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 three-year, $489,305 National Science Foundation Project Grant will support the American Geosciences Institute in conducting research on how geoscience programs have adapted to natural disruptive events. Funded through the Geosciences program (CFDA 47.050), the project aims to examine how such programs have managed impacts, identify operational and pedagogical outcomes that evolved from impacted departments, and determine how the geoscience community has leveraged lessons beyond directly...
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award in the amount of $317,272 will fund the development of new computational methods to simulate and advance the understanding of the dynamic interplay between the Earth's surface and interior processes. The principal awardee, the University of Colorado, will couple two widely used community codes - ASPECT (originally for simulating mantle dynamics) and LANDLAB (for modeling surface processes) - to enable...
This $499,943 Project Grant, awarded by the National Science Foundation's Geosciences Program (CFDA 47.050), aims to build sustainable open science communities in the hydrology, oceans, and seismology disciplines. The project's key objectives are to: Develop community-vetted, discipline-specific data sharing frameworks and a web platform to implement them. Cultivate disciplinary leaders and liaisons to help sustain the data sharing frameworks. Capture the community practices to inform future use...
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) Project Grant award under the Geosciences program (CFDA 47.050) provides $227,396 to Colorado State University to conduct collaborative research on analyzing global seismic data to understand and quantify the evolution of ocean wave activity and its impact on Earth systems. The project aims to advance the understanding of long-term observational records of Earth's microseism field, investigate geophysical source processes driving seismic signals generated...
This National Science Foundation (NSF) Geosciences (CFDA 47.050) Project Grant award to the New Mexico Institute of Mining and Technology (New Mexico Tech) is funding the development of new computational methods to simulate and advance the understanding of the dynamic interplay between Earth's surface and interior processes. The $123,880 award, running from September 1, 2024 through August 31, 2028, will couple two widely used open-source community software packages - ASPECT and LANDLAB - to...
This $399,162 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to improve the computational speed and efficiency of geoscientific models, such as those used for air pollution and climate research. The project will create simpler "surrogate" machine learning models for key components like atmospheric chemistry and wildfire plume rise, allowing for...
This Project Grant award from the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) will support collaborative research to investigate seismic cycle processes in the "earthquake critical zone" - the upper 1 km of fault zones where seismic waves, rocks, fluids, and the built environment intersect. The $277,792 award to Brown University, with a period of performance from September 1, 2024 to August 31, 2029, will fund research on two major continental strike-slip...
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $249,272, effective January 1, 2026 through December 31, 2028, supports the development of machine learning techniques to generate realistic, synthetic ground motion simulations for studying large earthquakes. The project, conducted by the University of Nevada, Reno (UNR), aims to create a physics-based, parametric surrogate model called Operator Inference (OPINF) that can produce seismic ground...