Project Grant 2442683
Award Date
10/1/25
Completion Date
9/30/28
Dollars Obligated
$310K
Federal Agency
Division of Computing and Communication Foundations
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Orono, ME 04469, USA
Similar Awards
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) will enable research at the University of Notre Dame on interactive dialogue systems to assist programmers with non-functional software requirements, specifically related to privacy and legal needs. The $309,911 award from October 1, 2025 to September 30, 2028 will fund experiments to understand how software engineers interact with dialogue systems, design models to...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $599,898 to The University of Kentucky Research Foundation to develop advanced, user-centric task-oriented dialog systems. The project aims to enhance the adaptability, flexibility, and personalization of these dialog systems by leveraging large-scale language models and reinforcement learning. Key goals include creating...
This five-year Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $676,344 to the University of Massachusetts for research advancing conversational information retrieval. Specifically, the awardee will develop theoretical foundations and machine learning models for mixed-initiative interactions in information-seeking conversations that go beyond...
This three-year, $439,355 project grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research into the impact of new privacy regulations on software development practices. The International Computer Science Institute will lead a collaborative effort to study how software developers discuss and implement privacy requirements from evolving laws and regulations. The...
This three-year, $110,645 project grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), supports research into the implementation of privacy in software systems by software developers. The Stanford University research team will examine discussions among developers in response to new privacy regulations and laws, related code updates in public repositories, and developer reactions to...
The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
The National Science Foundation awarded a $249,703 Project Grant to the Trustees of Boston University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund research from October 1, 2022 to September 30, 2025 to develop methods for integrating legal and technical approaches to privacy in the design of sociotechnical software systems. Specifically, the project aims to establish technical interpretations of legal privacy concepts that...
The National Science Foundation awarded a $200,000 Project Grant to the University of Illinois under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to develop a hybrid dialogue system architecture combining symbolic and neural approaches. The two-year project beginning August 2022 will explore new inference mechanisms blending an explicitly designed dialogue manager module with effective neural encoder/decoder models. A symbolic dialogue manager will...
This Project Grant award, valued at $347,549, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award supports research by New York University (NYU) to develop interactive language systems that can critically reason about textual sources to provide high-quality, up-to-date information. The key focus areas include: (1) expanding the definition of document relevancy to incorporate...
This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...