Upcoming Event: USACM & Oden Institute

USACM: Artificial Intelligence and Digital Twins for Earth Systems

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Abstract

Artificial Intelligence/Machine Learning (AI/ML) technologies have grown exponentially over the past decade, and there is increasing interest to integrate these technologies into energy and Earth systems modeling. Digital twins (DTs) are computational models that are dynamically updated using data from their physical twins to persistently represent the behavior of unique physical systems or processes, and serve as a basis for model predictive decision making. They present unique opportunities for integrating emerging AI/ML technologies. This workshop will bring together researchers working to integrate AI/ML methods within Earth systems modeling towards creating predictive DTs. We expect this workshop to span a wide range of topics, including but not limited to:

• Data-driven subgrid-scale parameterizations for subgrid-scale physics

• Development of efficient data driven surrogates to reduce simulation times

• Development of coupling methodologies that rigorously bring together conventional and data driven models

• Data-driven discovery of unknown physics

• Mathematical, statistical, and computational foundations underlying DTs

• Data assimilation and statistical inverse problems

• Optimal control and decision making under uncertainty

• Optimal experimental design

Registration includes access to all technical sessions, morning and afternoon breaks and lunches.

Early Registration: May 1 - July 31, 2025

Early Member*: $150
Early Non-Member: $200
Early Student: $100

Late Registration: August 1 - September 24, 2025 

Late Member*: $250
Late Non-Member: $300
Late Student: $200

*Member rates apply if you are a member in good standing with USACM. 
If you do not know your standing, please email us at admin@usacm.org.

Payments can be made via credit card.

If it is necessary to cancel a registration, you must request by email a refund before September 1, 2025.  No refunds will be granted beginning September 2. A $20 administrative fee will apply to all refunds.