Risk Modelling and Management
System failure, System integrity, Risk management, Decision making under uncertainty
We are interested in understanding the causes of system failure, whether technical, organisational, or the result of individual error. Although many failures are blamed on individuals, there is usually a systemic failure at the heart of the problem. We study major failures like the Challenger and Columbia shuttle disasters and accidents at nuclear power stations like Chernobyl and Three Mile Island to understand the conditions under which technological failures are likely to occur. We also study the factors that lead to robust or high integrity systems.
We are also interested in tools and methodologies for decision making under uncertainty. A common question, for example, is whether to embark upon a research and development project which has unclear payoffs. We use a range of modelling techniques such as decision trees (right) to calculate the costs and benefits of different decisions with uncertain outcomes.