AI Lab Seminar | Complexity, Networks and Systems Thinking
The AI Lab Seminar | Complexity, Networks and Systems Thinking, held by Yamir Moreno, Director of the Institute for Biocomputation and Physics of Complex Systems and Professor of Physics at the University of Zaragoza, is part of a series of events that aim to illustrate and disseminate the evolution of research in the field of Artificial Intelligence.
The seminar, organized by Intesa Sanpaolo Innovation Center, is scheduled via remote connection on Monday June 19th at 11.00-12.00. The event will be held in English.
Complex Systems exhibit emergent system-wide properties that cannot be deduced from the behavior of their components, e.g., the whole is greater than the sum of its parts. Modern science has developed sets of tools that allow tackling complex challenges where interdependencies play a key role. Here, we provide an overview of the above mentioned techniques and show that the use of network and data sciences and mathematical modeling could provide novel insights and new perspectives to deal with scenarios in which a given system is subject to multiple -both in time and space- stresses. To illustrate the potentiality of the methodologies discussed, we present a specific application: how to optimize the distribution of individuals in tasks, or clients to portfolios, given a set of constraints?
Yamir Moreno (PhD in Physics, 2000) is the Director of the Institute for Biocomputation and Physics of Complex Systems and Professor of Physics at the University of Zaragoza. He is a Research Director and Chair of the Steering Committee of Centai Institute in Turin, Italy and External Professor of the Complexity Science Hub Vienna, Austria. He is a Highly Cited Researcher that has been recognized with several international scientific awards and is an elected Fellow of the American Physical Society and the Network Science Society. Prof. Moreno was the President of the Network Science Society (2018-2022) and of the Complex Systems Society (2015-2018).