Project Grant 2518299
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant, awarded on February 15, 2024 for $275,000.00, supports the development of a weather forecasting and climate prediction tool for subseasonal forecasting, extreme weather events, and long-term climatological changes. The project aims to establish the feasibility of utilizing physics-informed machine learning to create probabilistic models of crucial climatological parameters and extreme...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award in the amount of $274,912 provides funding to Salient Predictions Inc., a for-profit small business, to develop a machine learning model that can forecast extreme heat or cold events up to one month in advance. The goal is to create a predictive model that combines weather forecasting technologies with machine learning to deliver more accurate sub-seasonal temperature forecasts,...
- 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 $185,453 federal Project Grant award, provided by the National Science Foundation's Geosciences Program (CFDA 47.050), supports collaborative research to quantify shifts in maize production in North America over the past 1,200 years. The research leverages paleoclimate data, weather modeling, and crop simulation techniques to understand the impacts of historical megadroughts and climate change on food production. Key activities include developing open-source software for climate field...
- This federal Project Grant award of $400,000.00 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program investigates the challenges faced by farmers in adapting to environmental change and climate change. The research project, titled "Equitable Pathways to Climate-Smart Agriculture: Rethinking Adaptation as a Continuum", examines how farmers' ability to adapt farming practices varies, and the long-term impacts of adaptation on the...
- This Project Grant award of $284,207.00 from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports research at Cornell University examining farmer decision-making processes related to climate adaptation through the adoption of new crop varieties. The key products of this 3-year project include: (1) developing a multi-scale modeling approach combining land surface modeling, satellite...
- This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the official federal grant program "Computer and Information Science and Engineering" (CFDA 47.070), provides $2,017,780 to the University of Illinois from October 1, 2021 through September 30, 2025. The funding supports research and community engagement efforts to develop integrated approaches for building smart and connected nutrient management communities in the US Corn...
- This National Science Foundation (NSF) Project Grant award of $748,674 provides funding under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop predictive models and co-produce actionable outputs with stakeholders to improve resilience of global and local food security in the face of climate extremes. The University of California, Santa Barbara leads this research collaboration awarded on December 15, 2022 for completion by November 30, 2023. The project will...
- This Project Grant award of $798,840 from the National Science Foundation's Geosciences Program (CFDA 47.050) supports research at the University of California, Los Angeles (UCLA) to develop deep learning-based stochastic models for improving forecasts of high-impact weather events such as heat waves, cold snaps, wildfires, and heavy rainfall. The project aims to integrate physics-based atmospheric science with advanced machine learning techniques to enhance the ability to predict these...
- The National Science Foundation (NSF), through its Social, Behavioral, and Economic Sciences program (CFDA 47.075), awarded a $399,142 Project Grant to The Regents of the University of Colorado, to be executed from August 1, 2023 to July 31, 2026. The project aims to analyze how spatial impacts of climate change on agriculture are affected by trade and risk management strategies. Key activities include: (1) estimating trade responses to climate shocks and risks, (2) estimating planting responses...
This Project Grant award of $499,645.00 from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop skillful and actionable subseasonal to seasonal (S2S) predictions of weather extremes and crop yields to help mitigate negative impacts on Midwest agriculture. The project will leverage machine learning methods and the latest advancements in prediction to address the unpredictability of weather extremes, which disproportionately affect the agricultural sector. By improving the accuracy of S2S forecasts, the project seeks to empower agricultural stakeholders to take timely mitigative actions, enhance food security, and improve agricultural sustainability and resilience in the Midwest region. The award was made to the University of Illinois, a leading public research institution with extensive experience in federal contracting and grant work across multiple scientific and technological domains.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $499.6k | 8/15/25 |