Why AI?
AI and ML, combined with physics‑informed models and curated geoscience data, are revolutionizing Earth science application for renewable energy exploration. These approaches enable faster, more accurate insights into the subsurface conditions and processes. This helps to identify and manage critical mineral resources, optimize renewable energy systems, monitor environmental impact, and make decisions to safeguard our communities and our planet.
Why Earth Science?
Earth science sits at the center of today's most urgent challenges: enabling low‑carbon energy systems, protecting water resources, securing critical minerals, and understanding our changing climate. By bringing together geoscientists, engineers, data scientists, and decision makers, this workshop focuses on how AI can deepen our understanding of the subsurface and support practical, field‑ready industrial solutions.
Why Santa Fe?
Historic Santa Fe, New Mexico sits at the crossroads of science, technology, and culture - it is home to world-class national laboratories, universities, and a thriving innovation ecosystem. This workshop unites AI and Earth Science Experts to accelerate projects which protect communities, manage resources, and advance sustainable solutions.
Over two days, participants will engage in keynotes, technical sessions, hands-on exercises, and collaborative discussion forums designed for researchers, practitioners, startups, and policymakers building the next generation of physics-informed AI tools.
At a Glance
- Dates
- March 23 – 24, 2026
- Location
- TBD
- Pre-Registration
- Free
- Registration
- $150.00
- Abstract & Registration Deadline
- January 17, 2026
- Audience
- Researchers, practitioners, startups, regulators
Workshop Themes
We welcome contributions showing how AI, machine learning, and high-performance computing can drive sustainable resource use, innovation, and environmental stewardship.
Physics-informed AI and hybrid modeling
Geothermal resource development
Waste management and subsurface storage
Critical minerals and rare earth exploration
Hydrogen reservoirs and underground energy storage
Groundwater quality and environmental remediation
Induced seismicity forecasting
Remote sensing and spatiotemporal analysis
Program Preview
AI Foundations for Earth Sciences
9:00 – 10:00 AM
Keynote: The Future of AI-Enabled Earth Insights
State-of-the-art methods that blend physics, data, and machine learning for subsurface intelligence.
10:30 – 11:45 AM
Panel: TBD
TBD
1:30 – 4:30 PM
Technical Sessions & Abstract Talks
Rapid-fire presentations on seismic imaging, reservoir modeling, climate risk, and environmental monitoring.
5:00 – 6:30 PM
Networking Reception
Meet fellow practitioners, researchers, and sponsors while enjoying refreshments.
Applied AI for Subsurface Operations
9:00 – 11:30 AM
Workshop: TBD
TBD
1:00 – 3:30 PM
Case Studies & Abstract Talks
Real-world deployments in geothermal, hydrogen storage, carbon management, and mineral exploration.
4:00 – 5:00 PM
Closing Roundtable
Collaborative roadmap for AI in Earth Sciences innovation, workforce development, and open tooling.
Call for Abstracts
We invite short abstracts (300 words max) highlighting novel AI methods, open datasets, reproducible workflows, and impact-driven applications in earth sciences. Abstracts will shape oral presentations, lightning talks, and posters across both days of the workshop. We encourage submissions that advance understanding, foster collaboration, and promote open science principles.
- •Include title, authors, affiliations, and a primary contact email.
- •Indicate preferred presentation format (oral, lightning, or poster).
- •Note any data-sharing or open-source resources associated with your work.
- •Submissions close on January 17, 2026. Acceptance notifications will be sent by February 10, 2026.
Submission Checklist
- Contact Information
- Primary author name, email, and institutional affiliation.
- Co-authors
- Names, emails, and affiliations for all contributing authors.
- Abstract Body
- Up to 300 words describing the challenge, methods, data, and outcomes.
- Keywords
- Choose 3–5 keywords to help us organize tracks and reviewers.
Logistics & Travel
Santa Fe is easily accessible via Albuquerque International Sunport (ABQ) with direct shuttle service to downtown. Details will be shared with confirmed attendees.
Complimentary Wi-Fi and exhibition space will be available throughout the venue. Lunch and light refreshments are provided on both days, including a Monday evening networking reception and cocktail hour.
Key Dates
- Pre-registration Opens: November 20, 2025
- Abstract Submission Deadline: January 17, 2026
- Notification of Acceptance: February 10, 2026
- Final Program Release: March 1, 2026