Project Grant 2318255
- This $386,139 National Science Foundation project grant supports the development of an ecosystem to empower musicians through artificial intelligence-enabled music production tools. Funded under the NSF Engineering program (CFDA 47.041), the four-year award to Northwestern University will create an open-source software framework and initiatives allowing musicians and AI researchers to collaborate on improving AI music creation tools. The framework will facilitate deployment of new AI models...
- This Project Grant from the National Science Foundation (NSF) provides $1.4 million to support the "Toward an Ecosystem of Artificial Intelligence-Powered Music Production (TeamUp)" project under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). The University of Rochester leads the effort to build foundations for a new ecosystem empowering musicians to leverage artificial intelligence (AI) tools in music creation, performance, and distribution. Key...
- This $598,703 Project Grant was awarded by the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The grant aims to elucidate the computational and neural mechanisms underlying musical enculturation - how people spontaneously engage with and learn the musical structures of unfamiliar cultures. The research involves implementing a series of behavioral, neuroimaging, and neurophysiology...
- This is a $232,000 Project Grant awarded by the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences grant program (CFDA 47.075). The grant supports collaborative research at the University of Maryland, College Park to elucidate the computational and neural mechanisms underlying music enculturation, or how people spontaneously engage with and learn unfamiliar musical cultures. The research combines computational...
- This Project Grant award of $298,375.00 from the National Science Foundation's (NSF) Division of Undergraduate Education STEM Education (CFDA 47.076) program aims to design and implement an artificial intelligence (AI)-augmented formative assessment and feedback system. The system will support the development of STEM text summarization and problem-solving skills among students in large, introductory undergraduate physics courses at an urban university serving diverse and underrepresented student...
- This $199,503 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program will fund a large-scale, mixed-methods study to understand perceptions and use of artificial intelligence (AI) technologies in K-12 education. The one-year project will survey a nationally representative sample of parents, teachers, and youth to identify opportunities, risks, and supports needed for integrating AI-driven learning tools. The study will employ both...
- This $499,999 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support collaborative research to investigate the theoretical foundations of compositional learning in large language models (LLMs) based on transformer architectures. The research aims to advance the understanding of how LLMs, such as GPT-4, LLAMA 2, and CLAUDE 3, can decompose complex tasks into simpler intermediate steps to...
- This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), will fund a collaborative research project to study human planning and decision-making through the analysis of a massive dataset of chess games. The $562,614 award to New York University, with a project period from September 1, 2023 to August 31, 2026, will leverage artificial intelligence techniques to gain insights into how individuals form complex...
- This $349,999 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) will support a research project at the University of North Carolina at Chapel Hill (UNC-CH) to investigate how to design and integrate artificial intelligence (AI) to support equitable K-12 science education. The project plans to explore the use of multimodal AI to provide automated feedback for formative science assessments, with the goal of generating design principles to develop...
- This $149,971 project grant, awarded by the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076), will support the development and evaluation of a Comprehensive Personalized Programming Practice Environment (C-3PE) that utilizes artificial intelligence (AI) to enhance computer science education. The primary awardee, the University of Massachusetts (UMass), will collaborate with Carnegie-Mellon University, University of Massachusetts, and North Carolina State...
This $900,000 Project Grant was awarded by the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences Program (CFDA 47.075) with a period of performance from September 15, 2023 to August 31, 2026. The award supports the development of an AI platform to analyze a student's violin playing during individual practice sessions. The platform will provide feedback on posture, bow movements, sound quality, and curricular material selection using video and audio inputs from handheld devices. By providing explanations for errors, the system aims to act as a virtual assistant to violin students, teachers, and parents. This project advances the understanding of learning and teaching motor tasks, and provides new insights for computational perception of human movements from multi-modal data. The combination of the AI software, collected observation data, and digitized music corpora represents a major step forward in music pedagogy and the study of human motor learning through perception. No sub-awards are planned under this grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $900.0k | 8/17/23 |