Big Data, Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance

Funder	Engineering and Physical Sciences Research Council
Recipient Organization	University of Sheffield
Country	United Kingdom
Start Date	Sep 29, 2024
End Date	Sep 28, 2028
Duration	1,460 days
Number of Grantees	1
Roles	Student
Data Source	UKRI Gateway to Research
Grant ID	`2925130`

Grant Description

The research will integrate water quality data with aspects including hydraulics and GIS records from an operational network leading to the development and field testing of innovative and targeted management strategies to ensure the supply of safe drinking water to over 1.8 million people.

Techniques such as complex network theory and self-organising maps will be used to train predictive models to inform pro-active network maintenance with the outcomes being reviewed and annually updated.

This project offers a unique chance to develop data-driven solutions that can deliver significant real-world impact on public health and well-being.