Project Grant 2552085
- The National Science Foundation Division of Research on Learning in Formal and Informal Settings awarded Northeastern University $900,000 on August 15, 2026, under the STEM Education program (CFDA 47.076) to develop an educator-controlled artificial intelligence system for virtual patient simulations in clinical communication skills training. The project creates a virtual reality authoring environment that enables healthcare instructors without technical expertise in AI or VR to design...
- The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $800,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to study how users form and intensify beliefs about social understanding in conversational AI systems. The research examines how users attribute social understanding—perceived empathy, intention recognition, and genuine emotional comprehension—to chatbots and virtual...
- The National Science Foundation Division of Information and Intelligent Systems awarded Massachusetts Institute of Technology $850,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate whether AI agents can assist in the expert-level design of networked systems. The project studies how large language models and AI systems capable of experimentation, reasoning, and hypothesis formation can participate in the design work currently...
- The National Science Foundation (NSF) has awarded a $214,565 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Northeastern University. The grant, titled "COLLABORATIVE RESEARCH: CYBERTRAINING: IMPLEMENTATION: MEDIUM: AI4EDU: CLOUD INFRASTRUCTURE-ENABLED TRAINING FOR AI IN EDUCATIONAL RESEARCH AND ASSESSMENT", aims to develop innovative training materials and tools to enable education researchers to utilize artificial...
- The National Science Foundation Division of Computing and Communication Foundations awarded Massachusetts Institute of Technology $500,000 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on reinforcement learning methods for imperfect-information games. The project develops theoretically sound, scalable policy-gradient algorithms and decision-time planning methods that enable deep reinforcement learning to operate...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Illinois $356,787 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The award funds research and educational activities developing self-regulating artificial intelligence agents capable of monitoring their reasoning, drawing on past experience to evaluate and explain decisions, and adapting their internal understanding based on corrective...
- The National Science Foundation Division of Research on Learning in Formal and Informal Settings awarded Worcester Polytechnic Institute $265,797 on August 1, 2026, under the STEM Education program (CFDA 47.076) to develop simulated student agents powered by large language models. The project creates AI-based systems designed to model how students think, learn, and respond during educational activities, focusing on middle-school mathematics. The research team will develop fully interactive...
- The National Science Foundation Division of Research on Learning in Formal and Informal Settings awarded the University of Massachusetts $628,360 on August 1, 2026, to develop simulated student agents—AI-based systems designed to model how students think, learn, and respond during educational activities. The award funds research under the STEM Education program (CFDA 47.076). The research team will develop fully interactive student models capable of engaging in dialogues with teachers and...
- The National Science Foundation Division of Computing and Communication Foundations awarded Northeastern University $410,869 on June 1, 2026, under the Computer and Information Science and Engineering program to develop AI-augmented creativity support tools designed for nonvisual interaction and accessible to blind and visually impaired users. The project addresses the gap between sighted and nonvisual users of collaborative digital creativity tools such as digital whiteboards and document...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Trustees of Boston University $371,191 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a data-efficient pretraining framework for vision foundation models inspired by infant learning. The project runs through August 31, 2031, with performance in Boston, Massachusetts. The award funds research to democratize vision foundation model...
The National Science Foundation Division of Computing and Communication Foundations awarded Northeastern University $845,345 on October 1, 2026, under the Computer and Information Science and Engineering program to develop an AI-driven platform for training social skills through interaction with adaptive virtual agents. Work will continue through September 30, 2029, and will be performed in Boston, Massachusetts. The platform enables learners to participate in open-ended scenarios with multimodal virtual agents that combine language, gesture, gaze, posture, and facial expression to simulate complex face-to-face interactions. A central focus is theory of mind—the ability to reason about others' beliefs and intentions—which the system is designed to train and evaluate across diverse domains including education, healthcare, security, intercultural communication, and mental health. The platform employs a multi-agent large-language model framework consisting of four specialized components: a designer LLM that creates personalized scenarios in collaboration with learners, a director LLM that dynamically shapes scenarios to enhance flexibility and engagement, multimodal virtual human LLMs that generate rich verbal and nonverbal behaviors conveying underlying social and emotional cues, and a learning and alignment LLM that uses human feedback and preference modeling to iteratively refine agent behaviors and improve adaptability and realism. No sub-awards are planned for this award.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $845.3k | 7/20/26 |