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EPSRC Support by Socio-economic Theme in Digital Economy: Beyond a Data-Driven Economy

EPSRC classifies the research it supports by socio-economic theme. This taxonomy has been used to classify all grants current on 1st January 2003 or received after this date.

Please note that the assignment of a theme to a grant indicates that the theme may apply in whole or in part to the research activity of that grant. This means that the values of grants within a classification should not be totalled to find the total investment in that area or to compare investment between areas of research. The value shown for each grant is always the total awarded, not the proportion attributed to the individual socio-economic theme.

Grant TitlePrincipal
Investigator
OrganisationDepartmentTotal Grant
Value (£)
Business Model Innovation for Intelligent Automation: Unpacking the Productivity ParadoxVelu, Professor CUniversity of CambridgeEngineering 1,268,022
Collective Risk Learning for Supply Chain Disruption PreparednessBrintrup, Dr AUniversity of CambridgeEngineering 438,572
DIGITAhmed-Kristensen, Professor SUniversity of ExeterBusiness and Management 3,699,962
EPSRC Centre for Doctoral Training in Web Science InnovationHall, Professor Dame WUniversity of SouthamptonSch of Electronics and Computer Sci 3,680,056
Horizon: Trusted Data-Driven ProductsKoleva, Professor BUniversity of NottinghamHorizon Digital Economy Research 4,075,506
NAfANE: New Approaches for Approximate Nash EquilibriaDeligkas, Dr ARoyal Holloway, Univ of LondonComputer Science 500,163
Pro2 Network+: From Prototyping to Production of Digital DevicesFraser, Professor MCUniversity of BristolComputer Science 2,659,015

Total Number of Grants: 7
Total Value of Grants: £16,321,295

The grant value may include the cost of access to facilities (these funds are not awarded to the grant holding organisation).