Symposium Overview
The symposium brings together leading experts from universities, industry, and government to explore the state of the art and define a future roadmap in network science. The themes of this year’s symposium explored the role that complex network perspectives and techniques play in autonomy and artificial intelligence. In order to provide an interactive environment and promote strong interaction among the attendees, the event was limited to a small group of invited attendees.
The symposium took place on Tuesday, May 20th – Wednesday, May 21st, 2025 at the MIT Endicott House.
Symposium Highlights
As part of the two-day technical program this year, topics of interest included:
- Complex system design and optimization
- Collective and coordinated behavior
- Multi-agent systems
- Social dynamics and influences
- Network experimentation and observational studies
- Physics-, knowledge-informed models and learning
- Explainable, transparent, robust graph learning
- Recent advances in generative AI and foundation models
- Various applications including scaled autonomy, resilient infrastructures and systems, misinformation on social media, cyber defense, bio/material design, climate change
Symposium Organizers
Chairs
Rajmonda Caceres | MIT Lincoln Laboratory
Dennis Ross | MIT Lincoln Laboratory
Sanjeev Mohindra | MIT Lincoln Laboratory
Technical Co-Chairs
Benjamin Miller | MIT Lincoln Laboratory
Edoardo Airoldi | Temple & Harvard University
Edward Kao | MIT Lincoln Laboratory
Lin Li | MIT Lincoln Laboratory
Technical Committee
Alexander Volfovsky | Duke University
Ali Pinar | Sandia National Laboratories
Christopher Long | U.S. Department of Defense
Heidi Perry | MIT Lincoln Laboratory
Zachary Serlin | HavocAI
Johan Ugander | Stanford University
Jordan Crouser | Smith College
Robert Bond | MIT Lincoln Laboratory
Steven Smith | MIT Lincoln Laboratory
Mykel Kochenderfer | Stanford University
Giselle Zeno | MIT Lincoln Laboratory