Project Grant 2449391
- This Project Grant award of $436,664 from the National Science Foundation's Biological Sciences (CFDA 47.074) program will support a four-year collaborative research project at North Carolina State University to develop Artificial Intelligence (AI) tools for analyzing animal coloration and camouflage from camera trap images collected around the world. The project aims to understand how seasonal color-changing species like snowshoe hares and willow ptarmigans cope with environmental...
- This federal Project Grant award from the National Science Foundation's Biological Sciences program (CFDA 47.074) provides $207,291 to the University of New Hampshire to develop artificial intelligence tools that analyze camera trap images to understand animal coloration and camouflage on a changing planet. The 4-year project will create publicly available AI tools to study coat color, background color, and camouflage in seasonal color-molting species like snowshoe hares, weasels, and...
- 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 National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) awarded a $500,000 Project Grant to Northwestern University to investigate how animals' use of imagination underlies their biological learning advantage compared to current artificial intelligence (AI) systems. The 3-year project, beginning September 1, 2025, will conduct first-of-its-kind experiments monitoring animal brain activity during avoidance of an autonomous robot threat. The researchers will then use...
- The National Science Foundation (NSF) awarded a $169,618 Computer and Information Science and Engineering (CFDA 47.070) Project Grant to Oklahoma State University (OSU) to develop artificial intelligence (AI) and machine learning (ML) techniques that provide novel insights into the extinction risk of biological species. The project aims to leverage natural language processing and automated reasoning to address challenges in biodiversity data and species taxonomy classification, ultimately...
- This $240,000 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop advanced computer vision (CV) approaches for global biodiversity monitoring. The project aims to: (1) robustly identify rare, visually similar, and novel categories of biodiversity data using augmented training data and active curation; (2) adapt CV models to new deployments and identify valuable data for specialized tasks;...
- 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,...
- 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,...
- This Project Grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) provides $748,624 to North Carolina State University from August 1, 2022 to July 31, 2025. The funding will support research to develop integrated distribution models for approximately 100 North American mammal species. Researchers will combine traditional museum data with new camera trap and citizen science data, including from the National Ecological Observatory Network and Snapshot USA program....
- This Project Grant award, valued at $100,000.00 and provided by the National Science Foundation (NSF) Biological Sciences (CFDA 47.074) Federal Grant Program, supports a collaborative research project titled "ACED: Planet-Scale AI for Accelerating Environmental Science - Invasive Species and Beyond." The research aims to develop a novel AI framework that combines multiple data sources, including satellite imagery and other visual data, to automatically discover interpretable scientific...
This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) project grant awarded to Ohio University will develop comprehensive artificial intelligence (AI) tools to analyze camera trap images of animals from around the world. The goal is to understand animal coloration and the mismatch in seasonal camouflage as environments change due to climate change. The $850,107 award, effective September 1, 2025 through August 31, 2029, will support the research team's efforts to create AI-powered tools for the scientific community to explore questions surrounding animal coloration and camouflage across habitats. The project will also involve public outreach and student training activities in collaboration with the North Carolina Museum of Natural Sciences.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $850.1k | 8/5/25 |