How does land-river connectivity shape river water quality in persistent, gradual climate changes & episodic, intense #extremes? New paper NatureClimate reviews overlooked impacts of #climatechange on water quality. nature.com/articles/s4155… SharedIt: rdcu.be/dAAhw

We're excited to announce the Climate Change AI Summer School 2024!☀️ Are you an #AI expert who wants to tackle #ClimateChange? Are you a #climate expert trying to use #ML in your work? Are you curious about the topic? Apply & register now! Learn more👉climatechange.ai/events/summer_…

To model, always begin by being simple, sometimes absurdly simple. Identify what the most important variable is. Ignore the rest, and only after one understands the importance of one variable is one ready to add the next layer of complication. Too often I see beginning (and

You love machine learning and want to use your skill-set to climate modeling, and potentially win a prize: we got you 🙂. A new exciting Kaggle competition with our LEAP center kaggle.com/competitions/l…

Thank you for this great opportunity to leverage national research resources provided by the NSF and DOE for conducting AI research. It is an honor to be a part of this NAIRR Pilot effort!

Incoming UConn CLAS assistant professor Lijing Wang is part of a new U.S. National Science Foundation U.S. Department of Energy #AI research pilot, studying water flow in data-scarce mountainous areas. 🏔️ today.uconn.edu/2024/05/geosci…

I'm super excited to convening our session again at #AGU24 together with the amazing Lijing Wang, Lucy Marshall, and Mary Hill. We are looking forward to having you there and hear about all your latest research.

💡Explore water resource uncertainty, data assimilation, and model calibration with Bayesian methods and AI at our #AGU24 session! Featuring invited speakers Anneli Guthke @SimTech_Stuttgart and Alexandre Tartakovsky CEE at Illinois. Submit now: bit.ly/h009

I’m loving that the fantastic Aubrey Dugger (NCAR) and Dan Lu (ORNL) accepted the invitation to speak in our #AGU24 session. 🥰 This is gonna be awesome! Lucy Marshall Lijing Wang Mary Hill

Are you interested in 1) the future of water under climate change + extremes; 2) reactive transport models + machine/deep learning tools? Come join a diverse group of learners. >1 PhD positions for FA 25. "Somewhere, something incredible is waiting to be known." - C. Sagan

We are looking for a visiting assistant professor to join us this Fall at UConn Earth Sciences ! You will have great teaching experience and leading big lectures for training future earth scientists! And we can work together on research projects too! jobs.hr.uconn.edu/en-us/job/4985…

If you are interested in hydrology and uncertainty, particularly with new AI or Bayesian methods, please consider submitting your abstract to our session at AGU24! #agu24 #AIforscience

📢NOW Recruiting Students📢Free NSF GRFP application prep short course for geoscience undergrad students and 1st year grad students, held virtually Aug.-Sept. 2024! Deadline to apply is August 9th! Apply with the link or using the QR code on the flier: forms.gle/XAmr9DnyPfy4UL…

We are seeking a tenure-track faculty member (open rank: Assistant, Associate, or Full Professor) to join UConn Earth Sciences! This cluster hire focuses on AI/ML to understand and address natural and climate change-related disasters. More details here: academicjobsonline.org/ajo/jobs/26468

🔎We used sediment fingerprinting to crack the case of #beaverdam vs #beaverdamanalogs sediment sources Results? Beaver dam sediment originates from different & more diverse sources than BDAs due to🦫action! doi.org/10.1029/2024WR… CSU Warner College Global Water Futures Publications AGU Ecohydrology

First time at our annual Earth Science Fair with UConn Earth Sciences! My PhD students, oladoja victor and Yeonju Kim, taught visitors about the water cycle, hydrologic modeling, and groundwater - such an inspiration for future hydrologists and earth scientists!

#NeurIPS I am on the 2024-25 job market seeking faculty positions and postdocs! My goal is to advance AI for scientific computing and discovery. I develop neural operators for partial differential equations (PDEs) with applications in fluid, solid, and earth science.

🌍 Calling all researchers and practitioners! We're studying how Nature-Based Solutions (NbS) are being planned and designed for flood mitigation worldwide. Your input could provide valuable insights to improve NbS guidance and systems. Survey link: bit.ly/4iozHzQ

We are excited to share our #AGU25 session: H118 - Quantifying Uncertainty in Hydrologic Models and invite you to submit your work! Session link: agu.confex.com/agu/agu25/prel… We hope you will join us this December in New Orleans, LA, USA!

the Kulik Group Yunha Hwang Michele Ceriotti Rose Yu Stephan Hoyer Nathan C. Frey Shirley Ho Priya L. Donti Organizing team: Ada Fang, Yuanqi Du, Lixue Cheng, Sanjeev Raja, Michael Albergo, Lijing Wang, Carla Gomes, Max Welling, Marinka Zitnik. Sign up for Area Chair: docs.google.com/forms/d/e/1FAI… Sign up to be a reviewer: docs.google.com/forms/d/e/1FAI…