CRI Research in brief
CRI Research Collaboratory is a research unit of INSERM and University of Paris (UMR U1284), working at the crossroads of life, learning, and digital sciences.

Founded in the spirit of facilitating the transition from closed scientific enquiry to a more open model we aim to transcending barriers between disciplines, science and the society.

We foster research at crossroads between interdisciplinary life and health sciences, basic understanding of learning processes and novel education technology/methodology testing and implementation, and digital sciences.

Research News
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Thursday, January 20, 2022
5:00 PM
[Network Seminar] Renaud Lambiotte: Order and Disorder in Network Science

We will have a Network Seminar by Renaud Lambiotte. The seminar will be online on Zoom. Please register here! to receive a link for online attendance

The tentative date for now is 20th January 2022. The exact date is TBA

Title: Order and Disorder in Network Science

Abstract: A recurring theme in the study of complex systems is the emergence of order and disorder in systems. Historically, one can think of the Boltzmann equation, and the irreversible growth of disorder at the macroscopic scale from reversible dynamics at the microscopic scale. Reversely, scientists have been fascinated by the emergence of spatial and temporal patterns in interacting systems. In this talk, I will give a personal view on these two sides within the field of network science, whose combination of order and randomness is at the core of several works on network dynamics and algorithms.

Bio: Renaud Lambiotte has a PhD in physics from the Université libre de Bruxelles. After postdocs at ENS Lyon, Université de Liège, UCLouvain and Imperial College London, and a professorship in Mathematics at the University of Namur, he is currently associate professor at the Mathematical Institute of Oxford University. His main research interests are the modelling and analysis of processes taking place on large networks, with a particular focus on social and brain networks.

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