Project Grant 2425852

Award Date 9/1/24
Completion Date 8/31/27
Dollars Obligated $508K
Federal Grant Program
47.050
Assistance Type
Project Grant
Place of Performance
El Paso, TX 79968, USA
Similar Awards
The National Science Foundation awarded a $270,911 Project Grant under its Geosciences Program (CFDA 47.050) to Colorado State University to design an algorithm for unsupervised deep clustering of seismic time series data at volcanoes. The project aims to develop a multimodal variational autoencoder approach to process continuous seismic data at Erebus Volcano in Antarctica, with the objective of blindly resolving different types of seismic events, including icequakes, lava lake eruptions, and...
This $237,804 Project Grant award from the National Science Foundation's Polar Programs (CFDA 47.078) will support the University of New Mexico's research to study the magmatic plumbing system beneath Mount Erebus, an active volcano in Antarctica. The project will apply deep learning algorithms to analyze decades of seismic data in order to detect, locate, and characterize the full range of seismic activity at Mount Erebus. This comprehensive analysis is intended to better reveal the dynamics of...
This National Science Foundation (NSF) Division of Earth Sciences Project Grant, funded under CFDA 47.050 Geosciences, provides $180,000 over 2 years starting August 1, 2023 to explore the significance of spatial field data from integrated satellite remote sensing and GPS time series for machine learning and volcanic early warning applications. The project aims to integrate data from satellite radar, GPS, and high-resolution digital elevation models to generate 3D time series of surface...
This Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) provides $352,839 to the University of Texas at El Paso from April 2021 through September 2023. The funding supports analysis of a high-quality aftershock data set from the 2017 Tehuantepec (M8.2) offshore Mexico earthquake. As part of basic research into integrated earth systems, the University will leverage the unique data to gain insights into seismic processes within subduction zones. Results from the...
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $296,096 to Brown University provides funding to investigate the crust and uppermost mantle beneath active volcanoes using new seismic analysis techniques. The 2-year project, starting on Sep 1, 2024, aims to advance understanding of how magma storage and migration affect the eruptibility of volcanoes in regions like Yellowstone, the Cascades Arc, and the Altiplano-Puna Volcanic Complex. Key...
This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $299,539 to the Georgia Tech Research Corporation to develop advanced machine learning models and algorithms to study the intricate dynamics of earthquakes. The key objectives are to uncover precursory signals that may precede major seismic events, enhance earthquake forecasting capabilities, and create open-source tools accessible to researchers and practitioners worldwide. The...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $300,001 to Trustees of Boston University to develop a foundational Artificial Intelligence (AI) model for advanced seismic data analysis to improve earthquake detection, localization, and characterization. The project aims to revolutionize earthquake science by using AI to unravel patterns in seismic data, leading to more accurate tools for earthquake monitoring and potential prediction....
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $220,803 to Texas A&M University aims to investigate the complex behavior of earthquake swarms and their relationship to aseismic processes and fault zone heterogeneity in volcanic and geothermal areas. The research team will analyze seismic and geodetic data, develop computational models, and study major earthquake swarms in Hawaii and California to gain insights that can improve earthquake...
The National Science Foundation (NSF) Division of Earth Sciences awarded a $484,930 Project Grant to Columbia University to develop a novel multi-camera system for continuous, real-time monitoring of active volcanoes. Under the Geosciences program (CFDA 47.050), this two-year project aims to create an integrated system that can autonomously observe volcanoes across visible, thermal, and ultraviolet wavelengths to extract critical monitoring data. The system will automatically analyze the video...
This $158,481 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will support collaborative research by Lehigh University to investigate the relationship between changes in glaciers, topography, and the behavior of active volcanoes in Chile over the past 50,000 years. The research aims to generate high-resolution records of volcanic activity, ice retreat, and landscape evolution, and use this data to explore how crustal loading changes driven...

This National Science Foundation (NSF) Project Grant award, funded under the Geosciences program (CFDA 47.050), provides $507,530 to The University of Texas at El Paso (UTEP) from September 1, 2024 to August 31, 2027. The project aims to develop an unsupervised deep learning algorithm to automatically identify and classify different types of seismic activity, such as icequakes, lava lake eruptions, and ash vent signals, at Erebus Volcano in Antarctica. Once validated at Erebus, the method will be tested at other glaciated volcanoes in the Aleutian Islands and Cascades regions. The project also includes hosting a cross-disciplinary machine learning and data science workshop at UTEP to expose underserved graduate and postdoctoral students to these emerging research techniques. No sub-awards are planned under this grant.

Generated 6/17/25, 3:29 AM