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Transition from the crisis 3,The Future of Internet: The Weave

Transition from the crisis 3,The Future of Internet: The Weave | e-Xploration | Scoop.it
EU Commissioner Neelie Kroes wrote on December 22: “We must invest in the growth sectors of the future now, to fight the crises. The Internet Sector in Europe grows with 12%/year and has the ...

Via Xaos
luiy's insight:

Living systems according to Parent (1996) are by definition “open self-organizing systems that have the special characteristics of life and interact with their environment. This takes place by means of information and material-energy exchanges. Living systems can be as simple as a single cell or as complex as a supranational organization such as the European Union. Regardless of their complexity, they each depend upon the same essential twenty subsystems (or processes) in order to survive and to continue the propagation of their species or types beyond a single generation”.[4]

Miller said that systems exist at 8 “nested” hierarchical levels: cell, organ, organism, group, organization, community, society, and supranational system. In more detail:


{{The eight levels of living systems are: cells: a basic building block of life organs: the principle components are cells, organized in simple, multi-cellular systems. organisms: there are three kinds of organisms: fungi, plants and animals. Each has distinctive cells, tissues and body plans and carries out life processes differently. groups: these contain two or more organisms and their relationships. organizations: these involve one of more groups with their own control systems for doing work. communities: they include both individual persons and groups, as well as groups which are formed and are responsible for governing or providing services to them. societies: these are loose associations of communities, with systematic relationships between and among them. supranational systems: organizations of societies with a supraordinate system of influence and control}}

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Xaos's curator insight, December 28, 2012 10:26 AM

Problem however is that not many people have a clue what Internet is or if they do   think about different things, like the World Wide Web of Apps & Cloud services. And they have a wide variety of views how “Internet” should be governed. Recently at the ITU world conference on international telecommunications (WCIT-12) in Dubai these different views came to a conflict where a number of member countries refused to sign the treaty. On the one side nation states expressed their sovereign right to regulate ( and if necessary block) internal and external Internet traffic; and on the other side countries who express the view that the Internet is by  design is a transnational structure with a “multi-stakeholder” organisation to run it and further develop it. I subscribe to this latter view and will explain in this blog why and how this can and will be done.

e-Xploration
antropologo.net, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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Oycib ::: Collective Intelligence. "Kaan". Network Visualisation.

Oycib ::: Collective Intelligence. "Kaan". Network Visualisation. | e-Xploration | Scoop.it
luiy's insight:

Beginning with the origins, Oycib means in Mayan language "the place of honey". In this projet, Oycib is an e-Research infrastructure for the Collective Intelligence Analysis.

 

With Oycib infrastructure we propose an analysis model, based in the digital practices and collaboration profiles for the development of Social Learning and the Context Awareness in the Collective Intelligence process.

 

The infrastructure design and the profiles proposed here, are based on historical studies about social organization glyphs in Mayan culture made by Montgomery (2002) and Calvin (2012).

 

Initially we worked with four collaboration profiles: the "Itzaat", the "Pitziil", the "Ayuxul" and the "Sajal" (profiles), but we can find others depending of the organization context. Thus, it's important to mention that each profile is found based on the e-Xploración model and they are the qualitative and quantitative interpretation of the collaborative practices. In this way, we propose methods based on Social Network Analysis for the learning and knowledge management.

 

Thus, the network in Oycib is called "Kaan" (sky or network in Mayan Lenguage). In the "Kaan" we present the visualization of the subjects and objects, such as persons, forums, blogs, files, groups and all the interactions among them. Additionally, each profile and their interactions is presented.

 

... you can interact with "Kaan" here.

 

http://viz.oycib.org/net_all_3/network/index.html

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Ethnography for the Internet | #Anthropology #CyberEthnography

Ethnography for the Internet | #Anthropology #CyberEthnography | e-Xploration | Scoop.it

The internet has become embedded into our daily lives, no longer an esoteric phenomenon, but instead an unremarkable way of carrying out our interactions with one another. Online and offline are interwoven in everyday experience. Using the internet has become accepted as a way of being present in the world, rather than a means of accessing some discrete virtual domain. Ethnographers of these contemporary Internet-infused societies consequently find themselves facing serious methodological dilemmas: where should they go, what should they do there and how can they acquire robust knowledge about what people do in, through and with the internet?

