Next-generation tools for water solutions
Integrating sensors, data science, modelling, citizen science and data-human interfaces to manage risks to water resources and ecosystems.
About
Autonomous sensors, the Internet of Things, data science and citizen science are all changing the way we interact with the world around us. They open new avenues in managing freshwater resources using innovative digital approaches. We develop innovative solutions, such as “Digital twins” of the natural environment and man-made infrastructure that offer new solutions and early warning systems for water risk management. Our interdisciplinary research aims to improve how we manage the competing demands on freshwater across different scales, from individual domestic water users to large businesses and from natural ecosystems to man-made water systems.
Project highlights
Find out more about our research activities:
PhD research
| PhD project | Student | Supervisor | Partner |
|---|---|---|---|
Using in situ sensors to monitor ecosystem health in freshwater catchments | Inge Elfferich | Liz Bagshaw | Dŵr Cymru Welsh Water |
Novel technologies for early detection and monitoring of fish pathogens | Scott MacAulay | Jo Cable | |
Bridging ecology and technology: using citizen science and artificial intelligence to track fish health | Agnethe Olsen | Sarah Perkins | The Wye and Usk Foundation |
Using environmental DNA to understand the role of connectivity in pond ecosystems | Claire Robertson | Dan Read | Freshwater Habitats Trust |
Water quality monitoring via Hydrobean, low-cost wireless sensing network | Elle von Benzon | Liz Bagshaw |
In 2022, an interdisciplinary team from the School of Biosciences and the School of Computer Sciences embarked on a project to map and record infectious diseases in fish.