Project Grant 2616631
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Wisconsin - Madison $249,999 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop graph-centric multi-agent systems powered by large language models. The project develops new graph-based methods for designing, executing, and adapting multi-agent artificial intelligence systems in which multiple agents communicate and collaborate...
- The National Science Foundation Division of Computing and Communication Foundations awarded Arizona State University $250,000 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop graph-centric multi-agent systems powered by large language models. The project develops new graph-based methods for designing, executing, and adapting multi-agent AI systems in which agents are represented as nodes and their interactions as edges in a dynamic...
- The National Science Foundation Division of Computing and Communication Foundations awarded Northwestern University $899,998 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to design collaborative human-and-artificial-intelligence tools that improve qualitative research methods. The project will conduct an in-depth study of how researchers currently perform qualitative analysis with and without AI support, develop innovative human-AI...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Southern California $871,225 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop theoretical foundations for multi-agent learning systems in artificial intelligence. The project advances the theory of online optimization and learning within multi-agent systems through three research thrusts. The first thrust characterizes optimal...
- The National Science Foundation Division of Computing and Communication Foundations awarded Northwestern University $323,046 on June 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to design and study a set of generative AI assistants that amplify rather than replace human creativity in creative industries. The project will develop four novel open-source AI assistants that employ generative friction—an oppositional force arising from difficulty,...
- 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 Computing and Communication Foundations awarded The University of Chicago $360,549 on June 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop artificial intelligence technologies that enable intuitive creation and modification of three-dimensional mesh models. The project establishes computational foundations for AI systems operating directly on meshes, the dominant geometric representation in...
- The National Science Foundation Division of Computing and Communication Foundations awarded Northwestern University $419,999 under the Computer and Information Science and Engineering program (CFDA 47.070) on October 1, 2026, for a CAREER grant titled "OPENALIGN: Towards Open-World Preference Alignment for Large Language Models." The project develops data-efficient algorithms to align large language models (LLMs) with human preferences in real-world, open-world settings where data...
- 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 Division of Research on Learning in Formal and Informal Settings awarded Northwestern University $899,999 on September 1, 2026, to co-design human-AI collaborative tools for teaching agent-based modeling to high school students under the STEM Education program (CFDA 47.076). The project develops and evaluates a structured human-AI method that connects model goals, measurements, rules, code, and simulated worlds, enabling learners to work step-by-step from ideas to...
The National Science Foundation Division of Computing and Communication Foundations awarded Northwestern University $250,000 on August 1, 2026, for research developing graph-centric multi-agent systems powered by large language models under the Computer and Information Science and Engineering program (CFDA 47.070). The research develops new graph-based methods for designing, executing, and adapting multi-agent systems in which multiple AI agents communicate and collaborate to solve complex problems. The project investigates three complementary directions: reliability-aware methods that detect unreliable or adversarial agents, estimate uncertainty in agent communication, and contain the spread of incorrect information through the collaboration graph; efficiency-oriented methods that reduce unnecessary communication and computation by identifying redundant agents, edges, and messages; and adaptive methods that enable multi-agent systems to adjust their collaboration structure in response to unexpected changes in agent availability, interaction structure, or task objectives. The research advances contributions to reliable, efficient, and adaptive artificial intelligence while training students in emerging areas of machine learning, large language models, and agentic AI. Work is performed at Northwestern University's Evanston, Illinois campus. The period of performance runs from August 1, 2026, through July 31, 2029. The assistance type is a Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 7/20/26 |