GraphEx 2025


 

 

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 will explore 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 will be limited to a small group of invited attendees.

The symposium will take 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 will include:

  • 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 | MIT Lincoln Laboratory

Johan Ugander | Stanford University

Jordan Crouser | Smith College

Robert Bond | MIT Lincoln Laboratory

Steven Smith | MIT Lincoln Laboratory

Mykel Kochenderfer | Stanford University