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antropologiaNet, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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Introduction to Complexity | Santa Fe Institute

Introduction to Complexity | Santa Fe Institute | e-Xploration | Scoop.it

Instructor: Melanie Mitchell
Launch date: January 28, 2013
Prerequisites: None
Cost: Free
Credit offered: None, though everyone who successfully finishes the course will receive a certificate of completion from the Santa Fe Institute.
Course length: 11 weeks
Approximate workload: 3-6 hours per week


Via Complexity Digest
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Complejidady Economía's curator insight, December 28, 2012 8:09 PM

Curso en línea

Trimtab-in-Training 's comment, January 2, 2013 9:36 PM
Thank You, Thank You, Thank You, Thank You, Thank You, Thank You...(pause for breathe) THANK YOU for this post! This is awesome!
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Introducing the Internet of Things - INFOGRAPHIC

Introducing the Internet of Things - INFOGRAPHIC | e-Xploration | Scoop.it
#INFOGRAPHIC - : The Internet Moves Out of the Box: Introducing the Internet of Things http://t.co/LabkL3Sx...

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Gartner apuesta por cloud, social, movilidad y big data para 2013 | Think Big

Gartner apuesta por cloud, social, movilidad y big data para 2013 | Think Big | e-Xploration | Scoop.it
luiy's insight:

Gartner define The Nexus of Forces como la convergencia e interdependencia de cuatro tendencias fundamentales: cloud, social, movilidad y  big data (grandes cantidades de datos transformados en información útil). La dependencia entre estas fuerzas está transformando el comportamiento de los usuarios y creando nuevos modelos de negocio.


El “Internet de las cosas” hará que miles de millones de dispositivos estén conectados a Internet generando y consumiendo información (se estima que en 2020 habrá 30.000 millones de dispositivos conectados a la red permanentemente y 200.000 millones de forma ocasional). Se requieren nuevos modelos de almacenamiento y procesamiento de la información (big data) y mayores capacidades de procesamiento analítico de la información. Las tecnologías están ya disponibles y las empresas capaces de implementarlas para sus clientes tendrán ventajas competitivas.

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Stigmergy

Stigmergy | e-Xploration | Scoop.it
This article is part of a series: ‘Governance and other systems of mass collaboration’. Stigmergy is a mechanism of indirect coordination between agents or actions. The principle is tha...

Via Howard Rheingold
luiy's insight:
Stigmergy coordinates dumb agents like ants into seemingly intelligent behavior. It can also coordinate intelligent agents like humans. We're just beginning to learn how to design stigmergic collaboration environments. Howard

 

"Stigmergy is a mechanism of indirect coordination between agents or actions. The principle is that the trace left in the environment by an action stimulates the performance of a next action, by the same or a different agent. In that way, subsequent actions tend to reinforce and build on each other, leading to the spontaneous emergence of coherent, apparently systematic activity.


Stigmergy is a form of self-organization. It produces complex, seemingly intelligent structures, without need for any planning, control, or even direct communication between the agents. – Wikipedia"


The future

A new system of governance or collaboration that does not follow a competitive hierarchical model will need to employ stigmergy in most of its action based systems. It is neither reasonable nor desirable for individual thought and action to be subjugated to group consensus in matters which do not affect the group, and it is frankly impossible to accomplish complex tasks if every decision must be presented for approval; that is the biggest weakness of the hierarchical model. The incredible success of so many internet projects are the result of stigmergy, not cooperation, and it is stigmergy that will help us build quickly, efficiently and produce results far better than any of us can foresee at the outset.

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David Hain's curator insight, January 3, 2013 3:27 AM

Horrible word, nice concept...

Kurt Laitner's curator insight, January 3, 2013 9:56 PM

Hits pretty much all the bells, I will be pointing at this article a lot in the future to save breath.

Brigitte Roujol's comment, January 23, 2013 3:57 AM
Merci de m'avoir fait découvrir cette notion.
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Networked Society

Networked Society | e-Xploration | Scoop.it
Interesting documentary series that explores the population, connectivity, predictions, and the way we learn. 1. Thinking Cities. The world population is
luiy's insight:

1. Thinking Cities. The world population is expected to soar to more than 9 billion people by 2050, with roughly 70 percent living in cities. At the same time, Information Communications Technology (ICT) is extending its reach.

2. On the Brink. The past, present and future of connectivity with insights from technological thought leaders including David Rowan, chief editor of Wired UK; Caterina Fake, founder of Flickr; and Eric Wahlforss, the co-founder of Soundcloud.

