This talk will describe the Climate Resilience Demonstrator project, which ran under the National Digital Twin programme in 2021-2, and since then has been hosted by Connected Places Catapult and supported by the energy and water industries. As well as describing the specific project and use case, this will also be used as a basis for describing a wide range of issues in practical decision support modelling, including interoperability of data and models between organisations; uncertainty management in complex systems; modelling with limited conventional data; and deployment at enterprise scale within organisations.

Chris Dent is Professor of Industrial Mathematics at the University of Edinburgh, and a Fellow at the Alan Turing Institute. He has broad interests across energy and infrastructure analysis, climate resilience, and decision support in public policy. He currently works on a number of industrial innovation projects, and holds a KE Catalyst grant from the International Centre for Mathematical Sciences to support the Global Power System Transformation consortium with their research agenda in system planning, control rooms, and AI. In 2021-2  he was Technical Lead for the National Digital Twin programme Climate Resilience Demonstrator. As well as working in a School of Mathematics, he is also a Chartered Engineer.