• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Home
  • About
  • Research
  • Conference
    • CCS/Italy 2019
    • CCS/Italy 2023
  • Jobs
  • Events
  • Members
    • Labs
    • Executive Board
    • Local Coordinators
    • All
  • Contact

CSS/Italy

Italian Chapter of Complex Systems Society

complex system society

May 30, 2018 events

CCS2018 Satellite. ReACT#3: Robustness, Adaptability and Critical Transitions in Living Systems.

After the success of the Satellite at ECCS 2014 and CCS 2016, we would like to propose a follow-up Satellite always focusing on Robustness, Adaptability and Critical Transitions in Living Systems

Living systems are characterized by the recurrent emergence of patterns: power-laws distributions, long-range correlations and structured self-organization in living matter are the norm, rather than the exception. All these features are also typical of thermo-dynamical systems poised near a critical point. The great lesson from physics is that criticality can emerge as a collective behaviour in a many-body system with simple (e.g. pairwise) interactions and its characteristics depend only on few details like the dimensionality or symmetries.

In a statistical-mechanics approach, it is fundamental to determine the order parameter, which characterizes the different system phases. This is a crucial step to obtain the key ingredients needed to formulate a modeling framework, so as to obtain a better understanding of the system’s macroscopic behaviour. However, the understating of biological/social systems needs more than a mere generalization of the standard statistical mechanics approach.

One of the most striking feature of living systems is that they are structured as evolving systems were interactions can turn-on or off, as well as strengthening and weakening, reconfiguring the system connectivity. Thus, by rearranging both the structural and functional topology, living interacting systems may demonstrate unique evolvability, scalability and adaptability properties.

It is of crucial importance to make further steps in the understanding of the main properties that simultaneously confer to these systems high level of both adaptability and robustness. If we can “learn” from evolution, then we would be able to both better manage/supervise these systems and also design more optimal and sustainable new systems.

Relevance to the conference main tracks

1. Foundations of Complex Systems* (Complex networks, self-organization, nonlinear dynamics, statistical physics, mathematical modeling, simulation)

2. Biological Complexity* (Biological networks, system biology, evolution, natural science, medicine and physiology)

 

DEADLINE: June 27, 2018

https://easychair.org/cfp/ReACT3

 

Primary Sidebar

Newsletter

Tags

blockchain cognitive complex networks complex systems complex system society cortex data science digital humanities disease Dottorato ecosystems dynamics; diauxic shifts; competitive-exclusion principle energy energy markets epidemiology genetics graphene infectious diseases information diffusion interdependent systems Master misinformation mobility multilayer networks networks network science neuroscience open positions PhD position Physic of Data post-doc recurrence plots Renewable energy sources satellite social social bots socio-ecological systems socio-technical systems statistical physics Stochastic systems storage systems summer school time series analysis University of Padova workshop registration zimbabwe

Follow our research, events and job opportunities:

  • events (20)
  • jobs (11)
  • research (32)
  • Uncategorized (1)

Login

Register
Forgot your password?

Copyright© 2023 · Cookd Pro Theme by Shay Bocks