ADD-TREES: AI-elevated Decision-support via Digital Twins for Restoring and Enhancing Ecosystem Services
Lead Research Organisation:
UNIVERSITY OF EXETER
Department Name: Mathematics
Abstract
The UK's ambitions to achieve Net Zero by 2050 depend critically on large-scale greenhouse gas removal (GGR) that can offset emissions from difficult-to-decarbonise sectors. Capturing carbon in growing trees represents the only GGR technology that can be scaled up immediately and at relatively low cost to meet that requirement. As such, in the Environment Act (2021) the UK government committed to ambitious and legally-binding targets for the rapid expansion of UK woodland. Over the next few years, significant decisions must be made regarding where to plant half a million hectares of trees, decisions that will shape the UK countryside for generations to come.
Deciding where to plant trees, which species to plant and when to plant them is complicated. How much GGR a particular woodland expansion strategy realises depends on a myriad of factors including how planting impacts on soil carbon stocks, how different tree species respond to spatially-varying environmental conditions under a changing climate and the vulnerability of planted trees to pests and disease. To complicate things further, in most cases new woodlands will be established on farmland. So planting comes at the cost of lost food production. That is important not only to landowners who are unlikely to consider planting trees unless compensated for lost farm income but also to policy makers who may have concerns over UK food security. Moreover, land use underpins a variety of important ecosystem services. Decisions over where to plant trees has significant implications for, amongst other things, flood mitigation, water quality, pollination, biodiversity and human health.
The capacity to unravel that complexity and inform decision making, exists in the sophisticated science and socio-economic models developed by the academic community. Those models can simulate tree growth and GGR across the UK under climate change. They can estimate farm income changes from tree-planting and predict uptake of policy packages incentivising such land use change. They can even identify the impacts of tree planting on the flows of a whole array of ecosystems services. Unfortunately, these state-of-the-art models may take days to run and require expertise and specialist software that is simply not available to the diverse collection of policy makers and land managers engaged in tree-planting decisions. The central objective of this project is to bridge that gap, leveraging AI technologies to provide bespoke, AI-generated decision support tools that synthesise and present the information contained within state-of-the-art models in ways that can properly inform policy and planting decisions.
Delivering this vision requires the embedding of existing AI technologies into the models themselves, allowing those models to be automatically scaled to the spatial and temporal resolution that best suits some particular decision problem. In addition, AI methods will be used to automatically build and link fast-running emulators of those scientific models. Powering decision-support tools with this AI-generated, fast-running modelling capacity will provide users with unprecedented capabilities to explore in real time tree-planting decisions and their numerous consequences. We will deliver co-designed tools to our project partners at Defra, National Trust, Forestry England, the Ministry of Defence, the National Forest Company, Network Rail and Woodland Trust. Moreover, our AI methods will ensure that this modelling technology is accessible to all landowners and policy makers engaged in tree-planting decisions. Configured through simple interfaces, the AI will assemble bespoke decision-support tools shaped and scaled to the exact decision needs of any user. Through this project the knowledge embedded in the science community's latest modelling and data will be transferred into the hands of the users that will shape the UK's Net Zero contribution from trees.
Deciding where to plant trees, which species to plant and when to plant them is complicated. How much GGR a particular woodland expansion strategy realises depends on a myriad of factors including how planting impacts on soil carbon stocks, how different tree species respond to spatially-varying environmental conditions under a changing climate and the vulnerability of planted trees to pests and disease. To complicate things further, in most cases new woodlands will be established on farmland. So planting comes at the cost of lost food production. That is important not only to landowners who are unlikely to consider planting trees unless compensated for lost farm income but also to policy makers who may have concerns over UK food security. Moreover, land use underpins a variety of important ecosystem services. Decisions over where to plant trees has significant implications for, amongst other things, flood mitigation, water quality, pollination, biodiversity and human health.
