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...
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...
The National Science Foundation (NSF) awarded a $320,000 Project Grant under the Geosciences Program (CFDA 47.050) to the University of Delaware. The funding will support collaborative research to empower artificial intelligence (AI) to reveal phytoplankton community dynamics in coastal oceans. The project aims to address the scarcity of in-situ data for estuarine-coastal phytoplankton by constructing a large-scale database of phytoplankton observations, enabling global data sharing. It will...
This Project Grant award for $529,636 from the National Science Foundation's Geosciences Program (CFDA 47.050) will enable the University of Louisiana at Lafayette to develop innovative artificial intelligence methods to analyze hyperspectral satellite imagery and construct a large-scale database to better understand phytoplankton community dynamics in coastal waters. The key products and services to be delivered include: Establishing a comprehensive database of phytoplankton observations to...
The University of Notre Dame received a $283,438 project grant award from the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant supports research titled "EAGER: An AI-Driven Paradigm for Collective and Collaborative Community Resilience in the COVID-19 Era and Beyond" from November 1, 2021 to July 31, 2022. The grant funding will enable the University of...
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...
The National Science Foundation (NSF) awarded a $536,019 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Notre Dame's Notre Dame Research division. The grant funds the development of new software that can significantly reduce computational time and storage requirements for climate and weather modeling, which are critical for understanding future climate change impacts. The software will leverage advancements in applied...
The National Science Foundation (NSF) awarded the University of Notre Dame a $500,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for the period of October 1, 2023 to September 30, 2027. The project, titled "COLLABORATIVE RESEARCH: DESC: TYPE II: REFRESH: REVISITING EXPANDING FPGA REAL-ESTATE FOR ENVIRONMENTALLY SUSTAINABILITY HETEROGENEOUS-SYSTEMS," aims to develop innovative approaches to minimize the environmental impact of...
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...
The University of Notre Dame received a $209,989 project grant award from the National Science Foundation Division of Behavioral and Cognitive Sciences on September 1, 2021 to complete the project by February 28, 2025. The grant supports the "Collaborative Research: Language Documentation with an Artificial Intelligence (AI) Helper" project under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant funds research to contribute to scientific understanding...