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EPSRC Support by Research Area (Statistics and Applied Probability) in Theme (Digital Economy)

Research areas are used to describe EPSRC's portfolio of excellent long term research and high quality postgraduate training.

Grants are classified using one or more research areas. The number and value of grants listed below reflects how the theme portfolio is described by this research area.

Please note: some research areas will appear under multiple themes. There is no unique, absolute, relationship between a research area and a theme.

Grant TitlePrincipal
Investigator		OrganisationDepartmentTotal Grant
Value (£)
Big Hypotheses: A Fully Parallelised Bayesian Inference SolutionMaskell, Professor SUniversity of LiverpoolElectrical Engineering and Electronics 2,557,654
Data Science of the Natural EnvironmentLeslie, Professor DLancaster UniversityMathematics and Statistics 2,656,400
From Human Data to Personal ExperienceMcAuley, Professor DUniversity of NottinghamHorizon Digital Economy Research 4,062,954
Inference, COmputation and Numerics for Insights into Cities (ICONIC)Girolami, Professor MUniversity of CambridgeEngineering 2,333,668
PAMBAYESIAN: PAtient Managed decision-support using Bayesian networksFenton, Professor NQueen Mary University of LondonSch of Electronic Eng & Computer Science 1,538,497

Total Number of Grants: 5
Total Value of Grants: £13,149,174

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