Project Grant 2441060
Award Date
6/15/25
Completion Date
5/31/30
Dollars Obligated
$120K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Cambridge, MA 02139, USA
Similar Awards
This $193,500 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) funds the development and validation of an AI framework that can leverage a broad array of image data, including satellite, drone, and online imagery, to automate and accelerate the generation of interpretable environmental science hypotheses at a planetary scale. The overarching goal is to overcome limitations of traditional...
This $207,737 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to develop a new class of machine learning models called "Programmatic Foundation Models" that can efficiently analyze large-scale satellite, aerial, and ground imagery. The goal is to create interpretable, robust AI models that can understand global and local phenomena from images, providing insights...
This federal Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) provides $385,312 to the Massachusetts Institute of Technology (MIT) to conduct research on understanding the feasible energy limits in ecological communities. The goal is to use mathematical models to examine how ecological and evolutionary processes drive energy intake, requirements, productivity, efficiency, storage, and distribution within sustainable and unsustainable...
This federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop transformative new wireless communication and artificial intelligence (AI) tools for automating biodiversity data collection, processing, and analysis. The $598,865 grant, awarded to Duke University, will fund the creation of probabilistic models to account for errors in inferring species composition from audio,...
The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Biological Sciences (CFDA 47.074) program to The Trustees of Columbia University in the City of New York, doing business as Columbia University. The grant, titled "COLLABORATIVE RESEARCH: ACED: PLANET-SCALE AI FOR ACCELERATING ENVIRONMENTAL SCIENCE - INVASIVE SPECIES AND BEYOND", aims to develop and validate an AI framework that can leverage a broad array of image data from various sensing modalities to...
The National Science Foundation (NSF) awarded a $103,500 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Notre Dame. The grant, titled "COLLABORATIVE RESEARCH: ACED: PLANET-SCALE AI FOR ACCELERATING ENVIRONMENTAL SCIENCE - INVASIVE SPECIES AND BEYOND," aims to develop and validate an AI framework that can use a broad array of image data from various sensing modalities to automate and accelerate the generation of...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $345,135 to Saint Louis University to develop improved image retrieval systems for fine-grained visual categorization tasks. The project aims to better align image retrieval systems with human perceptions of visual similarity, enabling users to prioritize specific visual features most relevant to their domain-specific needs. Key...
This $198,141 project grant awarded by the National Science Foundation's Biological Sciences program (CFDA 47.074) seeks to enhance predictive understanding of global species distributions through the development of advanced generative artificial intelligence (AI) models. The project aims to create a versatile foundation model that can be used by scientists, conservationists, and educators to better understand and protect the natural world. By training this model on a vast array of environmental...
This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, focuses on advancing the field of robotic visual perception by addressing limitations in current artificial intelligence systems. The $174,604 award, effective June 15, 2025 through May 31, 2027, aims to develop novel frameworks for understanding human behaviors and interactions, and creating robust learning mechanisms from sparse data. Key...
This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $4,500,000 to The Ohio State University to establish the Global Center on AI and Biodiversity Change (ABC). The Center's objectives are to develop AI-enabled solutions for monitoring and understanding climate-induced biodiversity changes, and to support conservation decision-making and policy evaluation. Key focus areas include elucidating species boundaries,...