This $324,213 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel AI infrastructure to integrate multi-scale sensing data and 3D modeling for enhanced crop monitoring and assessment. The key products to be delivered include: An AI system that integrates satellite, drone, and in-situ sensor data to accurately model 3D crop structures, including both above- and below-ground...
The National Science Foundation (NSF) awarded a $382,000 Computer and Information Science and Engineering (CISE) program grant (CFDA 47.070) to North Carolina Agricultural and Technical State University (NC A&T) to expand AI research, education, and workforce development capabilities at the institution. The 2-year project, running from October 2024 to September 2026, aims to: Develop robust, explainable, fair, and privacy-preserving AI models for COVID-19 detection and analysis of biomedical...
This $600,000 Project Grant awarded by the National Science Foundation (NSF) Division of Computing and Communication Foundations will fund the development of an innovative aerial imaging system that incorporates state-of-the-art artificial intelligence (AI) for real-time data processing and analysis. The project, titled "CISE-MSI:DP:REAL-TIME AERIAL IMAGING WITH EDGE AI," is a collaboration between students and faculty at Norfolk State University (NSU), a minority-serving institution...
This $2,999,566 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) will train 21 doctoral students, including 10 NSF-funded trainees, at the convergence of plant science and artificial intelligence (AI) to accelerate the translation of agricultural research from the lab to the field and market. The grant will establish a transdisciplinary graduate training program at North Carolina State University, in partnership with Fayetteville State...
The National Science Foundation Division of Computer and Network Systems awarded the University of Washington a $2,018,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to develop crowd-sourced and artificial intelligence tools for mapping, analyzing, and visualizing sidewalk accessibility data to support more inclusive cities. The four-year grant period runs from October 1, 2021 through September 30, 2025. As part of the grant's goals to...
This $379,518 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports an effort to expand artificial intelligence (AI) teaching and research capacity at Chicago State University (CSU), a predominantly Black institution. The key objectives of the "AI@PBI" project are to: Develop AI awareness and equip CSU faculty across disciplines with knowledge of AI and AI tools to integrate into their courses;...
The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Washington to support a "Meta-Workshop on AI to Accelerate Scientific and Engineering Discovery (AI2ASED)". The goal of the workshop is to bring together leading experts in AI, machine learning, and data science from across various scientific and engineering disciplines to discuss how these data-driven approaches can be...
This $250,000 National Science Foundation project grant supports the development of spatiotemporally transferable machine learning algorithms for enabling cross-country and cross-hemisphere in-season crop mapping. Funded under the Computer and Information Science and Engineering program, principal investigator George Mason University will design algorithms trained with U.S. agricultural data that can be applied to satellite imagery of foreign countries to generate in-season crop maps without...
This EAGER (Early-concept Grants for Exploratory Research) federal Project Grant award of $300,000 is provided by the National Science Foundation through its Office of International Science and Engineering (OISE) program (CFDA 47.079). The goal of this 2-year project is to develop and deploy artificial intelligence (AI)-driven tools to enhance agricultural productivity and sustainability worldwide. The key products and services to be delivered include: (1) Developing hybrid machine learning...
The University of Washington was awarded a $316,356 project grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund research from October 1, 2021 to September 30, 2025 to develop novel algorithms and tools that empower individuals who are blind to safely manage private visual content. The goal is to advance computing and information sciences research...
The University of Washington received a $1,535,000 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Program (CFDA 47.070). The grant, awarded in December 2023, aims to advance the integration of artificial intelligence (AI) and smart technologies into Black diasporic urban farming practices. The project will: (1) study sociotechnical ecosystems involving AI to support diasporic urban farming; (2) collaboratively develop AI-based technologies that better integrate with diasporic knowledge; and (3) assess the impact of AI-based farming technologies on diasporic communities and industry partners. The research focuses on addressing labor needs, improving ecosystem management, and innovating mechanisms for healthy soil and nutrient quality within these farming communities. This work involves close collaboration with three farming organizations, three industry partners, and wider diasporic farming networks, with oversight from experts in AI, human-computer interaction, geography, urban studies, and community-based inquiry.