Details of Grant 

EPSRC Reference:	EP/V02678X/1
Title:	Turing AI Fellowship: Machine Learning Foundations of Digital Twins
Principal Investigator:	Damoulas, Professor T
Other Investigators:
Researcher Co-Investigators:
Project Partners:	Cervest Limited Greater London Authority (GLA) Met Office Microsoft
Department:	Computer Science
Organisation:	University of Warwick
Scheme:	EPSRC Fellowship - NHFP
Starts:	01 January 2021	Ends:	31 December 2025	Value (£):	1,272,145
EPSRC Research Topic Classifications:	Artificial Intelligence
EPSRC Industrial Sector Classifications:	Environment
Related Grants:
Panel History:	Panel Date Panel Name Outcome 06 Oct 2020 Turing AI Acceleration Fellowship Interview Panel C Announced
Summary on Grant Application Form
The proposed programme of research will establish the machine learning foundations and artificial intelligence methodologies for Digital Twins. Digital Twins are digital representations of real-world physical phenomena and assets, that are coupled with the corresponding physical twin through instrumentation and live data and information flows. This research programme will establish next-generation Digital Twins that will enable decision makers to perform accurate but simulated "what-if" scenarios in order to better understand the real world phenomena and improve overall decision making and outcomes.
Key Findings
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Potential use in non-academic contexts
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Impacts
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk Summary Date Materialised
Sectors submitted by the Researcher
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Project URL:
Further Information:
Organisation Website:	http://www.warwick.ac.uk