Management scienceRisk & uncertainty

We develop methods to structure problems, enabling sound decision-making and effective risk mitigation. Whether it is modelling the reliability of emerging technologies, managing systemic risks, applying foresight to anticipate future challenges, or designing structured approaches to expert judgement, our research advances decision-making under uncertainty in complex environments.

By integrating problem structuring, statistical modelling, probabilistic reasoning, and foresight analysis with stakeholder engagement, we connect near-term risk assessment with longer-term planning. This cohesive approach helps industry, government, and communities make informed choices that improve safety, resilience, and long-term outcomes.