A Two-Step Approach to Training Earth Scientists in AI

A Two-Step Approach to Training Earth Scientists in AI. Researchers learned machine learning methods during a boot camp, then applied their new knowledge to real-world research problems during a hackathon.

Interesting article this week from Pacific Northwest National Laboratory (PNNL) on their two step training process for earth sciences. Sharing some quotes below, link in the comments to article from Goldberger et al (2025).

“Earth scientists, from those focused on the atmosphere or ocean to those studying the continents or deep subsurface, often work with extremely large—sometimes global—datasets, trying to find patterns among noisy real-world observations. AI/ML is well suited for such tasks.”

A Two-Step Approach to Training Earth Scientists in AI