Project Grant 2427700
Award Date
10/1/24
Completion Date
9/30/26
Dollars Obligated
$175K
Federal Agency
National Science Foundation
Federal Grant Program
47.084
Assistance Type
Project Grant
Place of Performance
New York, NY 10003, USA
Similar Awards
This $274,192 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development of an advanced generative AI toolbox for interactive Life Cycle Assessments (LCA). The primary aim is to create a domain-specific large language model that can process complex, multi-modal data to provide real-time insights into Scope 3 emissions, which are often the most significant part of a company's carbon...
This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $300,000 to the Regents of the University of Michigan to design, develop, and deploy artificial intelligence (AI) responsibly. The key objectives are to: (1) establish a baseline understanding of AI, its current use, and impact on communities; (2) shift towards more responsible, community-focused research and development in AI; (3) identify and...
The National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) awarded a $300,000 Project Grant to Carnegie Mellon University to conduct research on responsible artificial intelligence (AI) practices across the transportation sector. The two-year grant, starting October 1, 2024, will fund a multi-disciplinary research team to: Perform a comparative analysis of how AI is used and regulated across different transportation modes (taxi, transit, and...
This Project Grant award of $304,943 from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development and testing of an AI-driven foundation modeling framework for the atmosphere and ocean. The goal is to create an advanced multimodal AI model that can provide environmental intelligence and forecasting capabilities to help businesses, municipalities, and governments mitigate the impacts of environmental volatility and extreme...
This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $826,361 to Georgetown University to conduct research that develops novel approaches to support Public Interest Technology (PIT) organizations in deploying data safeguards to build ethical and responsible AI systems. The project will: (1) use ethnographic methods to identify socio-technical challenges at PIT organizations, (2) create and evaluate participatory...
This $250,000 project grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of California, Los Angeles (UCLA). The project aims to develop generative artificial intelligence (AI) frameworks to aid scientific reasoning and accelerate sustainable development. Specifically, the grant will fund the creation of new generative AI architectures, objectives, and techniques to efficiently...
This $275,008 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to create an AI-powered framework that helps designers automatically evaluate the environmental impact of their designs and optimize them for sustainability. The key innovations include: Developing novel graph attention network (GAT) algorithms to extract lifecycle inventory (LCI) data by analyzing similarities with existing designs, addressing the issue of LCI data scarcity....
This $117,451 federal Project Grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports research to develop novel approaches that can help Public Interest Technology (PIT) organizations deploy data safeguards when building AI systems. The project engages a multi-disciplinary team to conduct ethnographic and computational research on using disclosure limitation techniques, including differential privacy, to...
This $150,000 federal Project Grant award from the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) program supports the establishment of a Standing Committee on AI Technologies and Emerging Implications (SCAITEI). The key activities include: Convening the SCAITEI to track AI advancements and explore associated technical, societal, ethical, and policy issues, through regular meetings, workshops, and expert...
This $250,000 Project Grant award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) will fund a study on the ethical and financial trade-offs of machine learning (ML) training methods used to develop large language models (LLMs) like ChatGPT. The study, conducted by Georgia Tech Research Corp, will: 1) Identify current practices among researchers for training LLMs using large datasets; 2) Examine the trade-offs of different data...