1st workshop on Uncertainty Quantification and Data Assimilation in Numerical Simulation of Physical Systems for Risk-Informed Decision Making

Durham, 18–21 March 2013

The Department of Mathematical Sciences and the School of Engineering and Computing Sciences, Durham University, organize a workshop on uncertainty quantification and data assimilation in numerical simulation of physical systems for risk-informed decision making; in short, simulation for risk-informed decisions, or SIMRIDE. The workshop runs from Monday 18 March until Thursday 21 March 2013.

Key to solving many large industrial scale problems is to assimilate data along with real-time simulation of a physical system, along with uncertainty quantification to allow risk-informed decisions to be made. However, often these systems are highly non-linear and require vast computing power, which presents a serious challenge to assimilate data in real-time, and to quantify uncertainty bounds resulting from model uncertainty and measurement error.

A major aim of SIMRIDE is to facilitate the link between industry and academia. The workshop will consist of talks by people from both camps, with ample time for discussion in a relaxed environment. The themes of each day are as follows:

  • Monday: Risk & Decision (keynote by Simon Blake, ECS, UK)
  • Tuesday: Extreme Events (keynote by David Randell, Shell, UK)
  • Wednesday: Simulation (keynote by Michael Goldstein, Maths, Durham)
  • Thursday: Energy (keynote by Robert Jeffers, Idaho National Laboratory, US)

There will be a formal workshop dinner on Tuesday 19 March.

Everyone, including PhD students, is welcome to participate and/or to present their views.