Networking the complexity community since 1999
Author: cxdig
Humans can live up to age 100, and not 1000 – why? Are there limits in how much our brains can think and compute? The laws of physics can help explain a lot, both about our own human bodies and how we are connected to life all around us.
Listen at: complexity.simplecast.com
Tomoko Sakiyama
Physica Scripta
Random Boolean Networks (RBNs) model complex networks with numerous variables, serving as a tool for gene expression and genetic regulation modeling. RBNs exhibit phase transitions, contingent on node degrees. Given the significance of phase transitions in collective behaviors, the study explores the relationship between RBNs and actual living system networks, which also display critical behaviors. Notably, living systems exhibit such behaviors even beyond the predicted critical point in RBNs. This paper introduces a novel RBNs model incorporating a rewiring process for edge connections/disconnections. In contrast to prior studies, our model includes artificial genes occasionally adding self-loops and creating an instant and temporal lookup table. Consequently, our proposed model demonstrates the edge of chaos at higher node degrees. It serves as an abstract RBNs model generating noisy behaviors from internal agent processes without external parameter tuning.
Read the full article at: iopscience.iop.org
The Complex Systems Society announces the ninth edition of the CSS Scientific Awards.
The Emerging Researcher Award recognizes promising researchers in Complex Systems within 3 years of the PhD defense.
The Junior Scientific Award is aimed at recognizing excellent scientific record of young researchers within 10 years of the PhD defense.
The Senior Scientific Award will recognize outstanding contributions of Complex Systems scholars at whatever stage of their careers.
Deadline: April 30th, 2024.
More at: cssociety.org
May 13-17, 2024 Villa del Grumello, Como, Italy
Over the past decade, computational social science (CSS) has risen as an interdisciplinary field that combines methods and theories from computer science, statistics, and social sciences to study complex social phenomena using computational tools and techniques.
By leveraging the power of computing and data, computational social scientists aim to uncover patterns and trends in complex social systems that may be difficult or impossible to discern through traditional research methods.
Topics of interest include social networks, online communities, opinion dynamics, and collective decision-making, among others. Computational social science has become increasingly important as our world becomes more digitised, and its insights have significant implications for fields such as public policy, marketing, and sociology.
The First edition of the school Computational Social Science: Advances, Challenges and Opportunities is designed to provide an intensive and immersive learning experience for graduate students, postdoctoral researchers, and early career faculty interested in utilising computational methods to study social phenomena.
The school will be open to 45 selected students. Application deadline: February 25th, 2024
More at: css.lakecomoschool.org
20 years of CCS
Welcome to the 20th Conference on Complex Systems, CCS2024! The CCS is the flagship annual meeting for the complex systems research community, operating within the framework of the Complex Systems Society. This special 20th anniversary conference is jointly organised by Northeastern University London and the University of Exeter.
We welcome participants looking to appreciate the connection with the multidisciplinary community that CCS brings together. In this 20th edition of the conference we welcome young researchers for a warm-up session in beautiful London, followed by the main conference just a train ride away in Exeter.
More at: ccs24.cssociety.org
Complexity Digest 