The capacity to unravel that complexity and inform decision making, exists in the sophisticated science and socio-economic models developed by the academic community. Those models can simulate tree growth and GGR across the UK under climate change. They can estimate farm income changes from tree-planting and predict uptake of policy packages incentivising such land use change. They can even identify the impacts of tree planting on the flows of a whole array of ecosystems services. Unfortunately, these state-of-the-art models may take days to run and require expertise and specialist software that is simply not available to the diverse collection of policy makers and land managers engaged in tree-planting decisions. The central objective of this project is to bridge that gap, leveraging AI technologies to provide bespoke, AI-generated decision support tools that synthesise and present the information contained within state-of-the-art models in ways that can properly inform policy and planting decisions.
Delivering this vision requires the embedding of existing AI technologies into the models themselves, allowing those models to be automatically scaled to the spatial and temporal resolution that best suits some particular decision problem. In addition, AI methods will be used to automatically build and link fast-running emulators of those scientific models. Powering decision-support tools with this AI-generated, fast-running modelling capacity will provide users with unprecedented capabilities to explore in real time tree-planting decisions and their numerous consequences. We will deliver co-designed tools to our project partners at Defra, National Trust, Forestry England, the Ministry of Defence, the National Forest Company, Network Rail and Woodland Trust. Moreover, our AI methods will ensure that this modelling technology is accessible to all landowners and policy makers engaged in tree-planting decisions. Configured through simple interfaces, the AI will assemble bespoke decision-support tools shaped and scaled to the exact decision needs of any user. Through this project the knowledge embedded in the science community's latest modelling and data will be transferred into the hands of the users that will shape the UK's Net Zero contribution from trees.
Organisations
- UNIVERSITY OF EXETER (Lead Research Organisation)
- Forestry England (Project Partner)
- National Trust (Project Partner)
- Woodland Trust (Project Partner)
- Department for Environment Food and Rural Affairs (Project Partner)
- The National Forest Company (Project Partner)
- British Army (Project Partner)
- Network Rail (Project Partner)
Publications

Argles APK
(2023)
Modelling the impact of forest management and CO2-fertilisation on growth and demography in a Sitka spruce plantation.
in Scientific reports

Bateman IJ
(2024)
How to make land use policy decisions: Integrating science and economics to deliver connected climate, biodiversity, and food objectives.
in Proceedings of the National Academy of Sciences of the United States of America

Hourdin F
(2023)
Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections
in Science Advances

Ming D
(2023)
Linked Deep Gaussian Process Emulation for Model Networks
in arXiv
Description | Land Use for Net Zero Hub (LUNZ Hub) Ian Bateman |
Amount | £6,500,000 (GBP) |
Funding ID | E003616-00 |
Organisation | United Kingdom Research and Innovation |
Sector | Public |
Country | United Kingdom |
Start | 11/2023 |
End | 02/2027 |
Description | Understanding the Value of Outdoor Culture and Heritage Capital for Decision Makers |
Amount | £388,017 (GBP) |
Funding ID | AH/Y000404/1 |
Organisation | Arts & Humanities Research Council (AHRC) |
Sector | Public |
Country | United Kingdom |
Start | 08/2023 |
End | 02/2026 |
Title | NetZeroPlus Prototype Land Use Decision Support System |
Description | A prototype decision support system to enable co-design discussion with project partners and collaborators of one or more decision support systems to support decisions around land use, land use change, GGR potential, and help visualise the benefits/challenges of a variety of scenario presented (cost, amount of carbon stored, biodiversity gain/loss, etc) |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2023 |
Provided To Others? | Yes |
Impact | Given policy makers and large land owners a space to discuss how they make land use decisions, and how they might do so in future. Potential to revolutionise government decision making - and support large land owners with making decisions in conjunction with each other, rather than in isolation. This could allow them to make decisions about woodland expansion together, greatly increasing the impact by for example creating green/nature corridors. |
Title | ADD-TREES Tree Planting Elicitor App (Digital Twin Generator) |
