling for Complex Adaptive Systems
  • Multi-scale modelling and model interoperability
  • Info-symbiotic Systems - Dynamic Data Driven Application Systems
  • System-of-Systems simulation approaches for contextual, holistic analytics.