Project Grant 2526215
- This Project Grant award of $598,947.00 was provided by the U.S. Department of Agriculture's Agriculture and Food Research Initiative (CFDA 10.310) to Purdue University. The funding will support the development of an end-to-end digital-twinning system for fast and accurate forest inventory, combining cutting-edge remote sensing techniques and AI-based analytics. The project aims to capture high-precision forest biometric and structural data using LiDAR, GNSS, and IMU, and reconstruct digital...
- This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) aims to develop a career pathway model that integrates nontraditional education with industry-based learning experiences to expand the U.S. workforce in artificial intelligence (AI). The $996,879 award to James Madison University will support the "PIVOTS: EDU RURAL: UNCOVERING POTENTIAL - PAVING CAREER PATHWAYS TO ARTIFICIAL INTELLIGENCE THROUGH EXPERIENTIAL LEARNING IN RURAL...
- This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) in the amount of $997,523.00 will fund the "EXPLORATIONS: BRIDGING TO AI AND DATA SCIENCE CAREERS THROUGH EXPERIENTIAL LEARNING AND TRAINING" project at the University of Notre Dame. The primary goal of this 3-year project is to develop a transformative experiential education opportunity that integrates technical training in AI and data science with...
- 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 Project Grant award, valued at $1,018,281 and provided by the National Science Foundation's Office of Advanced Cyberinfrastructure, supports the development of OpenForest4D - a web-based cyberinfrastructure platform for next-generation 4D forest mapping and monitoring. The goal is to apply novel statistical models and artificial intelligence methodologies to a fusion of multi-source remote sensing data to generate on-demand, research-grade estimates of forest structure and above-ground...
- The National Science Foundation awarded a $275,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to Gaia AI, Inc. for a one-year project ending April 2024. The grant funds the development of techniques to combine disparate data sources including LiDAR, satellite imagery, and drone data to construct high-fidelity digital twins of forests. By expressing LiDAR metrics in a way that associates them with top-down imagery, the awardee aims to build...
- This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $108,771 to Duke University to address critical challenges in coordinating federal and state government efforts to respond to rapidly evolving technological and workforce needs, particularly in artificial intelligence and workforce development. The project will employ a phased approach beginning with virtual listening sessions to identify key barriers and...
- The National Science Foundation (NSF) awarded a $499,543 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Bowie State University in Bowie, MD. The goal of this 3-year project is to create and test innovative pathways to prepare students for careers in artificial intelligence (AI) through a combination of hands-on training, career mentoring, and direct work with industry partners. Key components include short certification courses with applied...
- This Project Grant award for $600,000 from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) will fund the development of an interactive web-based platform called OpenForest4D. This platform will enable the generation of high-quality, research-grade estimates of forest structure and above-ground biomass across large spatial and temporal scales by applying novel statistical and AI models to a fusion of multi-source remote sensing data. The University of Florida...
- This $246,355 Project Grant award from the National Science Foundation's (NSF) Integrative Activities (CFDA 47.083) program supports the MAINE-FOREST research incubator project led by the University of Maine. The project aims to enhance Maine's forest-based economy, sustainability, and technology ecosystem to accelerate innovation. Key focus areas include environmental AI/informatics, cellulosic nanomaterials, rural and tribal resilience, and smart rural development. The 4-year project will...
This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships program) provides $990,272 to Purdue University to address critical workforce development challenges at the intersection of emerging technology and natural resource management. The "Driving Real-World Integration of AI into Digital Forestry and Natural Resources (DRIAD)" program will build an inclusive, scalable, and collaborative ecosystem for experiential learning. Through immersive, real-world training and cross-sector partnerships, DRIAD will prepare a new generation of professionals to lead in technology-enabled natural resource management. The three-year program will support at least 60 participants through a cohort-based model featuring a residential summer short course, monthly virtual professional development sessions, and ongoing faculty/industry mentorship. Participants will complete applied projects using AI, uncrewed aerial systems, and internet of things technologies for data collection and analysis in the forestry and natural resources sectors.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $990.3k | 8/22/25 |