Highlighting housing affordability and space safety to build a smarter society | Imperial News

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Imperial researchers are helping policymakers and industry build a smarter society with the support of the UKRI Strategic Priorities Fund.

Tracking housing affordability

One project, led by Professor Majid Ezzati of the Artificial Intelligence Network, tracks housing affordability with administrative and open data and machine learning. Researchers set out to create a data and method infrastructure for using and integrating multiple administrative and open data for regular estimation of housing cost (purchase and rental) in London.

What we need are plans and policies that leverage cities’ potential for innovation to improve the health of low-income and marginalised groups. Professor Majid Ezzati

As part of the wider project to reduce health inequalities in cities around the world, researchers have downloaded data from the UK census, the land registry (address, date and cost of all sales), Rightmove and the UK Energy Performance Certificates, and obtained remote access to the English Housing Survey.

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