Looking to build open-source, scalable, digital models to inform effective action to tackle waterbody pollution?

Join Spring and River Deep Mountain AI (RDMAI) consortia, led by Northumbrian Water, on Tuesday, 25th November, to find out how the novel use of Machine Learning (ML) is being used to analyse diverse data inputs to create open-source models that aim to revolutionise insights into river health and water quality.

RDMAI is funded by the Ofwat Innovation Fund and consists of 6 core partners: Northumbrian Water, Cognizant Ocean, Xylem, Water Research Centre Limited, The Rivers Trust and ADAS. The project is further supported by 4 water companies across the United Kingdom.

Join the RDMAI team for an engaging showcase of their full suite of models, soon to be released on GitHub. Get a behind-the-scenes look at models like the Open Flow Model, which estimates daily mean river flow in ungauged catchments, and the Open Risk Map, designed to identify pollution hotspots and high-risk areas. Discover how these open-source models, and others developed as part of the project, can support your work and inform better decision-making.

This free knowledge-sharing event will offer key insights from the RDMAI team’s experience working on a fast-paced, ambitious open-source project. They’ll discuss the assumptions, challenges, and solutions behind developing their suite of models.

Sign up now to discover how AI and ML are redefining the future of river health monitoring and pollution prevention.