Description | A tool generated in an 'app' format to allow project partners to select criteria that they would wish to include in a bespoke digital twin of their land holdings to enable tree planting decision making. The tool allows them to: - select UK land parcels that they own/manage - select the criteria that they would like to be able to explore within a digital twin - select any metrics/targets within their organisation which a desirable decision would need to meet The prototype app has shared with core project partners (Army, Forestry England, MoD, Defra, National Trust, National Forest Company, Eftec) for beta testing and feedback. The app is informing discussions within these organisations about the types of data required for decision making, formats of outputs and how decisions could be taken in conjunction with neighbouring land owners to amplify possible effects. |
Type Of Technology | Webtool/Application |
Year Produced | 2023 |
Impact | Feedback is informing further development of the tool/app with the ultimate goal of increasing tree-planting rates amongst large land owning organisations, and net zero policy design. |
Title | JULES App (Joint UK Land Environment Simulator) |
Description | The development of an emulated version of the Joint UK Land Environment Simulator (JULES) model has been developed by the ADD-TREES project. The original JULES model requires a supercomputer to run, and would take many months of supercomputer time (at significant cost) to run at a UK-wide level. Running multiple scenarios would take many years. The emulated app version of JULES seeks to provide an accessible version of this dataset to allow organisations aiming to meet UK net zero commitments (and organisational commitments) to access JULES outputs on a phone or laptop, at any location in the UK, over any time period, in just a second or two. Running the app for the whole UK can be achieved in less than 10 seconds, permitting end users without access to UKRI infrastructure to access vital data on carbon sequestration and provide world leading science to the finger tips. |
Type Of Technology | Webtool/Application |
Year Produced | 2024 |
Impact | The app has significant potential to revolutionise how and who is able to access data sets of national importance - democratising access to world leading science. Within the academic community, the app has the potential to turbocharge developments to the JULES model. |
Title | Prototype Decision Support Tool for Large Landholdings |
Description | A tool, presented as an App, that provides an environment for the exploration of ways to change land use on a land holding selected by the user (farm, estate, series of land holdings) to support net zero ambitions. The user can try out different land use changes, such as tree-planting, and see what the consequences of the proposed change would be over time. The user can select from a range of consequences (or targets) which we are constantly expanding as new data comes online, and which includes: - carbon sequestered - biodiversity change - costs (per year or over time) - recreation/visitor number changes - water and air quality changes - flood risk changes - income changes from the change in land use |
Type Of Technology | Webtool/Application |
Year Produced | 2023 |
Impact | Emerging impact through engagement with project partners on the prototype (Forestry England, British Army, National Trust) |
Title | dgpsi R package for Deep Gaussian Process fitting using Stochastic Imputation |
Description | An R package for fitting deep and linked Gaussian process models. The package enables easy adaptive design for these models as well. |
Type Of Technology | Software |
Year Produced | 2022 |
Open Source License? | Yes |
Impact | This software is embedded in a decision support tool that Defra are currently working with to aid policy design for tree planting. |
URL | https://cran.r-project.org/web/packages/dgpsi/index.html |
Description | A demonstration of ADD-TREES and NZ+ decision support tools to Army and MOD |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Demonstration of ADD-TREES and NZ+ decision support tools to Army and MOD to support decision/policy making for tree planting, and agree next steps - follow up meeting and explore hosting app. |
Year(s) Of Engagement Activity | 2024 |
Description | ADD-TREES & NetZeroPlus User Advisory Group (UAG) |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Practical and discursive workshop between UoE with Project Partners - MoD, National Trust, Defra, National Rail, Woodland Trust, Forestry England, The National Forest, eftec. Demonstration & feedback workshop: providing development updates, project progress, user-testing of prototype apps and decision support tool to collect feedback, identify gaps, understand user needs , functionality, outputs, that the tool might be missing and map potential areas of improvement. Led to Further co-creation/development of the user- bespoke decision support tools/apps for tree planting. |
