Model transferability for improved preparedness against emerging tree diseases
key details
| Value | £70,000 |
|---|---|
| Status | complete |
| Category (CPV) | 73000000 +1 more |
| Region | North West |
| Deadline | 10 Jul 2018 |
| Contract start | 7 May 2019 |
| Contract end | 6 Nov 2022 |
| SME suitable | No |
| OCID | ocds-b5fd17-4bd34c3e-154d-4529-89eb-91baba485dee |
Award
| Supplier | Value | Date | Status |
|---|---|---|---|
| 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.
| Published | Type | Regime | Notice |
|---|---|---|---|
| 25 Jan 2019 | Award (award) | · | 2420fba6-9b85-41b1-aab1-2e55c4c72678-265895 |
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source
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