Self-organizing and Systems Mapping
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Social Evolution: New Horizons

Cooperation is a widespread natural phenomenon yet current evolutionary thinking is dominated by the paradigm of selfish competition. Recent advanced in many fronts of Biology and Non-linear Physics are helping to bring cooperation to its proper place. In this contribution, the most important controversies and open research avenues in the field of social evolution are reviewed. It is argued that a novel theory of social evolution must integrate the concepts of the science of Complex Systems with those of the Darwinian tradition. Current gene-centric approaches should be reviewed and complemented with evidence from multilevel phenomena (group selection), the constrains given by the non-linear nature of biological dynamical systems and the emergent nature of dissipative phenomena.


Social Evolution: New Horizons
Octavio Miramontes, Og DeSouza

http://arxiv.org/abs/1404.6267


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Fascinating article suggesting a new evolutionary theory that recognizes the critical importance of cooperation and mutualism.

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Jose Ali Vivas's curator insight, May 3, 2014 9:56 AM

Cooperation is a widespread natural phenomenon... sure!

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Distributed power and movements coming of age

While
spontaneous movements such as Occupy Wall Street may have been too autonomous
for their own good, leaving more freedom up to local groups has
its benefits for cause-based organizations.
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Why we need democracy 2.0 and capitalism 2.0 to survive

The world is running into great trouble. 

The anthropocene challenges (including climate change, impending resource shortages, demographic change, conflict, financial and economic crises) call for entirely new answers. 

As a result, we are now seeing the emergence of data-driven societies around the globe. Feudalism 2.0, fascism 2.0, communism 2.0, socialism 2.0, democracy 2.0 and capitalism 2.0 can now be built. 

What framework should we choose? What would be the implications?

 

http://futurict.blogspot.ch/2016/04/why-we-need-democracy-20-and-capitalism.html


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Zygmunt Bauman: “Social media are a trap”

Zygmunt Bauman: “Social media are a trap” | Self-organizing and Systems Mapping | Scoop.it
An inspiration for Spain’s May 15 movement, the sociologist is skeptical about chances for change
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Exploring future possibilities by mapping "dispositionalities"

Exploring future possibilities by mapping "dispositionalities" | Self-organizing and Systems Mapping | Scoop.it
It's good to have Dave Snowden back from his treks in the Himalayas. He's been a big influence on my thinking and practice over the past few years and his near daily blog posts are always rich
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An Experimental Study of Team Size and Performance on a Complex Task

The relationship between team size and productivity is a question of broad relevance across economics, psychology, and management science. For complex tasks, however, where both the potential benefits and costs of coordinated work increase with the number of workers, neither theoretical arguments nor empirical evidence consistently favor larger vs. smaller teams. Experimental findings, meanwhile, have relied on small groups and highly stylized tasks, hence are hard to generalize to realistic settings. Here we narrow the gap between real-world task complexity and experimental control, reporting results from an online experiment in which 47 teams of size ranging from n = 1 to 32 collaborated on a realistic crisis mapping task. We find that individuals in teams exerted lower overall effort than independent workers, in part by allocating their effort to less demanding (and less productive) sub-tasks; however, we also find that individuals in teams collaborated more with increasing team size. Directly comparing these competing effects, we find that the largest teams outperformed an equivalent number of independent workers, suggesting that gains to collaboration dominated losses to effort. Importantly, these teams also performed comparably to a field deployment of crisis mappers, suggesting that experiments of the type described here can help solve practical problems as well as advancing the science of collective intelligence.

 

Mao A, Mason W, Suri S, Watts DJ (2016) An Experimental Study of Team Size and Performance on a Complex Task. PLoS ONE 11(4): e0153048. http://dx.doi.org/10.1371/journal.pone.0153048


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Essential Mindsets of the High Performing Team of the 21st Century

Essential Mindsets of the High Performing Team of the 21st Century | Self-organizing and Systems Mapping | Scoop.it

What is the secret sauce that enables teams, in all industries, across all sectors, the whole world over, to perform and thrive to their absolute fullest potential? Why do some teams flounder, while others do fine, and others perform and succeed beyond bounds?


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John Lasschuit ®™'s curator insight, April 23, 7:19 AM

By Dara Goldberg. Does your team possess any of these mindsets? Do your team members recognize the importance of being attuned to and cultivating 21st century mindsets that position individuals and the team as a whole to thrive to their fullest and beyond?

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Linking Individual and Collective Behavior in Adaptive Social Networks

VERY IMPORTANT!  Adaptive social structures are known to promote the evolution of cooperation. However, up to now the characterization of the collective, population-wide dynamics resulting from the self-organization of individual strategies on a coevolving, adaptive network has remained unfeasible. Here we establish a (reversible) link between individual (micro)behavior and collective (macro)behavior for coevolutionary processes. We demonstrate that an adaptive network transforms a two-person social dilemma locally faced by individuals into a collective dynamics that resembles that associated with an N-person coordination game, whose characterization depends sensitively on the relative time scales between the entangled behavioral and network evolutions. In particular, we show that the faster the relative rate of adaptation of the network, the smaller the critical fraction of cooperators required for cooperation to prevail, thus establishing a direct link between network adaptation and the evolution of cooperation. The framework developed here is general and may be readily applied to other dynamical processes occurring on adaptive networks, notably, the spreading of contagious diseases or the diffusion of innovations.

