The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Massachusetts (UMass) to investigate distributed machine learning for climate modeling and weather forecasting. Through this EAGER (EArly-concept Grants for Exploratory Research) award, UMass will leverage existing testbeds, including the CASA radar network, to support the development of a National Discovery Cloud for Climate...
The National Science Foundation (NSF) awarded the University of Notre Dame a $500,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for the period of October 1, 2023 to September 30, 2027. The project, titled "COLLABORATIVE RESEARCH: DESC: TYPE II: REFRESH: REVISITING EXPANDING FPGA REAL-ESTATE FOR ENVIRONMENTALLY SUSTAINABILITY HETEROGENEOUS-SYSTEMS," aims to develop innovative approaches to minimize the environmental impact of...
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 (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...
The University of Notre Dame DU Lac has been awarded a $1,937,759 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to develop "NBFLOW", a software toolkit for converting computational notebook computations into workflows that can be efficiently executed on high-performance computing clusters or clouds. This cutting-edge research aims to bridge the gap between interactive notebook environments and...
This $202,000 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) supports the development of data-driven methods for predicting extreme weather events under climate change. The grant aims to create neural network models capable of capturing the statistics of extreme events, such as heat waves and droughts, in future climate projections. The work builds on previous research on modeling chaotic systems and addressing the spectral bias in neural networks....
This $199,316 Project Grant award from the National Science Foundation (NSF) Geosciences Program (CFDA 47.050) aims to advance the understanding of how extreme weather events, such as heavy rainfall and flooding, may change in response to future climate scenarios. The research will evaluate whether artificial intelligence and machine learning can provide a faster, more efficient alternative for simulating rainfall patterns compared to traditional climate models. The project will train students...
This $255,344 National Science Foundation project grant funds research at the University of Notre Dame aimed at advancing understanding of interactions between urban systems and storms and heatwaves. Specifically, the grant supports analysis of how intra-urban land surface properties and characteristics, urban aerosols, and changing urban landscapes impact extreme weather events in cities like Chicago, New York, and Denver. The University will utilize numerical modeling, new measurement...
This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $300,000 in funding to the Massachusetts Institute of Technology (MIT) from November 15, 2024 to October 31, 2027. The award supports the development of machine learning-powered "surrogate models" to increase the computational speed and efficiency of geophysical models used for air pollution and climate research. Key project objectives include: Creating simplified,...
The University of Notre Dame received a $283,438 project grant award from the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant supports research titled "EAGER: An AI-Driven Paradigm for Collective and Collaborative Community Resilience in the COVID-19 Era and Beyond" from November 1, 2021 to July 31, 2022. The grant funding will enable the University of...