Data-based Diagnosis of Networked Dynamical Systems

Wednesday October 27th, 2021

Complex networks of dynamical agents are widely used to model the behavior of large physical or virtual systems. Unfortunately, due to the often abstract nature of such networks or the size thereof, it is sometimes difficult to assess correctly their structure and parameters. With the ever increasing amount of data accessible nowadays, it is natural to attempt to recover structural information of the system from measurements.

Altogether, there are two overlapping questions that we would like to treat in this symposium:

  • What networks characteristics can be recovered from time-series measurements of its agents?

  • How to identify and locate disturbances from time-series measurements?

Confirmed speakers


Misha Chertkov, University of Arizona, USA.

Pietro De Lellis, University of Naples Federico II, Italy.

Philippe Jacquod, University of Geneva, Switzerland.

Nathan Kutz, University of Washington, USA.

Andrey Lokhov, Los Alamos National Laboratory, USA.

Enrique Mallada, Johns Hopkins University, USA.

Edward Ott, University of Maryland, USA.

Tiago Peixoto, Central European University, Austria-Hungary.

Marc Vuffray, Los Alamos National Laboratory, USA.

Practical information

This is may be adapted in regard of the pandemic situation: stay tuned!

The symposium will be held on October 27, 2021, in a hybrid format:

  • For speakers and attendees who will join us in Lyon, the symposium will take place on the site of CCS2021;

  • Speakers who will not be able to travel to the conference will have the opportunity to give their presentation online, which will be broadcasted in the symposium room;

  • All talks (in-person and online) will be broadcasted online for potential attendees who might not be able to join.

All details will be finalized during the summer.


Please feel free to contact the organizers for any inquiry.

Melvyn Tyloo:

Laurent Pagnier:

Robin Delabays:


We are looking forward to seeing you in Lyon! Stay safe!

Last updated on July 14th, 2021