Project Grant 2531357
- This $1,200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program is funding research by the University of Southern California (USC) to advance the safe and reliable deployment of AI-driven autonomous systems. The key products and services to be delivered include: Developing algorithmic frameworks that provide rigorous risk quantification and control for cyber-physical systems (CPS) making decisions based on...
- This $414,995 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop personalized artificial intelligence (AI) systems that can tailor their responses to individual users based on their unique backgrounds and needs. Key objectives include: Gathering a diverse dataset to characterize the types of responses preferred by different people, particularly underrepresented groups. Using this data to...
- This $150,000 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop and deploy low-cost, battery-powered smart cameras to democratize urban mobility data acquisition, especially in underserved communities. The research will focus on creating new control and perception algorithms to efficiently operate these smart cameras within battery and computational constraints. Key project elements...
- This $350,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program on August 1, 2025. The grant will be used by the University of California, Berkeley to develop scalable algorithms for making artificial intelligence (AI) model predictions more understandable and explainable. This research aims to advance the transparency and trustworthiness of AI systems, which is critical for their safe deployment in applications...
- This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research into probing the inner workings of artificial intelligence (AI) systems and comparing them to human cognition during speech recognition. The $50,000 award to the University of Southern California (USC) will fund the development of novel mathematical models and experimental methods to examine how AI...
- This Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), funds the development of a federated meta-learning framework to enhance AI-driven crime analytics across interconnected environments. The $167,500 award to Southern Illinois University Carbondale aims to create novel data labeling and rebalancing algorithms to promote fairness in AI systems, integrate efficient meta-learning techniques to reduce...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of South Carolina. The grant, with a period of performance from October 1, 2024 to September 30, 2027, focuses on enhancing security and mitigating harm in AI-generated vision language models. Key technical objectives include: 1) Developing a prompting framework for detecting harmful content provenance in AI-generated vision...
- This Project Grant award from the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $500,000 to develop AI technology that extracts key information from video recordings of public meetings. The project aims to create a large public dataset and open-source code to support an interdisciplinary research community studying how people interact in civic contexts. The award will leverage large language models (LLMs) to identify patterns...
- This $1,447,662 Project Grant was awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program. The purpose of the grant is to create a "Citizen AI" system in Harlem, New York, that redefines how, when, by whom, and under what conditions AI should be integrated into the city's social fabric. The grant recipient, the Trustees of Columbia University, will lead a collaborative process with over ten community-based...
- This $400,000 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop a systematic framework for visualizing, understanding, and rewriting the learned computations of multimodal generative AI models. The key objectives are to: 1) create new methodologies to visualize the internal mechanisms and hierarchical structures of pre-trained multimodal generative models, 2) explore model...
This $1,000,000 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports the development of artificial intelligence (AI) tools to analyze body-worn camera footage from police traffic stops. The project, led by the University of Southern California (USC), aims to improve officer-driver communication and outcomes during these critical interactions to enhance public safety and trust. The AI tools will be trained on assessments from diverse stakeholders, including retired police officers and community members, to incorporate multiple perspectives. After development, the tools can be used by police departments and local governments nationwide to increase transparency, accountability, and learning. This multidisciplinary, community-engaged effort advances computer, social, and engineering science by creating novel video language models that generate accurate, explainable summaries of body-worn camera footage. The project runs from October 2025 through September 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 7/31/25 |