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NetLab Network FRSC INSNA Founder
http://www.chass.utoronto.ca/~wellman twitter: @barrywellman
NETWORKED: The New Social Operating System Lee Rainie & Barry Wellman
Introduction to focus issue: Patterns of network synchronization
The study of synchronization of coupled systems is currently undergoing a major surge fueled by recent discoveries of new forms of collective dynamics and the development of techniques to characterize a myriad of new patterns of network synchronization. This includes chimera states, phenomena determined by symmetry, remote synchronization, and asymmetry-induced synchronization. This Focus Issue presents a selection of contributions at the forefront of these developments, to which this introduction is intended to offer an up-to-date foundation.
Introduction to focus issue: Patterns of network synchronization Daniel M. Abrams, Louis M. Pecora and Adilson E. Motter
Chaos 26, 094601 (2016); http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=c7e88cdd73&e=55e25a0e3e
Source: scitation.aip.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=66022fa852&e=55e25a0e3e)
The Self-Organizing Society: The Role of Institutions
Is it possible to constrain a human society in such a way that self-organization will thereafter tend to produce outcomes that advance the goals of the society? Such a society would be self-organizing in the sense that individuals who pursue only their own interests would none-the-less act in the interests of the society as a whole, irrespective of any intention to do so. I sketch an agent-based model that identifies the conditions that must be met if such a self-organizing society is to emerge. The model draws heavily on an understanding of how self-organizing societies have emerged repeatedly during the evolution of life on Earth (e.g. evolution has produced societies of molecular processes, of simple cells, of eukaryote cells and of multicellular organisms). The model demonstrates that the key enabling requirement for a self-organizing society is ˙˙consequence-capture˙˙. Broadly this means that all agents in the society must capture sufficient of the benefits (and harms)
that are produced by the impact of their actions on the goals of the society. If this condition is not met, agents that invest resources in actions that produce societal benefits will tend to be out-competed by those that do not. This ˙˙consequence-capture˙˙ condition can be met where a society is managed by appropriate systems of evolvable constraints that suppress free riders and support pro-social actions. In human societies these constraints include institutions such as systems of governance and social norms. If a self-organizing society is to emerge, consequence-capture must occur for all agents in the society, including those involved in the establishment and adaptation of institutions. By implementing consequence-capture, appropriate institutions can produce a self-organizing society in which the interests of all agents (including individuals, associations, firms, multi-national corporations, political organizations, institutions and governments) are aligned with those
of the society as a whole.
The Self-Organizing Society: The Role of Institutions
John E. Stewart
Source: papers.ssrn.com (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=b9b6df89b1&e=55e25a0e3e)
Crossroads in Complex Systems
The conference Crossroads in Complex Systems, will take place at IFISC, Mallorca (Spain), 5-8 June 2017, on occasion of the 10th anniversary of IFISC (Institute for Cross-Disciplinary Physics and Complex Systems, UIB-CSIC) .
Thematic keynote, invited and contributed talks, a poster session, round-table discussions and a public event will contribute to a rich program. The conference aims to represent a broad spectrum of topics on Complex Systems as wide, at least, as the IFISC range of research lines.
Source: crossroads2017.ifisc.uib-csic.es (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=735c037e00&e=55e25a0e3e)
Four Tenure-Track Positions in Computer Science & Complex Systems
The College of Engineering and Mathematical Sciences (CEMS) at the University of Vermont (UVM) is seeking applications for four tenure-track faculty positions in Computer Science and Complex Systems, with a Fall 2017 start date. These positions will be at the rank of Assistant Professor, or Associate Professor with tenure for outstanding candidates already at that rank. We seek candidates with active research in one or more of the following areas:
˙˙ Cybersecurity, especially in languages and verification, or applications of machine learning or complex systems approaches to cybersecurity.
˙˙ Computational Intelligence, broadly defined to include data mining, machine learning, data science, bio-inspired approaches, and Deep Learning, with broad potential for applications to Big Data in areas such as biology, medicine, cybersecurity, social science, sociotechnical systems, and/or environmental science.
˙˙ Complex Systems, modeling and/or analysis of emergent phenomena allied with data-driven empirical work, ideally with applications in biology, medicine, cybersecurity, the social sciences, sociotechnical systems, and/or environmental science.
˙˙ Computational Biology, computational approaches to the study of biological systems such as in genomics, proteomics, phylogenetics, biological pathways or networks, etc.
Source: www.uvm.edu (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=b95601868e&e=55e25a0e3e)
Sponsored by the Complex Systems Society.
Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.
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