3. Shaping Ideas. During the course of a year we traveled the world interviewing top thinkers to gather their predictions regarding how we will see the world in year 2020. Their insights touched on many aspects of modern society; communication, female empowerment, the health of our planet and the future for young people.

4. The Future of Learning. Technology has enabled us to interact, innovate and share in whole new ways. This dynamic shift in mindset is creating profound change throughout our society. The Future of Learning looks at one part of that change, the potential toredefine how we learn and educate.

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Anthropology as BIG DATA: Making the Case for Ethnography as a Critical Dimension in Digital Media and Technology Studies

Anthropology as BIG DATA: Making the Case for Ethnography as a Critical Dimension in Digital Media and Technology Studies | e-Xploration | Scoop.it
Lecture (11/13, Berkeley): Anthropology as BIG DATA: Making the Case for Ethnography in Digital Media & Tech Studies: http://t.co/39PVilmt...

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UnderstandingSociety: The social world as morphogenesis

UnderstandingSociety: The social world as morphogenesis | e-Xploration | Scoop.it

She refers to her view as the "morphogenetic" approach. Here is how she explains this concept:
The 'morpho' element is an acknowledgement that society has no pre-set form or preferred state: the 'genetic' part is a recognition that it takes its shape from, and is formed by, agents, originating from the intended and unintended consequences of their activities.

 

So what is Archer's central notion, the idea of morphogenesis? It is the idea that processes of change occur for agents and social structures in interlocking and temporally complex ways. Agents are formed within a set of social structures -- norms, language communities, power relationships. The genesis of the agent occurs within the context of these structures. On a larger time scale, the structures themselves change as a result of the activities and choices of the historically situated individuals who make them up. She summarizes this ontology as a set of cycles with different time frames: structural conditioning => social interaction => structural elaboration (16). This notion leads Archer to a conception of the social and the actor that reflects a fundamentally historical understanding of social processes. Formation and transformation are the central metaphors (154).


Via starwalker, A. J. Alvarez-Socorro
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Application of Complexity Theory: Away from Reductionist Phase Transitions

Application of Complexity Theory: Away from Reductionist Phase Transitions | e-Xploration | Scoop.it
Reductionism persists as a useful node in the possibility space of understanding and managing the world around us. However the possibility space is now expanding to higher levels of resolution such as a focus on complex systems.

Via Wildcat2030
luiy's insight:

Reductionism persists as a useful node in the possibility space of understanding and managing the world around us. However the possibility space is now expanding to higher levels of resolution such as a focus on complex systems. Learning and tools are ratcheting in lock-step.

Some of the key complexity-related concepts in understanding collective behavior in real-life physical systems like the burning of a forest fire include:

  • Organization and Self-Organization: Self-orchestration into order in both living and non-living systems, for example: salt crystals, graphene, protein molecules, schools of fish, flocks of birds, bee hives, intelligence and the brain, social structures 

  • Order and Stability of Systems: Measurements of order, stability, and dynamical break-down in systems such as entropy, symmetry (and symmetry-breaking), critical point, phase transition, boundaries, and fractals (101 primer)

  • Tunable Parameters: An element or parameter which doesn’t control the system, but can be tuned to influence the performance of the system (for example, temperature is a tunable parameter in the complex system of water becoming ice) 

  • Perturbation and Reset: How and how quickly systems reset after being perturbed is another interesting aspect of complex systems 
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Wildcat2030's curator insight, December 16, 2012 6:08 PM

Organization and Self-Organization: Self-orchestration into order in both living and non-living systems, for example: salt crystals, graphene, protein molecules, schools of fish, flocks of birds, bee hives, intelligence and the brain, social structures 

Order and Stability of Systems: Measurements of order, stability, and dynamical break-down in systems such as entropy, symmetry (and symmetry-breaking), critical point, phase transition, boundaries, and fractals (101 primer)

Tunable Parameters: An element or parameter which doesn’t control the system, but can be tuned to influence the performance of the system (for example, temperature is a tunable parameter in the complex system of water becoming ice) 

Perturbation and Reset: How and how quickly systems reset after being perturbed is another interesting aspect of complex systems

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Mis más de 40 vídeos en línea | Contextos universitarios mediados

Mis más de 40 vídeos en línea | Contextos universitarios mediados | e-Xploration | Scoop.it

Via L. García Aretio
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L. García Aretio's curator insight, January 2, 2013 7:35 AM

Hace unos meses les facilitaba a ustedes una buena cantidad (130) documentos (libros y artículos) míos en línea, la práctica totalidad de ellos sobre educación a distancia y todo lo que rodea a este fenómeno: denominaciones, componentes, recursos, modalidades, actores, metodología, políticas, etc., etc. Se trataba de un alto porcentaje de mis trabajos publicados. Los que no están en línea es debido a los derechos editoriales contra lo que poco puedo hacer y que obviamente hemos de respetar. Pueden ustedes acceder a este repositorio de trabajos míos en línea desde otra entrada de este blog, AQUÍ...

