The main objective of this project was 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. Accordingly, the project aimed to foster and facilitate collaboration between UCL, the Netherlands eScience Center, and other UK/NL-based institutes working at the forefront of research into early warning systems. This project was funded by UCL ARC’s International Collaborations Funding Call: “Fostering International Collaborations in Digital Research”.
The project outputs are:
· A EGU paper https://doi.org/10.5194/egusphere-egu24-15738,
· Organizing two workshops – one in the UK and another in the Netherlands. See the “Workshop on Digital Twins for Disaster Early Warning Systems“ presentations at https://zenodo.org/communities/dt4ews
The outputs of this project provides insights and strategies for addressing the needs of the research communities engaged in employing emerging technologies and systems such as digital twins.
