{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/FT250100199"},"data":{"type":"grant-details","id":"FT250100199","attributes":{"code":"FT250100199","administering-organisation":"The University of Sydney","announcement-administering-organisation":"The University of Sydney","scheme-name":"ARC Future Fellowships","grant-status":"Active","funding-commencement-year":2025,"years-funded":4,"project-start-date":"2026-01-01","anticipated-end-date":"2029-12-31","grant-summary":"Dimension-robust and dynamical uncertainty quantification for digital twins. This project aims to develop new, mathematically grounded uncertainty quantification tools to manage stochastic interactions between digital twins and large-scale physical systems, enabling tighter integration of models, data, and decisions. This project expects to advance theory and algorithms of measure transport, creating new sequential inverse problem solvers to update digital twins and reliable risk estimators to support decisions driving these systems. It will develop novel dimension reduction methods to make these algorithms scalable. This should be significantly beneficial for Australian industries by providing accurate, cost-efficient tools for predicting and managing the dynamic behaviour of physical systems using digital twins.","funding-current":1131213.00,"funding-at-announcement":1107368,"investigators-current":[{"title":"Dr","firstName":"Tiangang","familyName":"Cui","roleName":"Future Fellowship","roleCode":"FT","isFellowship":true,"orcidIdentifier":"0000-0002-4840-8545 "}],"investigators-at-announcement":[{"title":"Dr","firstName":"Tiangang","familyName":"Cui","roleName":"Future Fellowship","roleCode":"FT","isFellowship":true,"orcidIdentifier":"0000-0002-4840-8545 "}],"organisations-current":[{"organisationName":"The University of Sydney","roleName":"Administering Organisation","state":"NSW"}],"organisations-at-announcement":[{"organisationName":"The University of Sydney","roleName":"Administering Organisation","state":"NSW"}],"field-of-research":[{"isPrimary":true,"code":"4903","name":"Numerical and Computational Mathematics","type":"FOR20"},{"isPrimary":false,"code":"490302","name":"Numerical Analysis","type":"FOR20"},{"isPrimary":false,"code":"490399","name":"Numerical and Computational Mathematics Not Elsewhere Classified","type":"FOR20"}],"socio-economic-objective":[{"code":"280118","name":"Expanding Knowledge In the Mathematical Sciences","type":"SEO20"}],"international-collaboration":["England","France","Germany","New Zealand","United States of America"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"Digital twins create virtual representations of natural or engineered systems, dynamically update these virtual models with incomplete observations to make predictions, and simultaneously guide decisions that drive their physical counterparts. Digital twins hold great promise for accelerating scientific discovery and revolutionising industries by enabling real-time monitoring, reliable predictions, and informed decisions. Australia has a wide range of applications that rely on such capabilities, including natural resource exploration, personalised healthcare, sustainable groundwater management, and bushfire risk mitigation. This project aims to develop cutting-edge mathematical tools to address key algorithmic gaps in integrating data, models, and decisions in digital twin technology. The anticipated outcomes will enable tighter coupling between digital twins and their physical counterparts, with enhanced prediction and risk assessment capabilities. These innovations will greatly support the digital transformation of many Australian industries, facilitating the adoption of digital twins for advanced applications in healthcare, natural resources, ecology, aerospace, environmental management, and beyond. To maximise impact beyond academia, open-source software will be developed to foster collaboration with Australian industries. In addition, research outcomes will be shared with a general audience via public seminars and forums."}}}