Digital Twins for Early Warning Systems

The main objective of this project is to explore and understand the intricacies and challenges involved in developing digital twins for disaster early warning and risk mitigation, which dynamically learn from (near) real-time data and predict impacts for effective and timely early actions. The output of this project will provide insights and strategies for addressing the needs of the research communities engaged in employing emerging technologies and systems such as digital twins. This project is funded by UCL ARC’s International Collaborations Funding Call: “Fostering International Collaborations in Digital Research”.