Risk, evidence and decision making

Risk for the real world: in an increasingly complex world, our research is penetrating deep into how decisions on risk are made and how they are shaped by technological, social and cultural factors.

By drawing on our understanding of these factors, we can provide government and industry with better risk models and help influence policies resulting in better-informed decision making.

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Mapping wave power

Our scientists combine ancient history and computer modelling to predict coastal flood risk

Theme champion

Professor John McDermid, research champion for Risk, Evidence and Decision Making

John McDermid is a Professor of Software Engineering and a member of the High Integrity Systems Engineering Group (HISE) in the Department of Computer Science. His primary research interests are in high integrity computer systems, especially in safety and security.

He also leads the Assuring Autonomy International Programme.

Read more about Professor McDermid's vision for Risk, Evidence and Decision Making