This book presents an overview of the challenges faced by ethnographers who wish to understand activities that involve the internet. Suitable for both new and experienced ethnographers, it explores both methodological principles and practical strategies for coming to terms with the definition of field sites, the connections between online and offline and the changing nature of embodied experience. Examples are drawn from a wide range of settings, including ethnographies of scientific institutions, television, social media and locally based gift-giving networks. - See more at: http://www.bloomsbury.com/uk/ethnography-for-the-internet-9780857855701/#sthash.q1UHC7O1.dpuf

luiy's insight:

1 Introduction
2 The E3 Internet: The Embedded, Embodied, Everyday Internet
3 Ethnographic Strategies for the Embedded, Embodied, Everyday Internet
4 Observing and Experiencing Online/Offline Connections
5 Connective Ethnography in Complex Institutional Landscapes
6 The Internet in Ethnographies of the Everyday
7 Conclusion
References


Index - See more at: http://www.bloomsbury.com/uk/ethnography-for-the-internet-9780857855701/#sthash.q1UHC7O1.dpuf

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#Fractals in D3: Dragon Curves | #dataviz

#Fractals in D3: Dragon Curves | #dataviz | e-Xploration | Scoop.it
luiy's insight:

In this post we're looking at examples of generating some really cool fractals called dragon curves (also referred to as Heighway dragons).  This post is a continuation of the previous one on fractal ferns.  Take a look at that post if you want some basic info on fractals and some links I found useful.  Fractals are a world unto themselves, so there are plenty of interesting things to be investigated in this area.  We are just scratching the surface with these two posts.

 
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Ayotzinapa and Tlatlaya: Geopolitics, occupation of the country and State #Terrorism | #NarcoGovernment #Mexico

Ayotzinapa and Tlatlaya: Geopolitics, occupation of the country and State #Terrorism | #NarcoGovernment #Mexico | e-Xploration | Scoop.it
luiy's insight:

El 30 de junio de 2014, en Tlatlaya, Estado de México el Ejército Mexicano ejecutó a 22 personas. Algunas de ellas presentaban un “tiro de gracia”. Después de la masacre, los militares montaron una escena de un falso enfrentamiento, sembrando armas en los cuerpos abatidos. A pocos kilómetros de Tlatlaya, en Iguala, Guerrero, la noche del 26 y la madrugada del 27 de septiembre, policías municipales ejecutaron un operativo en contra de un grupo de estudiantes de la Normal Rural “Isidro Burgos” de Ayotzinapa, Guerrero. En el operativo asesinaron a tres de normalista, uno de los cuales fue cruelmente desollado. Asesinaron también a otras tres personas (no estudiantes) e hirieron a más de 20, una de las cuales sufrió muerte cerebral. Las fuerzas policiacas detuvieron y secuestraron a 43 estudiantes, quienes, a más de dos meses de los hechos, siguen sin ser presentados.

 

En Ayotzinapa y Tlatlaya se sintetiza la violencia sistemática del Estado hacia la población, la impunidad generalizada y el acumulado de agravios a los derechos de los pueblos. Pero de un modo más profundo ambos casos representan la dimensión de la ocupación neo-colonial de México y los rasgos más crudos de la dictadura cívico-militar y su estado de excepción permanente como único modo para sostenerse.

 
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A Behind-the-Scenes Look at How #Infographics Are Made | #dataviz

A Behind-the-Scenes Look at How #Infographics Are Made | #dataviz | e-Xploration | Scoop.it
It’s been said that we’re living in the golden age of data visualization. And why shouldn’t we be? Every move we make is potential fodder for a bar chart or line graph. Regardless of how you feel about our constant quantification, its been a boon for designers who have made some exceptional infographics—and some not…
luiy's insight:

A new book from graphic guru and School of Visual Arts professor Steven Heller and designer Rick Landers looks at that the process of more than 200 designers, from first sketch to final product. The Infographic Designers Sketchbook is almost exactly what it sounds like. The 350-page tome is essentially a deep dive into the minds of data designers. Heller and Landers have chosen more than 50 designers and asked them to fork over their earliest sketches to give us insights into how they turn a complex set of data into coherent, visually stunning data visualizations. “You see a lot more unbridled, unfettered work when you’re looking at a sketchbook,” says Heller. “You might be looking at a lot of junk, but even that junk tells you something about the artist who is doing it.”

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Disappearances in Mexico: 26, 567 + 43 stories. Mapa #PorTodosLosDesaparecidos #TodosSomosAyotzinapa

Disappearances in Mexico: 26, 567 + 43 stories. Mapa #PorTodosLosDesaparecidos #TodosSomosAyotzinapa | e-Xploration | Scoop.it

Click here to edit the title

luiy's insight:

Mexico is living a hidden war for over eight years ago that has killed over 120,000 people and which have disappeared over 27,000 as a result of violence, many of them innocent.

