Project Grant 2230035
- This $100,000 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund the development of a cybertraining program to increase the capacity of Arctic researchers to employ artificial intelligence (AI)-driven techniques on Arctic data. Arizona State University will lead the effort to establish an Arctic-AI research network for collecting AI training needs and sharing resources. Customized training will be provided through in-person workshops and online...
- This $325,000 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will support collaborative research by the Massachusetts Institute of Technology (MIT) to advance capabilities for understanding and predicting critical aspects of the Earth system. The project aims to use artificial intelligence (AI) and a novel Ensemble Kalman Diffusion Guidance framework to gain more accurate and reliable insights into aerosol-cloud interactions and Arctic sea...
- This Project Grant award from the National Science Foundation (NSF) Division of Polar Programs (CFDA 47.078) provides $193,194 to the Woods Hole Oceanographic Institution, a private non-profit research organization, to fund a postdoctoral fellowship focused on leveraging community structure data and machine learning techniques to improve microbial functional diversity modeling in the Arctic Ocean ecosystem. The key products and services to be delivered under this award include: Statistical...
- The National Science Foundation (NSF) awarded a $805,132 project grant under the Geosciences program (CFDA 47.050) to the University of Colorado-Denver to develop novel artificial intelligence (AI) methods to automate sea ice classification from satellite imagery. The project aims to address challenges in manually producing maps of sea ice conditions, which are critical for climate monitoring, marine navigation, and offshore operations. The key products will be the development of weakly...
- This Project Grant award, totaling $317,922, was provided by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050). The grant will fund a collaborative research project to address data irregularities in sea ice classification using artificial intelligence (AI) methods. The project will develop novel weakly supervised techniques to effectively learn from existing label data, despite irregularities, in order to automate sea ice classification. Key products and...
- This $658,592 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) to the California Institute of Technology (Caltech) will advance capabilities to understand and predict two critical aspects of the Earth system - the cooling effect of atmospheric aerosols and their impact on clouds, as well as the rate of Arctic sea ice melt. The project will use advanced artificial intelligence (AI) and a novel framework called Ensemble Kalman Diffusion Guidance to learn...
- The National Science Foundation (NSF) awarded a $660,984 Project Grant under the Geosciences program (CFDA 47.050) to Brown University. The grant, titled "CAIG: Navigating the Climate Science Deluge: Training Language Models to Assist in Comprehensive Assessments," aims to develop an artificial intelligence (AI) climate science chatbot assistant to help researchers more efficiently review and summarize the growing body of climate research literature. The project will create new methods...
- This Project Grant award of $199,316.00 from the National Science Foundation's (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 project, titled "EMBRACE-AGS-SEED: Harnessing the Power of Machine Learning to Generate Ensembles of Regional Climate Projections," will evaluate whether artificial intelligence and machine learning can provide...
- This $191,725 National Science Foundation Project Grant supports research at Lehigh University to develop artificial intelligence solutions for navigating and analyzing big data from polar ice sheets. Funded through the NSF's Computer and Information Science and Engineering program, the one-year award will investigate deep learning and hybrid machine learning approaches to automatically mine and understand heterogeneous datasets collected by the Center for Remote Sensing of Ice Sheets....
- 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 three-year, $100,000 Project Grant from the National Science Foundation's Office of Integrative Activities, under the Geosciences program (CFDA 47.050), will support the development of cybertraining programs focused on artificial intelligence and machine learning techniques for Arctic scientists. The Woodwell Climate Research Center will lead an initiative to establish an Arctic-AI research network and provide customized training through both in-person workshops and online self-paced learning. This training will help broaden the adoption of advanced AI methods across Arctic science disciplines by increasing researchers' data science skills. Additionally, an open "Arctic GeoAI Challenge" competition will provide hands-on technology training and recruit new talent to develop AI solutions for Arctic big data problems. Training materials will be deposited in public repositories to ensure long-term access. The University of Illinois will receive $25,000 under a sub-award to support model deployment training focused on scaling AI models for large-scale Arctic data and spatial analyses.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $100.0k | 8/23/22 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
BGX40802S | University Of Illinois | Project Grant 2230035 | $167.5k | 3/7/25 |