Marianella Careaga Butter's comment, January 2, 2013 12:31 PM
gracias por compartir su experiencia.
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The Social Networks of Myths

The Social Networks of Myths | e-Xploration | Scoop.it

Social-network analysis of the characters in mythological texts reveal how realistic the myths are, by looking at how closely they ressemble the patterns of real social-networks. Realistic myths can reveal clues about their respective ancient civilization.


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Who's connected to whom in Hadoop world [infographic]

Who's connected to whom in Hadoop world [infographic] | e-Xploration | Scoop.it
To say there are a lot of companies involved in the Hadoop ecosystem would be an understatement. To say partnership strategies are broad would be one, too.

Via Armando Reis, Lutz, eRelations
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Enterprise Software Doesn't Have to Suck: Social Network Analysis using R and Gephis

Enterprise Software Doesn't Have to Suck: Social Network Analysis using R and Gephis | e-Xploration | Scoop.it

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Knowledge Sharing Tools and Methods Toolkit - Social Network Analysis

Knowledge Sharing Tools and Methods Toolkit - Social Network Analysis | e-Xploration | Scoop.it

"Social network analysis is the mapping and measuring of relationships and flows between people, groups, organisations, computers or other information/knowledge processing entities." (Valdis Krebs, 2002). Social Network Analysis (SNA) is a method for visualizing our people and connection power, leading us to identify how we can best interact to share knowledge.


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[infographie] A Simple Guide To 4 Complex Learning Theories - Edudemic

[infographie] A Simple Guide To 4 Complex Learning Theories - Edudemic | e-Xploration | Scoop.it

Do you know the actual theories of learning? A learning theory is an attempt to describe how people learn, helping us understand this inherently complex process.


Via CECI Jean-François, Marcel Lebrun, Gilles Le Page, Yann Leroux
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Marcel Lebrun's curator insight, December 27, 2012 10:32 AM

Une belle infographie pour comprendre quelques théories sur l'apprentissage , comment elles se complètent et en quoi elles se distinguent ...

nihal abitiu's curator insight, December 28, 2012 6:59 AM

theories of learning

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Create Infographics with easel.ly

Create Infographics with easel.ly | e-Xploration | Scoop.it

This is a great free tool for creating sophisticated looking infographics. The tool uses well designed templates which you can edit and add your own information to. 


Via Nik Peachey, Frederic Emam-Zade Gerardino
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Aris P. Louvris's comment, May 5, 2012 7:55 AM
Crashes when loading themes, still in beta. Needs more time perhaps...
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Formal e informal…¿se pueden entender?

Formal e informal…¿se pueden entender? | e-Xploration | Scoop.it
juandon A pesar de la gran popularidad de uso personal de los medios sociales en línea, un bajo porcentaje de estudiantes e instructores utilizarlos con fines educativos. Los profesores perciben qu...

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Study: 75 Percent Of The World’s Heads Of State Are Now On Twitter | TechCrunch

Study: 75 Percent Of The World’s Heads Of State Are Now On Twitter | TechCrunch | e-Xploration | Scoop.it
You know how some naysayers still like to dismiss Twitter as nothing more than a time wasting website where people talk about the sandwich they're eating? Here's another rebuttal for them.

Via Pierre Levy
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Peer-to-Peer Learning Handbook | Peeragogy.org

Peer-to-Peer Learning Handbook | Peeragogy.org | e-Xploration | Scoop.it

*Self-learners: largely self-directed learners who take it upon themselves to find useful ways to learn.


This project seeks to empower the worldwide population of self-motivated learners who use digital media to connect with each other, to co-construct knowledge, to co-learn. Co-learning is ancient; the capacity for learning by imitation and more, to teach others what we know, is the essence of human culture. We are human because we learn together. Today, however, the advent of digital production media and distribution/communication networks has raised the power of co-learning to a new level.


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Emergence, self–organization and morphogenesis in biological structures

Emergence, self–organization and morphogenesis in biological structures | e-Xploration | Scoop.it

Our approach deals essentially with pattern formation in biological systems far from equilibrium state, trying to underline a connection between the general principles of morphogenesis, the dynamics of the reaction–diffusion systems and the fractal analysis as a tool for modeling such processes.