 

México vive una guerra oculta desde hace 8 años donde han muerto 120 mil personas y han desaparecido más de 27 mil. La mayoría de ellas inocentes

 

However, the Mexican government has hidden these numbers to deny that there is a war and prevent the world know what is happening here: http://www.eluniversal.com.mx/nacion-mexico/2014/osorio-desaparecidos-2014-1012354.html

 

Sin embargo el gobierno mexicano ha ocultado esta cifras para negar que existe esta guerra y así evitar que el mundo se entere, llegando incluso a decir que son solo 8 mil las desapariciones

http://www.eluniversal.com.mx/nacion-mexico/2014/osorio-desaparecidos-2014-1012354.html


Help us to make visible the war that is happening in Mexico - Ayúdanos a hacer visible la guerra que ocurre en Mexico 

 

https://www.indiegogo.com/projects/hagamos-visible-la-guerra-en-mexico-para-detenerla

 

OPENDATA Disappeared people:

https://www.dropbox.com/s/i2upkhuci9wssps/tdes%20por%20edo.csv




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Human data shows how we move in Amsterdam | #dataviz #sensors

Human data shows how we move in Amsterdam | #dataviz #sensors | e-Xploration | Scoop.it
luiy's insight:

Human helps people in Amsterdam move almost twice as much in six weeks. Every day, people track millions of activities with our app. We visualized data in Amsterdam and other major cities across the globe to get an insight into Human activity.

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The state of our union is … dumber: how linguistic standards have declined in the president's address | #ddj

The state of our union is … dumber: how linguistic standards have declined in the president's address | #ddj | e-Xploration | Scoop.it
Using the Flesch-Kincaid readability test the Guardian has tracked the reading level of every State of the Union
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Report: #Bot traffic is up to 61.5% of all website traffic | #scrapers #agents

Report: #Bot traffic is up to 61.5% of all website traffic | #scrapers #agents | e-Xploration | Scoop.it

Bot traffic is up to 61.5% of all website traffic. Who's up, who's down and is Google really winning its war on spam?

luiy's insight:

Research Methodology

 

For the purpose of this report we observed 1.45 Billion visits, which occurred over a 90 day period. The data was collected from a group of 20,000 sites on Incapsula’s network, which consists of clients from all available plans (Free to Enterprise). Geographically, the traffic covers all of the world’s 249 countries, per country codes provided by an ISO 3166-1standard.

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#Complexity in Social Networks | #algorithms #SNA

#Complexity in Social Networks | #algorithms #SNA | e-Xploration | Scoop.it
How network structure impacts consumer experience.
luiy's insight:

In the same way software has “eaten” many industries and continues to devour more, the structure of complex systems is relevant in an increasing number of subjects, from neurobiology to industrial engineering. In the consumer internet, many of the most interesting technology platforms are, at their core, networks. As with most complex systems, small changes can have large consequences, and the structure of a network can materially impact consumer experience, many times changing the core way that people interact with the service.

 

One way to think about these technology platforms is to think of any complex network as having four fundamental components:

 

- Nodes (the objects in the graph, e.g., people, things)

 

- Data/content (the thing being shared between the nodes, e.g., tweet

 

- Edges with rules (e.g., bidirectional “friend”, single-directional “follow”)

 

- Jumping functions, specifically ways to transmit the data/content from one subgroup of people to another on the same platform, usually based on rules surrounding how the edges are structured (e.g., retweeting / liking / favoriting).

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#BIGDATA SOCIETY: Age of Reputation or Age of Discrimination? | #controverses #privacy

#BIGDATA SOCIETY: Age of Reputation or Age of Discrimination? | #controverses #privacy | e-Xploration | Scoop.it
luiy's insight:

Like every technology, Big Data has some side effects. Even if you are not concerned about losing your privacy, you should be worried about one thing: discrimination. A typical application of Big Data is to distinguish different kinds of people: terrorists from normal people, good from bad insurance risks, honest tax payers from those who don't declare all income ... You may ask, isn't that a good thing? Maybe on average it is, but what if you are wrongly classified? Have you checked the information collected by the Internet about your name or gone through the list of pictures google stores about you? Even more scary than how much is known about you is the fact that there is quite some information in between which does not fit. So, what if you are stopped by border control, just because you have a similar name as a criminal suspect? If so, you might have been traumatized for quite some time.

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What's (technically) in your tweets? | #datascience #API #twitter

What's (technically) in your tweets? | #datascience #API #twitter | e-Xploration | Scoop.it
Just because you only see 140 characters doesn't mean that Twitter isn't getting complicated behind the scenes. Here's how status objects are evolving.
luiy's insight:

.. an interesting map of what's going on behind your Twitter stream. As it turns out, there is quite a bit of data associated with not just you as a user, but also with every tweet that you post to the service.

