machine learning

Call for abstracts: water research at AGU25

Past event / SEI researchers seek abstracts from interested researchers and agents for two session at the annual American Geophysical Union conference.

WetSAT-ML: Wetlands flooding extent and trends using SATellite observations and Machine Learning

Tool / WetSAT-ML is an open and free tool that uses radar satellite data and machine-learning models to reveal when, where, and how wetlands change over time.

Seasonal heatwave forecasting with explainable machine learning and remote sensing data

Journal article / This article investigates machine learning models for predicting heatwaves, aiding early warnings and mitigation planning.

Can AI produce reliable and consistent data analysis?

SEI brief / A pilot study explores the promise and limitations of AI tools to deliver accurate, consistent policy analysis at scale, through the SEI AI Reader.

Q&A with SEI’s William Babis: the promise and peril of AI

Feature / SEI Scientist William Babis discusses how AI can support sustainable supply chains and its risks and opportunities for decarbonization efforts.

Predictability of cottonwood recruitment along a dynamic, regulated river

Journal article / This article investigates the use of different algorithms to predict cottonwood growth around river banks and its implications in river conservation.

Guiding riparian vegetation planting with machine learning

Journal article / This article studies the use of machine learning on predicting the growth and health of vegetation around riverbanks.

AI and SEI

Collection / SEI explores how AI can support sustainability while addressing its risks, guiding ethical and impactful use across environment and society.

New frontiers in technology

SEI podcast / Explore emerging technology solutions in sustainable development in this Currents in sustainability podcast featuring Kelly Levin and SEI experts.