 

The order inherent in the busy complexity within the cell may be largely self–organized and spontaneous rather than the consequence of natural selection alone.

 

Emergence is a fundamental property of complex systems and can be thought of as a new property or behavior, which appears due to non–linear interactions within the system; emergence may be considered the ‘product’ or by–product of the system. As our world becomes increasingly more interconnected, understanding how emergence arises and how to design for it and manage specific types of emergence is ever more important.

 

For example, self–organization, while linked with the appearance of hierarchical structures and system wide properties does not account for the emergence of true novelty or semantics and meaning.

 

The principles of construction in complex integrated systems of elements that allow the systems to adapt their behavior in a complex environment can be summarized in two themes: first, the emergence of profound spontaneous order; second, a bold hypothesis that the target of selection is a characteristic type of adaptive system poised between order and chaos.

 

The problem of cell differentiation is one of the two most basic issues in developmental biology.

 

Morphology is a marriage of underlying laws of form and the agency of selection.


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Journal on Self Computing (JSC)

Journal on Self Computing (JSC) | e-Xploration | Scoop.it

Journal on Self Computing (JSC), a quarterly peer-reviewed journal, aims to provide a prestigious forum for researchers and practitioners world-wide to exchange new results in design and development of computers, networks, and control systems with self-properties, where examples of self-properties include self-stabilizing, self-organizing, self-repairing, self-healing, self-adaptive, self-aware, self-coordinating, self-protecting, etc. Its scope includes:

Autonomic and adaptive systems
Self-optimizing and self-protecting systems
Self-organizing computing and networking techniques
Impossibility results and lower bounds on self-computing
Self-properties and their relation with classical fault-tolerance and security
Self-techniques for sensor networks, ad-hoc networks, vehicular networks
Self-control and actuation systems
Cyber-physical systems with self-properties
Bio-inspired techniques on self-systems
Stochastic, physical, and biological models with self-properties


Via Complexity Digest, A. J. Alvarez-Socorro
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IBM Watson Advances a New Category of Cognitive Computing | SmartData Collective

IBM Watson Advances a New Category of Cognitive Computing | SmartData Collective | e-Xploration | Scoop.it

IBM Watson blends existing and innovative technology into a new approach called cognitive computing.
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This innovative new approach to computing is designed to aid humans by working with natural language – English in the case of today’s Watson. This approach earned Watson the 2012 Technology Innovation Award in the category of Overall Operational Innovation.For those of you who are not used to the word cognitive, the foundation of cognition is the sum of all the thinking processes that contrib­ute to gaining knowledge for problem-solving. In computational systems these process­es are modeled using hardware and software; machine-based cognition thus is a step toward imbuing an arti­fi­cial system with attributes we typically consider human: the abilities to think and learn. Watson builds on a foundation of evidence from preexisting decisions and knowledge sources that it can load for reference in future inquiries. The evidence-based reasoning that Watson employs to answer question is part of the big deal in its approach.


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The Internet of Things Starts to Bear Fruit « A Smarter Planet Blog

The Internet of Things Starts to Bear Fruit « A Smarter Planet Blog | e-Xploration | Scoop.it
By Paul Brody People have been talking and writing about the Internet of Things for more than a decade.

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PLoS ONE: Social Network Analysis in Healthcare Settings: A Systematic Scoping Review

PLoS ONE: Social Network Analysis in Healthcare Settings: A Systematic Scoping Review | e-Xploration | Scoop.it
PLoS ONE: an inclusive, peer-reviewed, open-access resource from the PUBLIC LIBRARY OF SCIENCE. Reports of well-performed scientific studies from all disciplines freely available to the whole world.

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Sybase et KXEN vont plus loin dans l’analyse de données avec le ‘Social Network Analysis’ - SNA (Analyse des Réseaux Sociaux)

Sybase et KXEN vont plus loin dans l’analyse de données avec le ‘Social Network Analysis’ - SNA (Analyse des Réseaux Sociaux) | e-Xploration | Scoop.it
Grâce à la combinaison des solutions décisionnelles et de streaming Sybase et d’analyse prédictive KXEN, les entreprises ont accès à une nouvelle génération de solutions pour l’analyse de leurs réseaux sociaux Sybase, filiale de SAP, s’associe avec...

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Mapping Our Friendships Over Time and Space: The Future of Social Network Analysis

Mapping Our Friendships Over Time and Space: The Future of Social Network Analysis | e-Xploration | Scoop.it

What new things could we discover if social network analysis took time and space into account, in addition to the raw [...]


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