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Model transferability for improved preparedness against emerging tree diseases

Defra Network eTendering Portal Published 25 Jan 2019 Contracts Finder

key details

Value£70,000
Statuscomplete
Category (CPV) 73000000 +1 more
RegionNorth West
Deadline10 Jul 2018
Contract start7 May 2019
Contract end6 Nov 2022
SME suitableNo
OCIDocds-b5fd17-4bd34c3e-154d-4529-89eb-91baba485dee

Award

SupplierValueDateStatus
University of Salford £70,000 9 Jul 2018 active

description

Recent emerging tree diseases such Ash dieback in the UK (Hymenoscyphus fraxineus) have caused significant environmental and economic damage. Devastating new diseases, such as Xylella in Europe, are a constant threat. Models developed to inform policy about how best to address these threats are largely bespoke and the general characteristics of models which facilitate transferability have not been fully explored.

This PhD will use a range of modelling approaches to compare how predictions from models parameterised at one location perform in new locations, as well as across different disease species. Multiple model-performance criteria will be defined to test the impact of model transferability on the accuracy to estimate the outcome of different intervention strategies allowing for a quantification of the extent that transferability is possible in a way that is of direct relevance to DEFRA.

Additional information:

Please note that Defra procurement uses an E-tendering system for Procurement activities. This is currently provided by Bravo Solutions. To access appropriate tendering and contractual documents, please access the E-Tendering portal at https://defra.bravosolution.co.uk", ensuring that your registration includes "Defra". If you have any problems with this system, please contact Bravo on their telephone helpline number 0800 368 4850 or by emailing them at help@bravosolution.co.uk.

notice history

1 notice published against this procurement.

PublishedTypeRegimeNotice
25 Jan 2019 Award (award) · 2420fba6-9b85-41b1-aab1-2e55c4c72678-265895

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