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Multiscale Organizational Principles in Active Matter and Living Systems

This project seeks to understand the role of multiscale structures and dynamics in the self-organizing complexity of active matter and living systems. We will use agent-based simulations, data, and theory to study how energy and information produce collective dynamics. Additionally, we will use evolutionary models of Boolean and adaptive networks to explore the origins and consequences of multiscale modularity in biological networks. Our goal is to develop a new perspective on multiscale processes in self-organization and formulate testable hypotheses to interpret complex datasets and manage and control complex systems. The project will produce groundbreaking research that will change our view of emergent phenomena across multiple disciplines.

Acknowledgment

This project was made possible through the support of Grant 62213 from the John Templeton Foundation. The opinions expressed in this publication are those of the author(s) and do not necessarily reflect the views of the John Templeton Foundation.

PROJECT TEAM

The research team for this project consists of three theoretical physicists who specialize in the analysis of complex systems and active matter. Further details can be obtained by clicking on the photographs, or clicking on the "Team" section.

Self-organization is a process where entities in a system spontaneously align and cooperate in order to optimize their collective behavior and performance. In living systems, can be seen in the emergence of complex biological structures, such as cells and organs. Self-organization arises out of the interactions between the entities in a system. As they interact, they share information and feedback with one another, which helps them to learn and adapt. Over time, the system as a whole becomes more efficient and coordinated.

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