Overview
I joined the Medical School in September 2014 to work within PenCHORD as a modeller. My key role is to apply mathematical optimisation techniques to improve the efficiency and quality of healthcare systems. I am currently investigating how different configurations of hospitals within the South West region, which offer Emergency and Urgent Care, have an impact on the regions patients. Prior to joining PenCHORD, I gained a Mathematics and Sports Science BSc degree from Birmingham University and pursued my enjoyment of Operational Research at Silsoe Research Institute and Cranfield University, applying mathematical modelling techniques to optimise agricultural systems.
Publications
Key publications | Publications by category | Publications by year
Publications by category
Journal articles
Holman IP, Rounsevell MDA, Cojacaru G, Shackley S, McLachlan C, Audsley E, Berry PM, Fontaine C, Harrison PA, Henriques C, et al (2008). The concepts and development of a participatory regional integrated assessment tool.
CLIMATIC CHANGE,
90(1-2), 5-30.
Author URL.
Audsley E, Pearn K, Harrison PA, Berry PM (2008). The impact of future socio-economic and climate changes on agricultural land use and the wider environment in East Anglia and North West England using a metamodel system.
Climatic Change: an interdisciplinary, international journal devoted to the description, causes and implications of climatic change,
90, 57-88.
Abstract:
The impact of future socio-economic and climate changes on agricultural land use and the wider environment in East Anglia and North West England using a metamodel system
This paper describes a procedure to use amodel interactively to investigate future land use by studying a wide range of scenarios defining climate, technological and socio-economic changes. A full model run of several hours has been replaced by a metamodel version which takes a few seconds, and provides the user with an immediate visual output and with the ability to examine easily which factors have the greatest effect. The Regional Impact Simulator combines a model of agricultural land use choices linked with models of urban growth, flooding risk, water quality and consequences for wildlife to estimate plausible futures of agricultural land on a timescale of 20–50 years. The model examines the East Anglian and North West regions of the United Kingdom at a grid resolution of 5 × 5 km, and for each scenario estimates the most likely cropping and its profitability at each location, and classifies land use as arable, intensive or extensive grassland or abandoned. From a modelling viewpoint the metamodel approach enables iteration. It is thus possible to determine how product prices change so that production meets demand. The results of the study show that in East Anglia cropping remains quite stable over a wide range of scenarios, though grassland is eliminated in scenarios with the 2050s High climate scenario – almost certainly due to the low yield in the drier conditions. In the North West there is a very much greater range of outcomes, though all scenarios suggest a reduction in grassland with the greatest in the 2050s High climate scenario combined with the “Regional Stewardship” (environmental) socio-economic scenario. The effects of the predicted changes in land use on plant species showed suitability for species to vary greatly, particularly between the socio-economic scenarios, due to detrimental effects from increases in nitrogen fertilisation. A complete simulation with the Regional Impact Simulator takes around 15 seconds (computer-dependent), which users who responded felt was adequate or better than adequate. The main areas for future improvement, such as the speed of the system, user interaction and the accuracy and detail of the modelling, are considered.
Abstract.
Audsley E, Pearn KR, Simota C, Cojocaru G, Koutsidou E, Rounsevell MDA, Trnka M, Alexandrov V (2006). What can scenario modelling tell us about future European scale agricultural land use, and what not?.
ENVIRONMENTAL SCIENCE & POLICY,
9(2), 148-162.
Author URL.
Conferences
Pearn K, Manzi S, Winterton L (2018). Visualisation of the service use for individual clients with a Personality Disorder at Devon Partnership Trust to support clinical decision making. ORAHS 2018. 30th Jul - 3rd Aug 2018.
Abstract:
Visualisation of the service use for individual clients with a Personality Disorder at Devon Partnership Trust to support clinical decision making
Abstract.
Full text.
Publications by year
2018
Pearn K, Manzi S, Winterton L (2018). Visualisation of the service use for individual clients with a Personality Disorder at Devon Partnership Trust to support clinical decision making. ORAHS 2018. 30th Jul - 3rd Aug 2018.
Abstract:
Visualisation of the service use for individual clients with a Personality Disorder at Devon Partnership Trust to support clinical decision making
Abstract.
Full text.
2008
Holman IP, Rounsevell MDA, Cojacaru G, Shackley S, McLachlan C, Audsley E, Berry PM, Fontaine C, Harrison PA, Henriques C, et al (2008). The concepts and development of a participatory regional integrated assessment tool.
CLIMATIC CHANGE,
90(1-2), 5-30.
Author URL.
Audsley E, Pearn K, Harrison PA, Berry PM (2008). The impact of future socio-economic and climate changes on agricultural land use and the wider environment in East Anglia and North West England using a metamodel system.
Climatic Change: an interdisciplinary, international journal devoted to the description, causes and implications of climatic change,
90, 57-88.
Abstract:
The impact of future socio-economic and climate changes on agricultural land use and the wider environment in East Anglia and North West England using a metamodel system
This paper describes a procedure to use amodel interactively to investigate future land use by studying a wide range of scenarios defining climate, technological and socio-economic changes. A full model run of several hours has been replaced by a metamodel version which takes a few seconds, and provides the user with an immediate visual output and with the ability to examine easily which factors have the greatest effect. The Regional Impact Simulator combines a model of agricultural land use choices linked with models of urban growth, flooding risk, water quality and consequences for wildlife to estimate plausible futures of agricultural land on a timescale of 20–50 years. The model examines the East Anglian and North West regions of the United Kingdom at a grid resolution of 5 × 5 km, and for each scenario estimates the most likely cropping and its profitability at each location, and classifies land use as arable, intensive or extensive grassland or abandoned. From a modelling viewpoint the metamodel approach enables iteration. It is thus possible to determine how product prices change so that production meets demand. The results of the study show that in East Anglia cropping remains quite stable over a wide range of scenarios, though grassland is eliminated in scenarios with the 2050s High climate scenario – almost certainly due to the low yield in the drier conditions. In the North West there is a very much greater range of outcomes, though all scenarios suggest a reduction in grassland with the greatest in the 2050s High climate scenario combined with the “Regional Stewardship” (environmental) socio-economic scenario. The effects of the predicted changes in land use on plant species showed suitability for species to vary greatly, particularly between the socio-economic scenarios, due to detrimental effects from increases in nitrogen fertilisation. A complete simulation with the Regional Impact Simulator takes around 15 seconds (computer-dependent), which users who responded felt was adequate or better than adequate. The main areas for future improvement, such as the speed of the system, user interaction and the accuracy and detail of the modelling, are considered.
Abstract.
2006
Audsley E, Pearn KR, Simota C, Cojocaru G, Koutsidou E, Rounsevell MDA, Trnka M, Alexandrov V (2006). What can scenario modelling tell us about future European scale agricultural land use, and what not?.
ENVIRONMENTAL SCIENCE & POLICY,
9(2), 148-162.
Author URL.
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