• About
  • Sections
  • Topics
    • Climate
    • Earth Science
    • Oceans
    • Space & Planets
    • Health & Ecosystems
    • Culture & Policy
    • Education & Careers
    • Opinions
  • Projects
    • Postcards From the Field
    • ENGAGE
    • Editors’ Highlights
    • Editors’ Vox
    • Eos en Español
    • Eos 简体中文版
    • Print Archive: 2015–2025
  • Science Policy Tracker
  • Blogs
    • Research & Developments
    • The Landslide Blog
  • Newsletter
  • Submit to Eos
  • AGU.org
  • Career Center
  • Join AGU
  • Give to AGU
  • About
  • Sections
  • Topics
    • Climate
    • Earth Science
    • Oceans
    • Space & Planets
    • Health & Ecosystems
    • Culture & Policy
    • Education & Careers
    • Opinions
  • Projects
    • Postcards From the Field
    • ENGAGE
    • Editors’ Highlights
    • Editors’ Vox
    • Eos en Español
    • Eos 简体中文版
    • Print Archive: 2015–2025
  • Science Policy Tracker
  • Blogs
    • Research & Developments
    • The Landslide Blog
  • Newsletter
  • Submit to Eos
Skip to content
  • AGU.org
  • Career Center
  • Join AGU
  • Give to AGU
Eos

Eos

Science News by AGU

Support Eos
Sign Up for Newsletter
  • About
  • Sections
  • Topics
    • Climate
    • Earth Science
    • Oceans
    • Space & Planets
    • Health & Ecosystems
    • Culture & Policy
    • Education & Careers
    • Opinions
  • Projects
    • Postcards From the Field
    • ENGAGE
    • Editors’ Highlights
    • Editors’ Vox
    • Eos en Español
    • Eos 简体中文版
    • Print Archive: 2015–2025
  • Science Policy Tracker
  • Blogs
    • Research & Developments
    • The Landslide Blog
  • Newsletter
  • Submit to Eos

Peishi Jiang

Artificial intelligence–generated depiction of two people looking at computer monitors on a desk, small images of nature scenes in circles representing different Earth science applications, and a depiction of Earth surrounded by zeros and ones representing digital data, all in front of a star-filled night sky background.
Posted inScience Updates

A Two-Step Approach to Training Earth Scientists in AI

by Lexie Goldberger, Peishi Jiang, Tirthankar “TC” Chakraborty, Andrew Geiss and Xingyuan Chen 29 April 202523 December 2025

Researchers learned machine learning methods during a boot camp, then applied their new knowledge to real-world research problems during a hackathon.

A view of a bridge, with the New Orleans skyline visible in the distance between the bridge and the water. A purple tint, a teal curved line representing a river, and the text “#AGU25 coverage from Eos” overlie the photo.

Features from AGU Publications

Research Spotlights

New River Chemistry Insights May Boost Coastal Ocean Modeling

9 January 20269 January 2026
Editors' Highlights

Central China Water Towers Provide Stable Water Resources Under Change

9 January 20269 January 2026
Editors' Vox

Hydrothermal Circulation and Its Impact on the Earth System

3 December 20253 December 2025
Eos logo at left; AGU logo at right

About Eos
ENGAGE
Awards
Contact

Advertise
Submit
Career Center
Sitemap

© 2026 American Geophysical Union. All rights reserved Powered by Newspack