The National Science Foundation (NSF) awarded a $752,656 Project Grant under its Geosciences (CFDA 47.050) program to San Diego State University (SDSU) Foundation. This 4-year award from September 2023 to August 2027 will expand the AI Institute for Research on Trustworthy AI in Weather, Climate and Coastal Oceanography (AI2ES) partnership between SDSU, University of California Irvine, and two Hispanic-Serving Institutions. The project will scale up existing AI research and education programs at...
The University of Maryland, College Park was awarded a $413,677 Project Grant from the National Science Foundation Division of Atmospheric and Geospace Sciences to support research titled "Online Uncertainty Quantification for Novel Atmospheric Measurements" from January 1, 2022 through December 31, 2024. The grant funds the development of online uncertainty quantification methods for new types of atmospheric observations to strengthen understanding of the integrated Earth system,...
This $399,162 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop improved artificial intelligence (AI) models for enhancing the computational speed and accuracy of geophysical models used to study air pollution and climate. The project will create "surrogate models" using machine learning to replace computationally intensive components of these models, enabling faster simulations while maintaining accuracy. This will increase...
The National Science Foundation (NSF), through its Geosciences Program (CFDA 47.050), awarded a $129,436 Project Grant to the University of Illinois to convene an international summit in Fall 2024 to discuss the feasibility of creating a special-purpose computational system for frontier Earth system science and climate projection. The scientific objectives of this project are to bring together international leaders from academia, industry, government, and non-profit organizations to examine...
This $300,000 federal Project Grant award, funded by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050), aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to increase the computational speed and accessibility of geoscientific models used for air pollution and climate research. The project, led by the Massachusetts Institute of Technology (MIT), will focus on three key thrusts: 1) creating surrogate models for atmospheric...
The National Science Foundation (NSF) awarded a Project Grant under its Geosciences program (CFDA 47.050) to the University of California San Diego's Scripps Institution of Oceanography in the amount of $346,290. The grant, titled "Beyond Occam: Model Construction and Uncertainty Quantification in Geophysics," aims to develop new computational tools for geophysical data inversion that can accurately model sharp contrasts in geological properties and quantify uncertainties in the...
This Project Grant award, valued at $100,351.00, was provided by the National Science Foundation's Geosciences Program (CFDA 47.050) to New York University (NYU) for a collaborative research project titled "Developing AI Emulator Tools for Extreme Events with Application to Heat Waves and Cold Snaps." The project aims to leverage rapid developments in artificial intelligence (AI) to significantly improve the estimation of rare climate event statistics, such as heat waves and cold...
The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) has awarded a $100,000 project grant to the University of Oklahoma for the project "Ethical and Responsible Artificial Intelligence for Earth Sciences". This 3-year project aims to address challenges around bias in AI systems used for weather and climate modeling. Key activities include: Extending categorization of biases in AI for earth sciences to enable...
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. The project aims to revolutionize earthquake science by using AI to unravel patterns in seismic data, leading to more accurate earthquake monitoring and potentially improved prediction capabilities. Key objectives include improving earthquake...
This $529,722 federal Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) will fund collaborative research by the University Corporation for Atmospheric Research (UCAR) to develop advanced artificial intelligence models for predicting the initiation and evolution of thunderstorms. The project aims to enable significant breakthroughs in understanding the physical and dynamical mechanisms controlling the predictability of convection initiation through the...