Lead Academic
Professor Bill Oxbury
Professor in Practice for MARS, Professor in Practice - Data and Cyber Research, Enterprise and EngagementMARS: Mathematics for AI in Real-world Systems
Building data-driven insight to secure supply chains, foresee systemic shocks, and safeguard critical resources for a resilient future.
Photo Credit: Christopher Furlong, Getty Images
Society is critically dependent on (usually just-in-time) supply chains for food and other critical resources. These are threatened, on varying time horizons, by:
Our premise is that supply chain resilience is a critical factor in national security and cannot be taken for granted. Our vision is to build, via interdisciplinary collaborations, a UK centre for data-driven supply chain modelling and forecasting that will help to inform policy makers and warn of systemic shocks at both national and global levels.
MARS: Mathematics for AI in Real-world Systems