| EPSRC Reference: |
EP/Y028880/1 |
| Title: |
A national UK programme in AI and digital twins to address the biodiversity and climate crisis |
| Principal Investigator: |
Hosking, Dr JS |
| Other Investigators: |
| Fry, Mr MJ |
Roy, Dr DB |
Shaddick, Professor G |
| Whitaker, Dr K |
Baker, Professor C |
Choudhary, Dr R |
| Mallon, Dr A |
Blower, Dr J |
Schlarb-Ridley, Dr B G |
| Daub, Dr E |
Bernardini, Professor S |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Research |
| Organisation: |
The Alan Turing Institute |
| Scheme: |
Standard Research |
| Starts: |
01 April 2023 |
Ends: |
31 March 2024 |
Value (£): |
5,000,000
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Summary on Grant Application Form |
The Alan Turing Institute (Turing), in collaboration with national labs, will lead a nationwide effort to develop and launch novel methods in AI and digital twinning technologies that improve the UK's effectiveness in addressing environment and sustainability (E&S) concerns. Turing has identified four long-term E&S missions: 1) automate biodiversity monitoring to enable nature recovery; 2) deliver localised environmental predictions to mitigate the impacts of climate change; 3) optimise infrastructure for sustainable use of natural resources; and 4) model interventions to achieve sustainable cities and regions for a net zero world. The proposed programme will bring together a diverse group of UK leaders and experts in AI, environment, sustainability and policy to refine these missions, develop an ambitious national 5-year roadmap and undertake transformative environmental research and innovation to avert climate and biodiversity catastrophe.
Such complex challenges necessitate a blend of advanced analytical skills working in conjunction with environmental scientists across various sub-disciplines. Here, AI and data science act as the binding agent that unifies these diverse teams, and Turing serves as the central hub for UK-wide inclusive activities, leveraging its past ASG seeded research activities with partners. Specifically, this will involve collaboration with national laboratories to establish and augment our collective understanding, which will include: British Antarctic Survey (BAS), UK Centre for Ecology & Hydrology (UK CEH), Centre for Environment, Fisheries and Aquaculture Science (Cefas), National Oceanography Centre (NOC), UK Met Office, and Rothamsted Research.
The work is separated into the following workstreams (WS):
WS1: E&S Mission Scoping with UK research and practitioner communities
- WS1.1: Deep stakeholder mapping and engagement to develop, refine and launch the E&S Missions.
- WS1.2: Capacity-building to support E&S delivery
- WS1.3: Nurturing a national community of research and best practice
WS2: Scaling-up game-changing environmental research from the Turing's AI for Science and Government programme
- WS2.1: Intelligent fusion of sensor data bridging global and local scales
- WS2.2: Digital Twins of Controlled Environment Agriculture
- WS2.3: Automated shape analysis and tracking within imagery
- WS2.4: Reproducible environmental pipelines for digital twins
- WS2.5: Foster an open international environmental data science community
WS3: Establishing physics informed data-driven national capability in weather prediction
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
https://www.turing.ac.uk |