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Prediction of hazardous materials in the building stock though machine learning

Hazardous materials (e.g. asbestos and PCB) is a health risk and when encountered during renovation processes increases costs and lead times. In this project information about where hazardous materials have been found will be gathered, systematized and connected to comprehensive registers about the building stock. Machine learning makes it possible identify patterns and make predictions of where hazardous materials might be found in the entire Swedish building stock.


Project name

Prediction of hazardous materials




Västra Götaland Region

RISE role in project

Coordination and execution

Project start


4 years

Total budget

4.5 MSEK

Project members

Mikael Mangold

Contact person

Mikael Mangold


+46 10 516 53 98

Read more about Mikael