 

Linking Individual and Collective Behavior in Adaptive Social Networks
Flávio L. Pinheiro, Francisco C. Santos, and Jorge M. Pacheco
Phys. Rev. Lett. 116, 128702

http://dx.doi.org/10.1103/PhysRevLett.116.128702


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Complexity Digest's curator insight, April 13, 4:29 PM

If networks adapt faster, then less cooperators are required for cooperation to prevail.

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Platform Cooperativism

This #PlatformCoopBerlin report comprises an introduction into the notion of platform cooperativism, references and links to main activists, activities and fur…
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Designing Culture: Strategies for Bringing Creativity to Your Organization - thedesigngym.com

Designing Culture: Strategies for Bringing Creativity to Your Organization - thedesigngym.com | Self-organizing and Systems Mapping | Scoop.it
When you want your organization to be more innovative or creative, how do you go about leading a creative revolution from within?
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Changing Our Models of Change

Changing Our Models of Change | Self-organizing and Systems Mapping | Scoop.it
In a blog last year, Matthew Taylor, Chief Executive of the Royal Society of the Arts wrote “Ideas about social and economic reform are only as useful as the model of change that goes with them.” I
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Understanding the group dynamics and success of teams

This is what I've been saying about self-organized collaborations too!  We need to really study this!

 

 

Complex problems often require coordinated group effort and can consume significant resources, yet our understanding of how teams form and succeed has been limited by a lack of large-scale, quantitative data. We analyse activity traces and success levels for approximately 150 000 self-organized, online team projects. While larger teams tend to be more successful, workload is highly focused across the team, with only a few members performing most work. We find that highly successful teams are significantly more focused than average teams of the same size, that their members have worked on more diverse sets of projects, and the members of highly successful teams are more likely to be core members or ‘leads’ of other teams. The relations between team success and size, focus and especially team experience cannot be explained by confounding factors such as team age, external contributions from non-team members, nor by group mechanisms such as social loafing. Taken together, these features point to organizational principles that may maximize the success of collaborative endeavours.

 

Understanding the group dynamics and success of teams
Michael Klug, James P. Bagrow

Royal Society Open Science

http://dx.doi.org/10.1098/rsos.160007


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Dynamics of beneficial epidemics

Pathogens can spread epidemically through populations. Beneficial contagions, such as viruses that enhance host survival or technological innovations that improve quality of life, also have the potential to spread epidemically. How do the dynamics of beneficial biological and social epidemics differ from those of detrimental epidemics? We investigate this question using three theoretical approaches as well as an empirical analysis of concept propagation. First, in evolutionary models, we show that a beneficial horizontally-transmissible element, such as viral DNA, spreads super-exponentially through a population, substantially more quickly than a beneficial mutation. Second, in an epidemiological social network approach, we show that infections that cause increased connectivity lead to faster-than-exponential fixation in the population. Third, in a sociological model with strategic rewiring, we find that preferences for increased global infection accelerate spread and produce super-exponential fixation rates, while preferences for local assortativity halt epidemics by disconnecting the infected from the susceptible. Finally, in an investigation of the Google Ngram corpus, we find that new words and phrases spread super-exponentially, as anticipated by our models. We conclude that the dynamics of beneficial biological and social epidemics are characterized by the remarkably rapid spread of beneficial elements, which can be facilitated in biological systems by horizontal transmission and in social systems by active spreading strategies of infected individuals.

 

Andrew Berdahl, Christa Brelsford, Caterina De Bacco, Marion Dumas, Vanessa Ferdinand, Joshua A. Grochow, Laurent Hébert-Dufresne, Yoav Kallus, Christopher P. Kempes, Artemy Kolchinsky, Daniel B. Larremore, Eric Libby, Eleanor A. Power, Caitlin A. Stern, Brendan Tracey (Santa Fe Institute Postdocs)

http://arxiv.org/abs/1604.02096


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Habits of a Systems Thinker - Waters Foundation

Habits of a Systems Thinker - Waters Foundation | Self-organizing and Systems Mapping | Scoop.it
Habits of a Systems Thinker The Habits of a Systems Thinker …
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The difference between social learning and social collaboration

First published 25 March 2015 In my framework of Modern Workplace Learning (see diagram on right)  I use the term social collaboration to label an important new element of work of the modern-day L&…
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Teams Who Share Personal Stories Are More Effective

