[FEWSLab] Fw: Navigating Academic Waters: Leveraging AI and Data Science in Hydrology

[Safeeq Khan]

FYI


Best Regards,



Safeeq Khan, PhD

Associate  Professor of Hydrology

Civil & Environmental Engineering, University of California, Merced<https://engineering.ucmerced.edu/soe-bylaw-units/civil-environmental-engineering-cee>

Associate Editor, Hydrological Processes<https://onlinelibrary.wiley.com/journal/10991085>

Website: http://ecohydrology.ucmerced.edu/

Phone: 209-386-3623<tel:(209)%20386-3623>

Email: msafeeq at ucmerced.edu<mailto:msafeeq at ucmerced.edu>

[cid:4c91f175-af5f-4f5c-b6bc-1d4b17344b54]





________________________________
From: Consortium of Universities for the Advancement of Hydrologic Science, Inc. <commgr at cuahsi.org>
Sent: Thursday, October 30, 2025 5:00 AM
To: Safeeq Khan <msafeeq at ucmerced.edu>
Subject: Navigating Academic Waters: Leveraging AI and Data Science in Hydrology

Wednesday, November 5!
View this email in your browser<https://mailchi.mp/cuahsi.org/leveraging-ai-and-data-science-in-hydrology-4206136?e=2a0b1d6798>
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Navigating (beyond) Academic Waters: Leveraging AI and Data Science in Hydrology

Reminder- join CUAHSI and AGU H3S for the final cyberseminar in the Navigating (beyond) Academic Waters series!

Register Here<https://cuahsi.us3.list-manage.com/track/click?u=aad7e9257f329c1a46ebbd412&id=4c31d83373&e=2a0b1d6798>
Date: November 5, 2025
Location: Virtual, free to attend

Artificial Intelligence (AI) and data science are transforming environmental research by enabling more accurate predictions, deeper insights, and innovative solutions to complex challenges. This seminar will highlight how these tools are being applied in hydrology and related fields to improve modeling, forecasting, and decision-making. Join us for an engaging panel discussion featuring experts working at the intersection of data science and environmental science. Topics will include emerging methodologies, open-source platforms, cross-sector collaboration opportunities, and the evolving skill sets needed in this data-driven landscape. Whether you are a student, early-career researcher, or established professional, this seminar will offer valuable insights into the role of AI and data science in shaping the future of environmental science and water-related fields.

Speakers:

  *   Lindsay Platt, Environmental Data Scientist, Lead of Operations (acting), CUAHSI
  *   Admin Husic, Assistant Professor, Virginia Tech
  *   Jacob A. Zwart, USGS, Senior Research Data Scientist
  *   Paul Liu, Director of International Affairs, COS, Professor, North Carolina State University

Learn more about this series here<https://cuahsi.us3.list-manage.com/track/click?u=aad7e9257f329c1a46ebbd412&id=e1f598e7b8&e=2a0b1d6798>. Recordings of previous sessions in this series can be found here<https://cuahsi.us3.list-manage.com/track/click?u=aad7e9257f329c1a46ebbd412&id=25bcd8b4ae&e=2a0b1d6798>.
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