Year(s) Of Engagement Activity | 2024 |
Description | AI for NetZero Kick off meeting |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Study participants or study members |
Results and Impact | Discuss how the new project AI for Net Zero will work alongside the existing project Net Zero+ |
Year(s) Of Engagement Activity | 2023 |
Description | AI-Driven Solutions for Carbon Capture and Storage Workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Organised by the ECO-AI Project led by Heriot-Watt University, Edinburgh involving all the UKRI AI for Net Zero projects. An immersive two-day workshop dedicated to exploring ground breaking AI solutions in the field of Carbon Capture and Storage (CCS) - workshop to disseminate, raise awareness, exchange knowledge, collaborate & learn with other AI and Net Zero researchers. Attendees and request to find out more about the projects and the research being undertaken applying AI and contributing to Net Zero and think about future collaborations and research. |
Year(s) Of Engagement Activity | 2024 |
URL | https://ai4netzero.github.io/eco-ai/workshop/ |
Description | Army Partner Day |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Amy Binner visited David Owen at Army HQ in Andover to engage further with Army re nat cap tools. led to further engagement with MoD and new contact with BT |
Year(s) Of Engagement Activity | 2023 |
Description | BT Enterprise Sustainability Day |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | BT are very keen to promote this sustainability event, therefore it will reach a wide audience. A Binner will present a session about sustainability in the UK defence system. Promote awareness of work NZ+ engaging in. Engaged with "Damian Hart Front Line Command & Smartbases Manager | BT Enterprise | Tel: 07435 977598 Email: damian.hart@bt.com" |
Year(s) Of Engagement Activity | 2023 |
Description | Collaboration meeting |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Meeting between ADD-TREES & NetZeroPlus project members to discuss future collaboration and secondment. |
Year(s) Of Engagement Activity | 2024 |
Description | Collaborative project partnership |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Other audiences |
Results and Impact | Discursive meeting to explore a possible collaborative project partnership for the Dr LUNZ bid, with the MoD and researchers from the ADD-TREES and NetZeroPlus projects. Resulted in MoD being a partner is a submitted project proposal. |
Year(s) Of Engagement Activity | 2023 |
Description | Conference abstract - Deep Gaussian Process emulation and calibration for a complex farm model incorporating uncertainties. |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | An abstract for the SIAM UQ 2024 conference in Trieste, Italy. Present the performance of deep Gaussian process emulators with active subspaces for WOFOST and compare them to standard emulation approaches, and the development of a hierarchical calibration framework for sharing yield data on 3,500 farms across the ~2500000 field parcels in the UK, for quantifying uncertainty in the field specific parameters. Demonstrate the potential of this technology for creating self-updating digital twins for large collections of farms in the UK. |
Year(s) Of Engagement Activity | 2024 |
URL | https://www.siam.org/conferences/cm/program/program-and-abstracts/uq24-program-abstracts |
Description | Demonstration stand at AI UK 2024 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Hosted by The Alan Turing Institute, AI UK is an in-depth exploration of how data science and AI can be used to solve real-world challenges. ADD-TREES provided an interactive demonstrator exhibition stand where attendees engaged with apps/decision support tools developed by the project for tree planting. Showcasing application of AI in real-world scenarios - raising awareness of AI application in woodland creation and land use to meet UK Net Zero 2050 targets. |
Year(s) Of Engagement Activity | 2024 |
URL | https://ai-uk.turing.ac.uk/ |
Description | Investment in DS & AI Workshop - Environmental Intelligence |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Study participants or study members |
Results and Impact | Meeting with UOE Institute for Data Science and Artificial Intelligence |
Year(s) Of Engagement Activity | 2023 |
