Grantham Scholar Jonathan Sykes applies machine learning and surrogate modelling techniques to analyse the impact of climate change on built environments.
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.
Paul Blomfield MP interview with Grantham Scholar Jon Sykes. Watch Jon interview Sheffield MP Paul Blomfield on our YouTube channel.
In 2018 Jonathan and other Grantham Scholars went to Bluedot festival. With them was MOBIUS – a mobile tracking vehicle made by Urban Flows Observatory. Find out more in this blog written by them: Going with the flow: Bluedot festival 2018.
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
You can find Jonathan Sykes on LinkedIn