Fruitful and productive collaborations and partnerships are critical to the work of the Joint Centre. We are bringing together the very best researchers and partners to pioneer the use of Environmental Intelligence to enhance society’s resilience to environmental and climatic change.
Current partnership highlights include:
We have a long standing relationship with the World Health Organisation, focusing on air quality and global public health, information on example work here.
Close working with The Alan Turing Institute, the UK’s national centre for Data Science and AI, is enabling leadership at the interface of environmental science and AI research. Current projects include:
We are working with the National Oceanographic Centre (NOC) to develop cutting edge Digital Twin technology. The aim of our collaboration is to fully exploit environmental data and modelling expertise to provide a step change in our understanding of environmental change and prediction abilities to support sustainable interactions with our environment, and to provide the insights that are crucial for climate change adaptation and mitigation.
The Joint Centre is part of a consortium led by the National Digital Twin Programme and the Centre for Digital Built Britain at Cambridge University. The purpose of this collaboration is to deliver a Climate Resilience Demonstrator, more information here.
We are working with Microsoft to develop the initial components of a prototype digital representation of the South West environment and the complex interactions with its population, infrastructure and economy.
This initiative has been enabled through the Met Office’s new HPC Collaboration, and is being led by the JCEEI. It is part of a planned development of a Digital Twin for the South West that brings together multiple sources of environmental and sociological information to inform decision-makers, provide the information required for policy development and to empower members of the public. The translation of Environmental information into decision-support through the use of Artificial Intelligence lies at the heart of the JCEEI which brings together world-leading researchers to pioneer research in environmental intelligence and to deliver innovative, interdisciplinary education and training.
We are collaborating with the University of Manchester’s Atmospheric Science Research Group, to develop an Air Quality Digital Twin (AQDT), a prototype digital service that reliably replicates air quality and personal exposures to pollutants.
We are exploring areas of shared interest with energy futures lab at Imperial College London, which will use data science and Artificial Intelligence to develop integrated models that bring together weather and climate data, future climate projections, energy systems modelling and future economic scenarios.
An initial project with the Alan Turing Institute and Universities of Edinburgh and Warwick is developing robust approaches to decision support under climate uncertainty for energy security and net zero.
