Earth AI & Data

Earth scientists Bhavna Arora and Charuleka Varadharajan team up with Computational scientists Julianne Mueller, Deb Agarwal and Reetik Sahu to build deep learning models to predict groundwater levels in California wells.

Earth AI & Data researchers use data-driven methods to accelerate scientific understanding of complex Earth and environmental systems, and enable decision-relevant predictions across the breadth of geosciences.

Background

The Earth AI & Data (EAID) Program Domain launched in December 2021, as the first cross-cutting program domain in the Earth and Environmental Sciences Area that will work across both the Climate and Ecosystems Sciences and Energy Geosciences Divisions. The program domain will focus on research that makes use of Machine Learning, data sciences, informatics, and data management to advance state-of-the-art Earth science observations, modeling and theory.

Some of the activities that will fall under this program include:

Artificial Intelligence and Machine Learning
Data Mining and Statistical Analysis
Data Management and Curation, FAIR Open data
Tools and Cyberinfrastructure for Data-Model/Analysis Pipelines
Technologies for Data Quality Assurance/Quality Control, Synthesis and Integration, Visualization
Autonomous Observations, Edge Computing, 5G and Wireless Networking
Digital Twins, Model-Observation Codevelopment

The scope and activities of this new program will continue to evolve in Spring 2022. Stay tuned for updates!

Background

Featured Projects