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Details of Award

NERC Reference : NE/X016471/1

Robust ESG data for biodiversity: towards a spatially-sensitive approach to Sustainable Finance

Grant Award

Principal Investigator:
Professor R Pywell, UK Centre for Ecology & Hydrology, Biodiversity (Wallingford)
Science Area:
Terrestrial
Overall Classification:
Unknown
ENRIs:
Biodiversity
Science Topics:
Machine Learning (AI)
Artificial Intelligence
Socially Responsible Investment
Sustainability Management
Biodiversity monitoring
Survey & Monitoring
Abstract:
This project seeks to construct an interdisciplinary expert and stakeholder community to uncover and pilot using 'discoverable' data to construct a usable and scientifically rigorous biodiversity dataset. To achieve that, the project will be led by the Oxford Sustainable Finance Group, in partnership with WCMC and Catapult, in four key stages: Stage One: Network building Stage Two: construction of a strawman for integrating biodiversity in ESG metrics Stage Three: Testing and revising the strawman Stage Four: White Paper, Next Steps and Capacity Building The project will result in: (1) a community of committed stakeholders; (2) a concept note of use cases of biodiversity metrics, existing data and capacity availability and gaps; (3) a tested blueprint of what a biodiversity finance database would look like; (4) an agreed-upon plan of next steps forward.
Period of Award:
3 Jan 2023 - 31 Mar 2024
Value:
£3,975 Split Award
Authorised funds only
NERC Reference:
NE/X016471/1
Grant Stage:
Completed
Scheme:
NC&C NR1
Grant Status:
Closed
Programme:
Nature Positive

This grant award has a total value of £3,975  

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FDAB - Financial Details (Award breakdown by headings)

Indirect - Indirect CostsDI - StaffDA - Estate CostsDI - T&S
£945£2,261£315£453

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