EESC in the News: AI Predicts Natural River Flows in California. Could It Do More?

DAILY DIGEST, 6/26: AI predicts natural river flows in CA. Could it do more?; Chasing 14,000 “forever chemicals” to protect California’s drinking water; Conservation groups challenge water transfers; How congressional earmarks are draining America’s water

AI's Water Use in California: Contextualizing a Minor Concern Amid Larger Water Challenges

This article by Jay Lund on California WaterBlog examines the discourse around AI's water use, arguing that concerns about AI's direct water

AI's environmental toll: Can sustainable choices reduce the impact of generative AI?

The article discusses the environmental impact of AI, particularly generative AI, which drives significant increases in electricity use, wat

Jisc and EAUC release guidance for universities on managing AI's environmental impact

Jisc and the Environmental Association for Universities and Colleges (EAUC) have launched a new guide at the 2026 EAUC annual conference to

[Linkpost] “The Goodhart Singularity” by Vasco Grilo🔸

PhD Thesis: Hybrid Physical–Machine Learning Models Improve High Streamflow Prediction for Flood Early Warning

This PhD thesis defense by Sergio Ricardo López Chacón focuses on enhancing short-term prediction of high streamflow by combining physically