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EPSRC Support by Socio-economic Theme in Data-Enabled Decision Making

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
OrganisationDepartmentTotal Grant
Value (£)
Bayesian Non-Parametric Test for Conditional IndependenceFilippi, Dr SLImperial College LondonDept of Mathematics 100,731
Isaac Newton Institute for Mathematical SciencesAbrahams, Professor IDUniversity of CambridgeIsaac Newton Institute (Math Science) 11,570,267
Learning Sparse Features from 4D fMRI Data for Brain Disease DiagnosisLu, Dr HUniversity of SheffieldComputer Science 100,730
Provably Secure Decisions Based on Potentially Malicious Trust RatingsMuller, Dr T J CUniversity of OxfordComputer Science 92,902
RealPDBs: Realistic Data Models and Query Compilation for Large-Scale Probabilistic DatabasesLukasiewicz, Professor TUniversity of OxfordComputer Science 781,286

Total Number of Grants: 5
Total Value of Grants: £12,645,916

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