The Alabama Water Institute has selected four UA faculty as 2025–28 fellows, advancing research in algae and coral science, water security, AI in hydrology and environmental modeling.
AWI’s Water-R2O NSF Research Traineeship program celebrated the graduation of its 2024-2025 cohort, capping a year of hands-on water science training that spanned the Southeastern U.S. and four European countries.
Dr. Jonathan Frame has secured a National Science Foundation grant to investigate how expanding AI infrastructure will impact water resources—a critical issue he believes will define the next decade of water management.
Tuscaloosa, a town synonymous with SEC football, becomes the epicenter of America’s next-generation water workforce development each summer.
More than 225 researchers, students and partners gathered at the University of Vermont for the 2025 CIROH Developers Conference.
CIROH’s new Student Developer Award spotlights early career innovation. Winner Savalan Naser Neisary shares how DevCon and mentorship are shaping his path.
TUSCALOOSA, Ala. — The Alabama Water Institute is establishing an educational partnership with Woodland Forrest Elementary School, providing the STEM-certified school with an advanced augmented reality sandbox system through a long-term loan agreement. The TopoBox allows students to manipulate sand to create topographical features like mountains and valleys while computer sensors and overhead projection systems…
CONSERVE partnered with tribal nations and local officials in Oklahoma for a tabletop exercise aimed at improving flood preparedness and response. The event highlighted the value of local knowledge, cross-jurisdictional collaboration and new NOAA visualization tools in tackling complex flood risks.
Ian Brunetz has received the prestigious Barry Goldwater Scholarship for his research in freshwater ecology. His interdisciplinary work on freshwater mussels highlights his dedication to advancing aquatic science and science communication.
Most rivers lack gauges, leaving gaps in flood forecasting, water management and emergency planning. This new machine learning approach uses downstream data to predict upstream flow with no sensors needed.
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