Water Data Forum: Durable Skills for the Water Workforce in the Age of AI

November 4, 2026

AI now writes code, runs analyses, and completes research tasks that once took a skilled person days or weeks. In a facilitated discussion, researchers, managers, and workforce development experts examined how AI is reshaping technical roles across the water sector, which analytical and modeling skills remain durable, and why demand is growing for people who can check what AI produces, direct the work of AI alongside the work of people, and explain results to those who act on them. This Water Data Forum session is presented by Cleveland Water Alliance, the Water Environment Federation, the Water-AI Nexus Center of Excellence, and CUAHSI.

About the speakers

Julia Masterman

Community Relations and Training Coordinator
at
CUAHSI

Julia manages the development and execution of CUAHSI’s education and outreach activities. Julia graduated from Boston University with a BA in Earth and Environmental Sciences. During her time at BU she completed research investigating the impact of Canada geese populations on Charles River water quality. Outside of work she enjoys trying out new recipes and spending time exploring outdoors.

Jordan Read

Chief Executive Officer
at
CUAHSI

Jordan Read (he/him) is the Chief Executive Officer of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), a nonprofit of 101 US university members that runs shared data and computing systems for water science, including HydroShare, and delivers training, workshops, and meetings that bring the water research community together across institutions. He sets CUAHSI's strategy, builds its partnerships, and is responsible for keeping the organization on a sustainable footing.

Before joining CUAHSI in 2023, Jordan spent a decade at the U.S. Geological Survey, where he established and led the Water Data Science Branch. The branch brought machine learning together with physical understanding of rivers and lakes, and it built the data pipelines and reproducible workflows that let a federal science agency deliver forecasts and predictions at national scale. That work included process-guided deep learning models of lake temperature, near-term forecasts of stream temperature to support water management decisions, and daily surface temperature estimates for more than 185,000 lakes across the United States.

His research background is in environmental fluid mechanics and lake physics. He has published on lake warming around the globe, on the controls of gas exchange across lake surfaces, and on community-built tools for sharing and analyzing data in environmental observing networks. His current writing and speaking focus on how AI agents are changing the way scientific work gets done, who is accountable for its credibility, and what that means for the people and organizations that do water science.

Jordan holds a Ph.D. in Civil Engineering (Environmental Fluid Mechanics) and a B.S. in Civil Engineering, both from the University of Wisconsin–Madison. He lives in Wisconsin.

Dr. Alison Appling is a water data scientist with the U.S. Geological Survey (USGS), where she develops and applies machine learning and statistical methods – including tailored methods that build scientific knowledge directly into deep learning models – to understand water quality in rivers and lakes. She also manages water prediction projects that integrate multiple modeling approaches to support national assessments and local water management decisions.

Recognizing that good science increasingly depends on good artificial intelligence (AI) practices, Alison co-led development of a USGS AI Strategy, leads an organization-wide AI/ML community of practice, and helps shape agency policy on AI applications in science. She holds a Ph.D. in Ecology from Duke University and a B.S. in Symbolic Systems from Stanford University, and in 2025 received the Presidential Early Career Award for Scientists and Engineers, awarded by the White House to outstanding early-career researchers.

John Ikeda is Chief Mission Officer at the Water Environment Federation, where he leads education, workforce development, and strategic initiatives—including the Water-AI Nexus Center of Excellence—focused on advancing the practical use of data, analytics, and AI across the water sector. His work helps utilities and professionals translate emerging technologies into real-world operational and workforce impact.

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Ed Verhamme

Principal & Senior Engineer
at
Limnotech

Ed Verhamme is a Principal and Senior Engineer at LimnoTech and was recently named president of Freeboard Technology, a new water technology start-up he co-founded as a subsidiary of LimnoTech. Ed is well known for his work across the Great Lakes region over the last twenty years to design, build, and maintain the next-generation sensing network that supports hundreds of thousands of boaters, key water managers, and critical infrastructure owners. In 2021, Ed served as the International Association for Great Lakes Research president and supports ongoing work to build robust public-private partnerships to tackle tough social justice and environmental issues.