Project Grant 2425853
Award Date
9/1/24
Completion Date
8/31/27
Dollars Obligated
$271K
Federal Agency
Office of Integrative Activities
Federal Grant Program
47.050
Assistance Type
Project Grant
Place of Performance
Fort Collins, CO 80521, USA
Similar Awards
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...
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 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 Project Grant award for $387,558 from the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) will support a postdoctoral fellowship at the University of Oregon. The project aims to develop methods for extracting statistically robust patterns from existing volcanic records, analyzing volcanism as a temporal, spatial, and spatio-temporal process. Key goals include identifying the most active volcanoes, delineating the extent of volcanic fields, and forecasting the timing...
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...
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 $589,708 Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) supports research to advance artificial intelligence (AI) methods for imaging and monitoring the Earth's subsurface. The project aims to develop a multi-task deep learning inversion framework that can simultaneously estimate subsurface velocity structures and earthquake source parameters using passive seismic data. By integrating deep learning with conventional full-waveform inversion...
This Project Grant award of $655,938 from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund a collaborative research project to conduct 3D multichannel seismic surveys at the East Pacific Rise volcanic system. The goal is to create high-resolution imagery that can be used to investigate how the magmatic and hydrothermal systems have changed over the past decade, providing insights into volcanic cycles on decadal timescales. The project will partner with industry...
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....