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#Mining the Social Web, 2nd-Edition | #datascience #SNA #tools

#Mining the Social Web, 2nd-Edition | #datascience #SNA #tools | e-Xploration | Scoop.it
Mining-the-Social-Web-2nd-Edition - The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
luiy's insight:

Chapter 0 - Preface

 

Chapter 1 - Mining Twitter: Exploring Trending Topics, Discovering What People Are Talking About, and More

 

Chapter 2 - Mining Facebook: Analyzing Fan Pages, Examining Friendships, and More

 

Chapter 3 - Mining LinkedIn: Faceting Job Titles, Clustering Colleagues, and More

 

Chapter 4 - Mining Google+: Computing Document Similarity, Extracting Collocations, and More

 

Chapter 5 - Mining Web Pages: Using Natural Language Processing to Understand Human Language, Summarize Blog Posts and More

 

Chapter 6 - Mining Mailboxes: Analyzing Who's Talking To Whom About What, How Often, and More

 

Chapter 7 - Mining GitHub: Inspecting Software Collaboration Habits, Building Interest Graphs, and More

 

Chapter 8 - Mining the Semantically Marked-Up Web: Extracting Microformats, Inferencing Over RDF, and More

 

Chapter 9 - Twitter Cookbook

 

Appendix A - Virtual Machine Experience

Appendix B - OAuth Primer

Appendix C - Python & IPython Notebook Tips

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How Diversity Makes Us Smarter | #IntelligenceCollective

How Diversity Makes Us Smarter | #IntelligenceCollective | e-Xploration | Scoop.it
luiy's insight:

Information and Innovation


The key to understanding the positive influence of diversity is the concept of informational diversity. When people are brought together to solve problems in groups, they bring different information, opinions and perspectives. This makes obvious sense when we talk about diversity of disciplinary backgrounds—think again of the interdisciplinary team building a car. The same logic applies to social diversity. People who are different from one another in race, gender and other dimensions bring unique information and experiences to bear on the task at hand. A male and a female engineer might have perspectives as different from one another as an engineer and a physicist—and that is a good thing.

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Your Digital Image: Factors Behind #Demographic and #Psychometric #Predictions from Social Network Profiles | #identity

Your Digital Image: Factors Behind #Demographic and #Psychometric #Predictions from Social Network Profiles |  #identity | e-Xploration | Scoop.it
luiy's insight:

Our system allows users to examine the factors influencing the predictions, so users can determine how “Liking” a certain item changes the predictions regarding their intel ligence, or how changing the number of friends they have affects the predictions regarding their personality. Clearly, these factors are under the control of the user, and users may modify their behavior on Facebook to be perceived in a positive manner. As people can form judgments on others based on their social media profiles [4], this phenomenon is not new. However, we believe an automated tool can allow people to easily determine how others may perceive thembased on their behavior on social networks.

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The Graphic Continuum | #dataviz

The Graphic Continuum | #dataviz | e-Xploration | Scoop.it
[This is a guest post by Jon Schwabish* and Severino Ribecca**, about the informational poster The Graphic Continuum]
 
 
How many different graph types exist? How do they relate to one another?

Via ABoudières
luiy's insight:

How many different graph types exist? How do they relate to one another? Can you use the same graphic type for different types of data? These are the questions that we tried to tackle in our recent project, The Graphic Continuum.

 

Documenting the many chart types is something we were both working on independently for the past couple of years. Severino was building his Data Visualisation Catalogue, an online reference tool of data visualizations. At the same time, I was teaching data visualization to different audiences and was thinking about how to best show my students different graphic types and how they relate to one another.

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Mexico #kidnapping case. Secuestro de 31 niñas y niños de #Cocula y siguen perdidos | via @FRANCE24 #ayotzinapa

Subscribe to France 24 now: http://bit.ly/France24Subscribe The southern Mexican city of Cocula grabbed global headlines after being named by officials as th...
luiy's insight:

Hombres con el rostro cubierto se llevaron el pasado 7 de julio de este año, a plena luz del día, a 31 adolescentes, niños y niñas de Cocula, Guerrero, en supuestos vehículos oficiales y hasta la fecha sus familiares no saben nada de ellos, dijeron testigos del secuestro a la cadena de televisión France 24. En un reportaje publicado este día, el medio francés dio a conocer los hechos registrados meses antes de la ocurrido en Iguala, donde elementos de la Policía Municipal secuestraron y desaparecieron a 43 estudiantes de la Escuela Normal Rural de Ayotzinapa, hecho que ha causado marchas y protestas tanto en México como en la escena internacional.

