Characterising uncertainty in complex environmental simulations for public engagement with climate change conscious sustainable planning and design

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.

Outreach and impact

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

Jonathan Sykes


Dr Chengzhi Peng

School of Architecture