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e-Xploration
antropologo.net, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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Little data, big data and very big data (VBD) or big BS?

Little data, big data and very big data (VBD) or big BS? | e-Xploration | Scoop.it
If you are in any way associated with information technology (IT), business, scientific, media and entertainment computing or related areas, you may have heard big data mentioned. Big data have bee...
luiy's insight:

Of course the virtualization folks might want to if they have not already corner the V for Virtual Big Data. In that case, then instead of Very Big Data, how about very very Big Data (vvBD). How about Ultra-Large Big Data (ULBD), or High-Revenue Big Data (HRBD), granted the HR might cause some to think its unique for Health Records, or Human Resources, both btw leverage different forms of big data regardless of what you see or think big data is.

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The Twitter of Babel: Mapping World Languages through Microblogging Platforms

Large scale analysis and statistics of socio-technical systems that just a few short years ago would have required the use of consistent economic and human resources can nowadays be conveniently performed by mining the enormous amount of digital data produced by human activities. Although a characterization of several aspects of our societies is emerging from the data revolution, a number of questions concerning the reliability and the biases inherent to the big data "proxies" of social life are still open. Here, we survey worldwide linguistic indicators and trends through the analysis of a large-scale dataset of microblogging posts. We show that available data allow for the study of language geography at scales ranging from country-level aggregation to specific city neighborhoods. The high resolution and coverage of the data allows us to investigate different indicators such as the linguistic homogeneity of different countries, the touristic seasonal patterns within countries and the geographical distribution of different languages in multilingual regions. This work highlights the potential of geolocalized studies of open data sources to improve current analysis and develop indicators for major social phenomena in specific communities.

 

The Twitter of Babel: Mapping World Languages through Microblogging Platforms

Delia Mocanu, Andrea Baronchelli, Bruno Gonçalves, Nicola Perra, Alessandro Vespignani

http://arxiv.org/abs/1212.5238


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[Conference] « Just-in-time sociology » a new field for digital humanities?

[Conference] « Just-in-time sociology » a new field for digital humanities? | e-Xploration | Scoop.it
« Understanding social phenomena as they unfold » This workshop took place in preamble to the 4th International Conference on Social Informatics (SOCINFO 2012) and brought tog...

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Personal Learning Networks: Knowledge Sharing as Democracy | Collaboration | HYBRID PEDAGOGY

Personal Learning Networks: Knowledge Sharing as Democracy | Collaboration | HYBRID PEDAGOGY | e-Xploration | Scoop.it
Hybrid Pedagogy is an academic and networked journal of teaching and technology that combines the strands of critical and digital pedagogy to arrive at the best social and civil uses of technology and digital media in education.

Via Ana Cristina Pratas
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Tim Scholze's curator insight, January 3, 2013 10:00 PM

AWESOME post and a very relevant topic. This is a must blog to follow!

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12th International Conference of Sociocybernetics

The 2013 edition of the international RC51 meeting of Sociocybernetics will be held from 24th to 28th June at Centro Cultural Universitario” of the Universidad Autónoma de Yucatán, Mexico.

The conference title is “The sociocybernetics of social systems and social networks”.


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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.

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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, Alejandro J. Alvarez S.
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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 future of ‘Big Data’ is apps, not infrastructure

The future of ‘Big Data’ is apps, not infrastructure | e-Xploration | Scoop.it
Guest Post The current media hype around Big Data has clouded where the real opportunity is: software applications that exploit Big Data.
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CLOUDS an Interactive Documentary exploring creativity through the lens of code

Over the last year we have captured interviews with over 30 new media artists, curators, designers, and critics, using a new 3D cinema format called RGBD. CLOUDS presents a generative portrait of this digital arts community in a videogame-like environment. The artists inhabit a shared space with their code-based creations, allowing you to follow your curiosity through a network of stories.

 

What does it feel like to think with code? How can emerging technologies enable us to actualize our dreams? How has online sharing transformed the way artists collaborate? ...

 

 


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ProfeRed's curator insight, January 5, 2013 11:26 AM

... "What does it feel like to think with code? How can emerging technologies enable us to actualize our dreams? How has online sharing transformed the way artists collaborate?

...

The creative practitioners featured in the documentary represent a new breed of interdisciplinary artists who combine software engineering, audiovisual design, and cultural engagement. CLOUDS explores the themes of creativity, aesthetics, simulation, and sharing articulated by these luminaries in the computational arts community."...

 

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Pierre Lévy on Collective Intelligence Literacy | Digital Delights

Pierre Lévy on Collective Intelligence Literacy | Digital Delights | e-Xploration | Scoop.it
For my book in progress on social media literacies, I talked to Pierre Lévy about his specialty, collective intelligence.

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Understanding Learning Analytics and Student Data

Understanding Learning Analytics and Student Data | e-Xploration | Scoop.it
There's a lot to unpack about learning analytics -- everything from how student data is captured to how it will be used. For all of its promises -- and there ar

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Gianfranco D'Aversa's curator insight, January 6, 2013 12:20 PM

There's a lot to unpack about learning analytics -- everything from how student data is captured to how it will be used. For all of its promises -- and there ar

ChrisPegler's curator insight, January 16, 2013 3:58 AM

'Why is it not widely used yet?'  I think that we may be not yet aware of how complex the data will be when we talk about shifting 21st century learning, For example how can we make sense of MOOCs using learner analytics when there are so many variables, including learner agendas?

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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


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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!
John Symons's comment, January 3, 2013 4:22 PM
You're welcome!
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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).


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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