Project Grant 2531925
- This $300,000 Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) program will develop an open and scalable data infrastructure to enable AI-enabled ecological and biodiversity research. The infrastructure will address challenges of fragmented, inconsistent, and inaccessible data by automating standardized access across various data sources while preserving data quality, provenance, and attribution. This 3-year project will create a dynamic inventory...
- 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 $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 federal Project Grant award of $103,500.00 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the "COLLABORATIVE RESEARCH: ACED: PLANET-SCALE AI FOR ACCELERATING ENVIRONMENTAL SCIENCE - INVASIVE SPECIES AND BEYOND" research initiative. The objective of this research is to develop a novel AI framework that can leverage abundant, mostly unlabeled visual data, such as satellite imagery, to automatically...
- 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, 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 Project Grant award from the National Science Foundation Office of Advanced Cyberinfrastructure provides $159,341 to support the Alexandria Archive Institute in developing interoperable data systems and best practices for the geoscience community. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award period is from January 1, 2023 through December 31, 2025. Specifically, the Institute will improve the interoperability and reproducibility of...
- 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,...
- 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...
COLLABORATIVE RESEARCH: DISCIPLINARY IMPROVEMENTS: AI-READY ECOLOGY AND BIODIVERSITY DATA INFRASTRUCTURE FOR OPEN SCIENCE -THIS PROJECT DEVELOPS AN OPEN AND SCALABLE DATA INFRASTRUCTURE FOR AI?ENABLED ECOLOGICAL AND BIODIVERSITY RESEARCH. IT ADDRESSES CHALLENGES OF FRAGMENTED, INCONSISTENT, AND INACCESSIBLE DATA BY ENABLING AUTOMATED, STANDARDIZED ACCESS ACROSS A VARIETY OF SOURCES WHILE PRESERVING DATA QUALITY, PROVENANCE, AND ATTRIBUTION. THE INFRASTRUCTURE INCLUDES A DYNAMIC INVENTORY AND MAP OF EXISTING DATA SOURCES, ASSESSED FOR THEIR READINESS TO SUPPORT AI APPLICATIONS. IT DEFINES SHARED SCHEMAS, ALIGNS TAXONOMIES AND ONTOLOGIES, AND PROVIDES STANDARD MACHINE-ACCESSIBLE INTERFACES TO ENABLE AI MODEL TRAINING AND DEPLOYMENT. IT IS EVALUATED USING A SET OF EXEMPLAR USE CASES SPANNING MULTIPLE STAKEHOLDERS. BY ALIGNING TECHNICAL DEVELOPMENT WITH THE NEEDS OF SCIENCE AND DECISION-MAKING, THIS INFRASTRUCTURE WILL SERVE AS A FOUNDATION FOR AI-DRIVEN DISCOVERIES AND ACTION IN ECOLOGY AND RELATED FIELDS. THIS AWARD BY THE OFFICE OF ADVANCED CYBERINFRASTRUCTURE WITHIN THE DIRECTORATE FOR COMPUTER AND INFORMATION SCIENCE AND ENGINEERING IS JOINTLY SUPPORTED BY THE DIRECTORATE FOR BIOLOGICAL SCIENCES. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $50.3k | 8/18/25 |