This project applies machine learning and surrogate modelling techniques to analyse the impact of climate change on built environments. There is also increased pressure to engineer buildings to use less energy and provide improved comfort for occupants. This motivates the provision of risk assessments as to the risk of over- or under-engineering of environmental systems. Commonly these are air conditioning units. Ideally such models could be linked to costing models to directly facilitate decision making.
Jonathan has written a number of blogs, focusing on sustainability and politics.
Floods will cost the UK billions, but AI can help make sewers the first defence – for The Conversation
Fifty Shades of Green: Conservative Policy and the Environment
Can the Blues go Green?
Making Decisions Under Uncertainty: SHELF User Forum