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Environmental Intelligence @ Exeter
Environmental Intelligence draws upon a wide range of expertise from across the University, from business and social sciences, geography, ecology and engineering to computer science and mathematics.
Our expertise covers four principal ‘EI for…’ research-application area themes, enabled by cross-cutting technical expertise, complemented by expertise relating to the broader social context in which such technologies and approaches are developed and applied.
EI expertise and activity at the University of Exeter aligns with one or more of our EI research-application area themes.
From carbon cycle, weather & climate models and forecasting to social & environmental tipping points, extreme weather-natural events and global systems thinking.
From built environment, smart cities, energy systems and renewables to circular economy, clean mobility, sustainable transport systems, and resilient infrastructure
From sustainable food systems, land-water use and conservation to nature-based solutions, biodiversity monitoring, rural policy and marine management.
From net-zero transition, business ECG commitments, climate / extreme weather mitigation, and food and energy systems, to biodiversity renewal, land use, flood prevention, pollution and supply chain resilience
Technical approaches
Environmental Intelligence activity is driven by a wide range of enabling technical approaches and expertise from across the University, aligned with four core areas
Social context
Consideration of the social context in which novel EI solutions are being developed and applied is essential if they are to realise their potential to support transformational change.
Our EI activity is underpinned by a wide range of ‘social’ expertise from across the University from policy, justice and responsible innovation to ethics, governance and technology implementation.
EI research and innovation activity at UoE focusses in particular on (is) delivering impact in the following key areas.
Climate and extreme weather risk, impact and resilience
Harnessing complex data sets and Machine Learning methods to better understand, evaluate and prepare for the adverse impacts arising from climate change, extreme weather events and rising temperatures.
From enabling accurate risk assessment, prediction and management to facilitating appropriate adaptations and mitigation approaches EI is helping to enhance the resilience and sustainability of communities, organisations, infrastructure, essential systems and the natural world in the face of change and uncertainty.
Nature recovery
Utilising data science and AI approaches to address the biodiversity emergency and support recovery of the natural world
Integration and assessment of data from satellites, drones and other diverse sources to monitor, model and predict biodiversity levels and the impact of interventions, including nature-based solutions, land-use changes, conservation and financial investments.
Remote sensing and monitoring
Recent years have witnessed a dramatic increase in the acquisition, resolution and precision of remote sensing observations from satellite, aircraft and drone-based sensors, and in-situ devices.
Application of AI / ML offers promising solutions to the challenges of handling and analysing these large datasets, and enable their enormous potential to realised, including automated identification and extraction of key observations, predicting future trends, identifying key environment factors, and dealing with noisy signals under uncertainties.
Sustainable Futures
From clean energy, food systems and land use to finance, insurance and infrastructure, AI is a vital enabling technology for the transformational changes required to create a sustainable future. EI @ Exeter is working with partners across different disciplines and sectors to deliver AI-driven innovation to optimise existing systems, create novel solutions, improve decision making finance and deliver on organisational and national commitments.
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