Description | Leading a two-part mini-symposium - UQ for Linking Models in Digital Twins for Decision Support - Part I & II (MS72 & MS92) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | At SIAM UQ 2024, a conference organised by Society for Industrial and Applied Mathematics (SIAM) UQ with over a 1000 attendees. Members of project team leading a two-part mini symposium - UQ for Linking Models in Digital Twins for Decision Support - Part I & II (MS72 & MS92) - including presentations on: Linked Deep Gaussian Process Emulation, Ethical Decision Support using Digital Twins in climate change applications and Decision Support with Digital Twins as an Inverse Problem with Application for Net Zero Policy Making |
Year(s) Of Engagement Activity | 2024 |
URL | https://www.siam.org/conferences/cm/conference/uq24 |
Description | Meeting with Army post UAG to discuss trialling tools |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Danny Williamson met with Army to discuss roll out of tools for case study work within the Army. He met with David Owen, Richard Milner Anthony Raney to discuss peatland work in future and possible roll out of current project tools for case study areas (testing). |
Year(s) Of Engagement Activity | 2024 |
Description | Meeting with National Trust post UAG to discuss next steps with tools |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Amy Binner, Danny Williamson Kate Gannon, Matt Heard, John Deakin, Alessandro Silvestri & Tatiana Cantillo Garcia met with John Deakin online to discuss how the tools could be deployed within National Trust. What the next steps would be and co-design. |
Year(s) Of Engagement Activity | 2024 |
Description | Meeting with project partners, MOD, to demonstrate the project user-bespoke decision support tools - Elicitor and Tree Planting App |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Demonstration of decision support tool in relation to MOD peatland and natural capital challenges. Provide a an initial heads up with a view to identify future collaboration to build something bespoke together to support systemic decarbonisation - co-development of app/tools to support decision & policy making - plans for future collaborative work. |
Year(s) Of Engagement Activity | 2024 |
Description | MoD AI4NZ Meeting |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Provide MOD with information and tools to assist with their land management programme. External attendees Lt Col C Stoner, Lt Col Grant Kerr, Mr B Appleby, Dr S Jordan,Mrs K Bennett, R Milner,D Owen, N Ginnever |
Year(s) Of Engagement Activity | 2023 |
Description | National Trust / Exeter Working Group |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | A forum for discussing current and planned collaboration between the National Trust and University of Exeter working group. The working group consists of academics, professional services and practitioners. At this meeting Amy Binner presented the Outdoor Culture and Heritage project update covering current activities and planned work and outputs and Kate Gannon presented the same for the Net Zero Plus and Add-Trees projects. |
Year(s) Of Engagement Activity | 2024 |
Description | Natural Capital Tools workshop, Edinburgh (JHI) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Amy Binner presented the Net Zero+ decision support tool for audiences attending the workshop in Edinburgh on 31.05.23 |
Year(s) Of Engagement Activity | 2023 |
Description | Net ZeroPlus User Advisory Group Meeting April 24 |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | User Advisory Group meeting with representatives from MOD, Defra, Forestry England, Woodland Trust & National Forest. Updates from Net Zero+ on our tool and how we can adapt it to benefit these bodies in deciding on their land use going forward. The Group meets every 6 months. |
Year(s) Of Engagement Activity | 2023 |
Description | Presentation at the 12th International Congress of Plant Pathology |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Present to plant pathologists and plant health researchers from around the world & discuss their latest research and future issues facing plant health experts. Raising awareness of research and sparked discussions at the event. |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.icpp2023.org/ |
Description | Presentation at the XX International Plant Protection Congress - Health Plants Support Human Welfare |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation. |
Year(s) Of Engagement Activity | 2024 |
URL | https://www.ippcathens2024.gr/ |
Description | Presentation to UoE/NT Partnership meeting of NZ+ and ADD-TREES |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Communicate project progress to strategic leaders of partnership between NT and UoE.organised by C Bines to ensure the project remains on the radar of key stakeholders to support with promotion of project, next steps and future work ideas |
Year(s) Of Engagement Activity | 2024 |
