Project Grant 2531903
- The National Science Foundation has awarded a $299,990 Project Grant to Columbia University to develop a prototype system using large language models to assist in the review process for releasing government records. The project aims to determine the additional data and training required to achieve acceptable levels of accuracy in using large language models to identify information that is already in the public domain, in order to streamline the document review process. The iterative system...
- This $141,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will study data management practices at NSF-funded user facilities. The goal is to create a roadmap for improving how research data is organized, stored, and shared in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles. The project will assess current data management practices through surveys of...
- This $550,000 award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of a hybrid, scalable data management system to improve access to scientific knowledge in data science. The project aims to create an intelligent, user-friendly interface that can extract, organize, and provide deep access to relevant concepts from peer-reviewed scientific literature. Key objectives include: Building a comprehensive knowledge...
- This federal Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will study data management practices at NSF major and mid-scale user facilities with the goal of improving how research data is organized, stored, and shared. The $141,000 award, effective from October 1, 2025 to September 30, 2028, will assess current data management practices through surveys of facility personnel and users,...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA #47.070) Federal Grant Program to Cornell University. The grant will fund a 3-year collaborative research project titled "RI: SMALL: Evaluation Concepts for Assessing and Improving Large Language Models (LLMs)." The project aims to develop a set of "evaluation concepts" to identify areas where LLMs are underperforming, such as lack of...
- This $348,227 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to improve the scalability and effectiveness of large language models (LLMs) used in healthcare applications. The key objectives are to develop an evaluation framework to address issues like factual and faithfulness hallucinations in LLM outputs, and to introduce innovative reinforcement learning methods to better align LLM...
- This $177,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will study data management practices at NSF user facilities to create a roadmap for improving how research data is organized, stored, and shared. The project will assess current data management practices through surveys of facility personnel and users, identify best practices and data formats, and develop a roadmap aligned with FAIR...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to expand the understanding of large language models (LLMs), a type of artificial intelligence (AI) system. The $471,529 award to Trustees of Boston University aims to develop methods for identifying and characterizing multi-dimensional and continuous internal representations within LLMs, rather than just simple binary concepts. This work...
- This Project Grant award of $599,721.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program will establish a secure, easy-to-use ecosystem to enable safe and trustworthy use of multi-modal large language models (MLLMs) in food science research. The project will: (i) profile MLLMs on their effectiveness, robustness, efficiency, and security, (ii) recommend the best MLLM candidates for scientific tasks, and (iii) embed...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to establish a new data curation infrastructure by integrating large language models (LLMs) and vector indexing into the scientific data lifecycle. The $600,000 award to Georgia State University Research Foundation Inc. will focus on improving metadata, enhancing data discoverability, and optimizing data storage to address limitations in existing data management systems and advance the FAIR (Findable, Accessible, Interoperable, Reusable) principles for research data. The project directly responds to priorities outlined in the NSF's FAIROS solicitation, emphasizing sustainable, socio-technical innovations for research data management. No sub-awards are planned under this grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/15/25 |