This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) in the amount of $237,361 provides funding to the University of California, Irvine for a 3-year research project focused on advancing predictive understanding of landscape evolution and erosion under changing climate conditions. The research aims to: (1) extract local geomorphic transport laws driving landscape evolution using large-scale experimental data and novel...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $353,178 to the University of Florida to develop a transformative AI-based framework for generating high-fidelity, physically consistent, and uncertainty-calibrated geoscience data. The goal is to overcome limitations in observational infrastructure and computational cost to produce enhanced datasets that will support better decision-making in disaster preparedness, emergency response,...
This Project Grant award, funded by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050), supports research to develop new technologies that integrate advanced artificial intelligence (AI) and machine learning (ML) with established geoscientific domain knowledge to enhance understanding of landslide causality. The $674,291 award, effective October 1, 2024 through September 30, 2027, will enable the Research Foundation of the City University of New York (RFCUNY) to:...
This Project Grant award of $500,000.00 from the National Science Foundation's Geosciences Program (CFDA 47.050) is funding the development of a transformative AI-based framework for generating high-fidelity, physically consistent, and uncertainty-calibrated geoscience data. The goal is to overcome limitations in observational infrastructure and computational cost to produce enhanced datasets that can improve decision-making for disaster preparedness, emergency response, and infrastructure...
This $126,270 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop new capabilities to monitor and understand forest carbon dynamics in the Earth system. The key products and services to be delivered include: Cross-platform and cross-region learning frameworks to enable fine-scale carbon dynamics monitoring at large geographic scales. High-fidelity fast approximations of theory-based carbon forecasting models using new meta-learning...
This five-year, $475,451 National Science Foundation project grant in the Geosciences program (CFDA 47.050) will support research examining how topography preserves details of the seismic cycle. The principal investigator will develop computational landscape simulations under varying tectonic and climatic conditions to identify topographic signatures of the seismic cycle. They will then assess whether these signatures are recognizable in natural landscapes with independent constraints on seismic...
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...
The National Science Foundation awarded a three-year $336,534 Project Grant to the University of Colorado Boulder under the Geosciences program (CFDA 47.050) to support collaborative research on the role of extreme rainstorms and hydroclimatic regimes on arid escarpment retreat and sub-cliff slope evolution. The research funded through this award will strengthen understanding of integrated Earth system processes through basic research in atmospheric, earth, and ocean sciences as outlined under...
This Project Grant from the National Science Foundation Division of Earth Sciences provides $174,000 to support research on the evolution of landscapes buried by Quaternary sediments. The two-year award, made effective February 1, 2022 through January 31, 2024, will fund work advancing fundamental knowledge and understanding of the integrated Earth system through basic research in the atmospheric, earth, and ocean sciences. Specifically, the grant recipient will conduct studies of landscapes...
This Project Grant award of $458,784 from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports a research project at Lehigh University focused on enhancing disaster response and recovery capabilities. The project aims to develop advanced, physics-informed machine learning models that integrate autonomous systems and numerical hazard models to improve real-time damage assessment and decision-making for natural disasters such as...