Description | Presentation to UoE/NT Partnership meeting of NZ+ and ADD-TREES |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Communicate project progress to strategic leaders of partnership between NT and UoE to ensure the project remains on the radar of key stakeholders to support with promotion of project, next steps and future work ideas |
Year(s) Of Engagement Activity | 2023 |
Description | Project meeting to demonstrate the Elicitior and Tree Planting App with National Trust |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Meeting about the decision support tools in development via NZ+ and ADD-TREES, the feedback gathered at the user advisory group, and next steps for working with National Trust. Co-development of app/tools to support tree planting decision making - future tool development work opportunities. |
Year(s) Of Engagement Activity | 2024 |
Description | Rothamsted Digital Twin Workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Demonstration of Digital Twins research, knowledge exchange and discuss possible future collaborations. |
Year(s) Of Engagement Activity | 2023 |
Description | SWBC AI Conference: Harnessing the Power of AI |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Industry/Business |
Results and Impact | Organised by the South West Business Council (SWBC) - an AO conference aimed to dive into the dynamic landscape of AI, showcasing how the South West effectively addresses challenges and seizes opportunities in this rapidly evolving business environment. Showcasing and raising awareness of the project's AI-enhanced research and deliverables. Attendees interested in the work of the project and its application of AI for Net Zero, seeking additional information about the project at the stand. Attendees to see demonstrations of AI-enhanced decision support tools for tree planting and see real-world application of AI. |
Year(s) Of Engagement Activity | 2024 |
URL | https://www.nccuk.com/events/swbc-ai-conference/ |
Description | Talk British Science Festival - This Green and Pleasant Land The UK Landscape in 2050 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Public/other audiences |
Results and Impact | Pitch NZ+ vision for a greener future and what will UK landscape be like in 2050 |
Year(s) Of Engagement Activity | 2023 |
URL | https://britishsciencefestival.org/event/this-green-and-pleasant-land/ |
Description | The Alan Turing Institute ECR Connect (AI UK) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Attend the ECR Connect Event, organised by The Alan Turing Institute in conjunction with AI UK, to network with peers, engage with research being showcased, hear directly from experts and exchange knowledge to foster new collaborations, and promote/signpost to find out more about their work/the project digital twin decision support tools being demonstrated during AI UK the next two days. |
Year(s) Of Engagement Activity | 2024 |
URL | https://www.turing.ac.uk/events/ecr-connect |
Description | University of Exeter Alan Turing Institute Showcase |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | A showcase organised by the Institute for Data Science and Artificial Intelligence (IDSAI) at University of Exeter. Talk from Professor Girolami on the latest from the Turing Institute, as well as a chance for him to find out more about the work we have been doing with the Turing, through poster sessions, talks and networking. Sharing of knowledge and research, and started conversations with other researchers. |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.exeter.ac.uk/events/details/index.php?event=13169 |
Description | UoE & National Trust Partnership Meeting |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Update on partnership collaborations including ADD-TREES presentation update - raising awareness of project and partnership activities. Reinforcing the partnership and exploring future collaborations. Informing future collaboration discussions. Ongoing discussion to seek future opportunities. |
Year(s) Of Engagement Activity | 2024 |
Description | User Advisory Group Meeting |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Amy Binner & Daniel Williamson presented latest version of the app to partners. They than allowed partners to engage with the app and feedback on performance/enhancements etc. Attendees were as follows:- User Advisory Group Members from Defra T Lafford, R McIlhiney, N Saidi MOD D Owen, Network Rail Dr Neil Strong, Ece Ozdemiroglu Eftec |
Year(s) Of Engagement Activity | 2024 |
Description | Workshop for Forestry England's Senior Leadership Team Meeting |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | A full day workshop including discussion of the natural capital framework, design of decision support systems, participatory workshop mapping organisational priorities, decisions and constraints and a demonstration of prototype decision support systems. |
Year(s) Of Engagement Activity | 2024 |