Project Grant 2622695
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded The Regents of the University of Colorado $200,000 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop SODA, a framework for self-organizing decentralized multi-agent artificial intelligence systems that coordinate through local peer-to-peer interactions rather than central control. The research addresses scalability bottlenecks and single points of failure in current...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded The Research Foundation For The State University Of New York $150,000 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop SODA, a framework for decentralized multi-agent artificial intelligence systems that coordinate through peer-to-peer interactions rather than central control. The project develops theoretical and practical advances in self-organizing decentralized agents,...
- 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 Electrical, Communications and Cyber Systems awarded Arizona State University two hundred thousand dollars on October 1, 2026, under the Engineering program (CFDA 47.041) to develop unified modeling, analysis, and control frameworks for understanding interactions between data center power-electronic systems and the electric grid. The research establishes reduced-order models characterizing how internal power converters, control loops, and...
- The National Science Foundation Division of Computer and Network Systems awarded Arizona State University $400,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop closed-loop digital twins that enable adaptive human-AI collaboration in manufacturing cyber-physical systems. The project addresses brittle, reactive artificial intelligence systems in modern manufacturing by creating intelligent models that monitor task execution in real...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Arizona State University $249,999 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop computational methods integrating semantic technologies and generative artificial intelligence for autonomous composition of resilient and explainable service-oriented supply chains. The research addresses vulnerability in globally distributed manufacturing networks by creating mechanisms...
- The National Science Foundation Division of Information and Intelligent Systems awarded Arizona State University $300,034 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to support the FACTORY-AI collaborative research project. FACTORY-AI designs intelligent models and infrastructure to enable smart manufacturing through integrated sensing, communication, and computing. The project transforms multimodal sensor streams into semantic control...
- The National Science Foundation Division of Graduate Education awarded Arizona State University $1,728,720 on August 1, 2026, under the STEM Education program (CFDA 47.076) to establish an AI-augmented cybersecurity scholarship program that prepares government cybersecurity professionals with expertise at the intersection of artificial intelligence and cyber defense. ASU will develop and deliver AI-integrated instructional modules in AI-enabled security operations center analysis, AI-assisted...
- 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 Electrical, Communications and Cyber Systems awarded Arizona State University $350,980 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop physics-composed generative policies that embed contact physics directly into the architecture of robot learning models. The project addresses a critical limitation in current generative AI approaches to robot autonomy: generated motions may appear plausible while failing to respect the...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Arizona State University $150,000 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop SODA (Self-Organizing Decentralized Agents), a framework enabling multi-agent artificial intelligence systems to coordinate through peer-to-peer interactions rather than central orchestration. The research addresses scalability bottlenecks and single points of failure in current centralized multi-agent AI systems by studying how specialized agent groups assign roles, adapt to failures, preserve useful specialization, and avoid harmful collective behavior. Work is organized into three thrusts: Thrust 1 develops decentralized self-organization through peer-based task decomposition, role assignment, execution-time self-refinement, and information-theoretic tests of useful emergence; Thrust 2 builds a robust serverless training framework enabling agents to learn through peer-to-peer collaboration, recover from failures, reorganize dynamically, and share knowledge; and Thrust 3 introduces simulation-based training and inference, treating agent roles and system prompts as latent dynamics of agent societies. The framework targets applications in healthcare, transportation, smart grids, smart cities, social simulation, and scientific discovery. The project supports education through new course materials, tutorials, workshops, and graduate student training in machine learning, reinforcement learning, optimization, information theory, and responsible AI. Performance occurs in Scottsdale, Arizona, with a period of performance from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 8/14/26 |