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 $242,907 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research investigating the impacts of generative artificial intelligence (AI) on the American workforce. The award, valid from June 1, 2025 to May 31, 2030, will fund three interconnected studies: A two-wave panel survey of 1,500 workers analyzing perceptions of how generative AI affects job quality across different sectors, particularly...
This $339,927 federal Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support Georgetown University's development of an intelligent conversational agent. The agent will be built on a hierarchical model-based deep reinforcement learning framework to enable proactive, two-way conversations that can dynamically detect opportunities to expand knowledge and explore new topics. The project...
This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 in funding to Sufficiently Advanced, Inc. for the development of an AI-powered robotic control system. The objective is to enhance automation capabilities and create a more adaptive future labor force by automating repetitive, dull, dirty, and dangerous tasks across various industries. The Phase I project will focus on advancing...
The National Science Foundation (NSF) awarded a $286,418 Project Grant under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to Academic Web Pages, Inc., a woman-owned small business, for the development of an AI-assisted mentoring platform. This SBIR Phase I project aims to create an innovative integration of large language models and retrieval-augmented generation technology to enhance the effectiveness of peer mentoring programs in higher education. The project will...
This Project Grant award from the National Science Foundation's (NSF) Engineering Program (CFDA 47.041) supports a collaborative research project led by Emory University to develop an interactive artificial intelligence (AI) teammate system for upskilling mental health workers. The $548,297 award aims to understand how AI can be effectively and ethically integrated into mental health work to address the shortage of skilled workers and improve access to research-supported treatment protocols. The...
This Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program (NSF TIP, CFDA 47.084) totaling $274,746 provides funding for the development of modular and updatable artificial intelligence capabilities for robotics. Optimizing Mind Inc. will utilize the award to create a novel computer vision architecture allowing robots to learn without rehearsal through corrections for real-world environmental details not present in training. This flexible...
This $175,000 two-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), will fund research at the University of Southern California to develop more explainable artificial intelligence agents with common sense capabilities. The grant aims to advance techniques for AI agents to reason in novel situations, complete open-world narratives, and provide commonsense...
The National Science Foundation (NSF) awarded a $650,000 Project Grant under the Engineering program (CFDA 47.041) to The Pennsylvania State University, doing business as Penn State, to develop an interactive artificial intelligence (AI) system called the Trustworthy, Explainable, and Adaptive Monitoring Machine for AI Teams (TEAMMAIT). This system aims to help address the national shortage of mental health workers skilled in research-supported treatment protocols. The project will investigate...
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...