🚀 AI for Earth Sciences Workshop 2026 – March 23‑24 in Santa Fe

Grounded technology for a complex planet.
Industry-focused. Public-friendly.

Join us at the Santa Fe Convention Center for two days of expert talks, interactive discussions and networking on the real‑world use of AI and machine learning in climate, energy and Earth‑system applications.

💡 What to Expect

This workshop brings together practitioners, researchers and decision‑makers to explore how AI is solving—or sometimes complicating—challenges in climate, energy and Earth systems.

• No AI, programming or geoscience expertise required

  A beginner‑friendly primer kicks off the event.

• Format: short expert talks, moderated panels, Q&A, networking breaks, light refreshments and a Day‑1 cocktail reception.
• You’ll leave with concrete insights, lessons learned from operational deployments, and new connections across research, industry and government.

👥 Who Should Attend?

• Industry partners & technology providers
• Scientists, engineers and technical professionals
• Sustainability, energy and resource managers
• Policy makers and program leaders
• Students and curious minds interested in applied AI

New to AI or Earth science?
Start with our opening session:

Intro to AI for Earth Sciences: A Primer – plain‑English concepts, real examples, and the key ideas you need to get the most from the workshop.

🗓 Workshop Agenda (March 23‑24)

Day 1 – Monday, March 23

Morning
9 – 9:15 AM: Introduction & Welcoming Notes: The Future of AI-Enabled Earth Insights
9:15 – 10 AM: ⭐ EnviTrace presents: Intro to AI for Earth Sciences: A Primer – Designed for beginners and non-experts
10 – 10:30 AM: Earthquake Dynamics from Graph Neural Networks
10:30 – 11 AM: Using AI/ML to Understand Arctic Snow
11 – 11:30 AM: Break & Mingle
11:30 AM – 12:15 PM: AI Foundation Models for Complex Tectonic Applications
12:15 – 1:45 PM: Lunch Break

Afternoon 1:45 – 2:30 PM: The Transparent Earth: A Multimodal Foundation Model for the Earth's Subsurface
2:30 – 3 PM: Solving Probabilistic Inverse Problems with Generative AI
3 – 3:15 PM: Break & Mingle
3:15 – 3:45 PM: Anatomy of a Seismic Time Series: Information, Prediction, and Limits on Learning
3:45 – 4:30 PM: Multilayer Perceptron Model for Predicting Conservative Solute Transport in Streams and Rivers
4:30 – 5:15 PM: Panel of Speakers
5:30 – 7:30 PM: Offsite Reception : Local craft beer & bites at The Brakeroom, Santa Fe Brewing Company

Day 2 – Tuesday, March 24

Morning 9 – 9:15 AM: Day 2 Introduction & Welcoming Notes: The Future of AI-Enabled Earth Insights
9:15 – 10 AM: From Rule Curves to Rewards: Deep Reinforcement Learning for Reservoir Management in Water-Stressed Systems
10 – 10:45 AM: Harnessing AI and ML to Advance Water Management
10:45 – 11 AM: Solving Inverse Problems with Machine Learning for Real-Time Monitoring of Subsurface Plumes
11 – 11:15 AM: Break & Mingle
11:15 AM – 12 PM: Leveraging Machine Learning for Hydrothermal Resource Assessments
12 – 1:30 PM: Lunch Break

Afternoon 1:30 – 2 PM: Trusting AI Models for Contaminant Plume Prediction
2 – 2:30 PM: Artificial Intelligence for Geophysical Subsurface Modeling: Applications to Carbon Sequestration
2:30 – 2:45 PM: Break & Mingle
2:45 – 3:15 PM: Talk TBD
3:15 – 3:30 PM: When Earthquakes Meet AI: Improving Seismic Monitoring in New Mexico
3:30 – 4 PM: Single-Station Earthquake Early Warning System Using Machine Learning
4 – 5 PM: Closing Round Table /Expert Panel Q&A

🎙 Featured Speakers

We’re excited to host more than 20 experts from national labs, academia and industry, including:

• Christopher Johnson, PhD – LANL seismic AI
• Thushara Gunda, PhD – Sandia water‑management ML
• Daniel O’Malley, PhD – LANL subsurface foundation models
• Shubhendu Singh, PhD – reinforcement learning for reservoir management
• Noah Hobbs, PhD – contaminant plume prediction
• Dunyu Liu – graph neural nets for earthquake dynamics
• Alice Nuz – ML for real‑time subsurface plume monitoring
• Urbi Basu – improving seismic monitoring in New Mexico
• Adewale Amosu, PhD – AI for geophysical subsurface modeling
• Katrina Bennett, PhD – using AI/ML to understand Arctic snow
• Lina Rodriguez – solute transport in streams and rivers
• Stanley Mordensky – ML for hydrothermal resource assessments
• Mikhael Semaan, PhD – seismic time‑series information and prediction
• Velimir “Monty” Vesselinov, PhD and Trais Kliphuis – EnviTrace leadership and AIML insights
• Grant Bromhal – senior science advisor on subsurface energy
• …and many more from EnviTrace, LANL, UTIG, Stanford, USGS and other leading institutions.

📍 Why Santa Fe?

Santa Fe blends science, culture and high‑desert landscapes—ideal for focused conversation about applied AI.
The venue sits adjacent to the historic Plaza, walkable from downtown hotels.
Travel via Santa Fe Regional Airport (SAF) or Albuquerque (ABQ) with a one‑hour drive.

🤝 Sponsors & Support

Thanks to:

• NM Economic Development Department
• City of Santa Fe – Go Local! Program
• Java Joe’s - In Kind Sponsor
• Santa Fe Brewing Company - In Kind Sponsor

We’re still accepting sponsorships! Flexible tiers include tickets, branding and promotion.
👉 Email to learn more.

📝 Registration

Ready to join us?
Visit www.envitrace.com and enter your email to register.

We look forward to welcoming you for a collaborative, hands‑on experience that sparks ideas and advances how AI is applied to our complex planet. 🌍✨