

Water Journal paper published open access on ACQUIRE and water quality incident response with AI
Mounce, S.R., Mounce, R. B. and Boxall, J.B. (2025). AI-Augmented Water Quality Event Response: The Role of Generative Models for Decision Support. Water, 17 (22), 3260, pp. 1-24. https://doi.org/10.3390/w17223260 (Special Edition in Application of Artificial Intelligence (AI) in Water Quality Monitoring: https://www.mdpi.com/journal/water/special_issues/H5KB4LPI3Y )


Paper presented at CCWI 2025 on ACQUIRE AI tools
The Computing and Control in the Water Industry Conference 2025 , hosted by The University of Sheffield, was an excellent and informative event bringing together an international community of academics and practitioners working in the field of urban water systems. Dr. Steve Mounce presented a paper on the Ofwat Discovery project ACQUIRE for harnessing the power of AI in addressing drinking water quality incidents and improving response plans for better water management. You c


ACQUIRE participate in the Ofwat ACCELER-REG31 sprint at the NWL Innovation festival 2025 (July 2025)
The Northumbrian Water Group's Innovation festival 2025 brought together utilities, suppliers, regulators and innovators together to...


Invited talk on AI in Hydroinformatics at KWR
Recently, KWR hosted an engaging Knowledge Exchange meeting on Hydroinformatics, featuring an insightful talk by Steve on the...


ACQUIRE project featured with other Water Discovery Challenge Winners in The Environment Magazine (CIWEM)
https://www.ciwem.org/the-environment/the-future-of-clean-water-disinfection-gets-a-high-tech-makeover "The Water Discovery Challenge is...


ACQUIRE participate in the celebration event for the first Water Discovery Challenge as one of the Winners (September 2024)
In September this year, the Ofwat Innovation Fund marked the end of the first Water Discovery Challenge with a celebration event that...
