Teams Who Share Personal Stories Are More Effective | Self-organizing and Systems Mapping | Scoop.it
Storytelling leads to self-awareness.
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Ivon Prefontaine's curator insight, April 26, 1:14 PM
Stories and humour help bridge many differences betweeen people.
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Linking Individual and Collective Behavior in Adaptive Social Networks

Adaptive social structures are known to promote the evolution of cooperation. However, up to now the characterization of the collective, population-wide dynamics resulting from the self-organization of individual strategies on a coevolving, adaptive network has remained unfeasible. Here we establish a (reversible) link between individual (micro)behavior and collective (macro)behavior for coevolutionary processes. We demonstrate that an adaptive network transforms a two-person social dilemma locally faced by individuals into a collective dynamics that resembles that associated with an N-person coordination game, whose characterization depends sensitively on the relative time scales between the entangled behavioral and network evolutions. In particular, we show that the faster the relative rate of adaptation of the network, the smaller the critical fraction of cooperators required for cooperation to prevail, thus establishing a direct link between network adaptation and the evolution of cooperation. The framework developed here is general and may be readily applied to other dynamical processes occurring on adaptive networks, notably, the spreading of contagious diseases or the diffusion of innovations.

 

Linking Individual and Collective Behavior in Adaptive Social Networks
Flávio L. Pinheiro, Francisco C. Santos, and Jorge M. Pacheco
Phys. Rev. Lett. 116, 128702

http://dx.doi.org/10.1103/PhysRevLett.116.128702


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Complexity Digest's curator insight, April 13, 4:29 PM

If networks adapt faster, then less cooperators are required for cooperation to prevail.

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After the Gold Rush: OuiShare Fest 2016 Embraces Action and Experimentation | P2P Foundation

OuiShare Fest is a gathering of international thought-leaders, change-makers and doers, brought together to share ideas, challenges, experiences and more
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Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems

Hybrid societies are self-organizing, collective systems, which are composed of different components, for example, natural and artificial parts (bio-hybrid) or human beings interacting with and through technical systems (socio-technical). Many different disciplines investigate methods and systems closely related to the design of hybrid societies. A stronger collaboration between these disciplines could allow for re-use of methods and create significant synergies. We identify three main areas of challenges in the design of self-organizing hybrid societies. First, we identify the formalization challenge. There is an urgent need for a generic model that allows a description and comparison of collective hybrid societies. Second, we identify the system design challenge. Starting from the formal specification of the system, we need to develop an integrated design process. Third, we identify the challenge of interdisciplinarity. Current research on self-organizing hybrid societies stretches over many different fields and hence requires the re-use and synthesis of methods at intersections between disciplines. We then conclude by presenting our perspective for future approaches with high potential in this area.

 

Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems

Heiko Hamann, Yara Khaluf, Jean Botev, Mohammad Divband Soorati, Eliseo Ferrante, Oliver Kosak, Jean-Marc Montanier, Sanaz Mostaghim, Richard Redpath, Jonathan Timmis, Frank Veenstra, Mostafa Wahby, Aleš Zamuda
Front. Robot. AI, 11 April 2016 | http://dx.doi.org/10.3389/frobt.2016.00014


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Dynamical Systems on Networks

Dynamical Systems on Networks | Self-organizing and Systems Mapping | Scoop.it

When studying a dynamical process, one is concerned with its behavior as a function of time, space, and its parameters. There are numerous studies that examine how many people are infected by a biological contagion and whether it persists from one season to another, whether and to what extent interacting oscillators synchronize, whether a meme on the internet becomes viral or not, and more. These studies all have something in common: the dynamics are occurring on a set of discrete entities (the nodes in a network) that are connected to each other via edges in some nontrivial way. This leads to the natural question of how such underlying nontrivial connectivity affects dynamical processes. This is one of the most important questions in network science, and it is the core question that we consider in our tutorial.

 

Dynamical Systems on Networks
A Tutorial
Authors: Mason A. Porter, James P. Gleeson
ISBN: 978-3-319-26640-4 (Print) 978-3-319-26641-1

http://link.springer.com/book/10.1007/978-3-319-26641-1 


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Building a Movement: From Occupy Wall Street to Bernie Sanders

Building a Movement: From Occupy Wall Street to Bernie Sanders | Self-organizing and Systems Mapping | Scoop.it
The popularity of a once-obscure senator from Vermont is the product of years of organizing and agitation by social movements.
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What Zappos' Self-Managed Teams Should Look Like When They're Done

What Zappos' Self-Managed Teams Should Look Like When They're Done | Self-organizing and Systems Mapping | Scoop.it
Traditionalists dismiss self-managed teams as woo-woo crap. But they are a central strategy for the emerging work world of the Participation Age. How do you know you have self-managed teams? The test is simple.
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What Google Learned From Its Quest to Build the Perfect Team

What Google Learned From Its Quest to Build the Perfect Team | Self-organizing and Systems Mapping | Scoop.it
New research reveals surprising truths about why some work groups thrive and others falter.
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