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Linkedin inMaps discontinued : how to visualize your professional network now? | #SNA via @Linkurious

Linkedin inMaps discontinued : how to visualize your professional network now? | #SNA via @Linkurious | e-Xploration | Scoop.it
How to replace Linkedin inMaps and visualize your professional network with Gephi.
luiy's insight:

One of the cool not-so-known feature of Linkedin was the ability to visualize your professional network. This was provided via inMaps and allowed everyone to get a feel of the communities and influencers in his own network. On August 31 this service will be discontinued but you can still visualize your Linkedin network.

 

 

Collect your data

 

First step first. We need to collect the information about our connections and their relationships. The good news is that Linkedin has a nice API anyone can use. The bad news is that this API only allows us to see our connections and the connections between them. Just like with inMaps, we will not be able to see the individuals we are not connected to.

 

We are going to need to register a new application with Linkedin to be able to use its API. Simply go here and sign in with your account (you do have an account, right?).

 

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Visualizing The Explosive Growth Of The #Robotics Industry | #SNA #dataviz

Visualizing The Explosive Growth Of The #Robotics Industry | #SNA #dataviz | e-Xploration | Scoop.it
Meet the overlords of your new overlords.
luiy's insight:

Over the past several years, a new wave of robot technology has offered us a glimpse at our heavily automated future, featuring drones, telepresence bots, therapeutic robots, and surgery bots that assist (or maybe take over for) doctors. The robotics industry has actually been around for a long time, with numerous companies working on warehouse automation, industrial robotics, and the like since the middle of the last century.

 

But as this interactive visualization from the Boston Consulting Group (BCG) and Quid reveals, the industry is expanding at near-warp speed.

 

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Text Visualization Browser | #dataviz #sna #datascience

Text Visualization Browser | #dataviz #sna #datascience | e-Xploration | Scoop.it
Text Visualization Browser
luiy's insight:
Text Visualization BrowserDeveloped by Kostiantyn Kucher and Andreas KerrenISOVIS group, Linnaeus University, Växjö, SwedenCheck out our IEEE VIS 2014 poster abstract
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DareDo's curator insight, October 30, 6:07 AM

De multiples manières de visualiser des textes...

Sans doute devrions-nous réfléchir à des manières simples d'organiser nos propres textes et nos ressources.

A creuser certainement...

Stephen Dale's curator insight, November 7, 11:23 AM

A Visual Survey of Text Visualization Techniques. Excellent resource.

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#Violence and guns in best-selling #videogames | #dataviz #opendata

#Violence and guns in best-selling #videogames | #dataviz #opendata | e-Xploration | Scoop.it
Research into connections between gun violence and video games to violence in real life has been inconclusive. As the hype for the latest in the Grand Theft Auto series builds up, a Guardian analysis of the top 50 video games sold in 2012 found more than half contain violent content labels, as assigned by an independent video game rating board (ESRB). Overall, one-third have weapons that depict real-life firearms
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The Socialist Origins of #BigData | #Cybersyn #Cybernetics

The Socialist Origins of #BigData | #Cybersyn #Cybernetics | e-Xploration | Scoop.it
Evgeny Morozov on how the ideas behind Project Cybersyn, a futuristic experiment in cybernetics from nineteen-seventies Chile, still shapes technology.
luiy's insight:

The consultant, Stafford Beer, had been brought in by Chile’s top planners to help guide the country down what Salvador Allende, its democratically elected Marxist leader, was calling “the Chilean road to socialism.” Beer was a leading theorist of cybernetics—a discipline born of midcentury efforts to understand the role of communication in controlling social, biological, and technical systems. Chile’s government had a lot to control: Allende, who took office in November of 1970, had swiftly nationalized the country’s key industries, and he promised “worker participation” in the planning process. Beer’s mission was to deliver a hypermodern information system that would make this possible, and so bring socialism into the computer age. The system he devised had a gleaming, sci-fi name: Project Cybersyn.

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Machine Learning #WorkFlow | #datascience #bigdata

Machine Learning #WorkFlow | #datascience #bigdata | e-Xploration | Scoop.it
So far, I am planning to write a serie of posts explaining a basic Machine Learning work-flow (mostly supervised). In this post, my target is to propose the bird-eye view, as I'll dwell into details at the latter posts explaining each of the components in detail. I decide to write this serie due to two reasons; the first reason is self-education -to get all my bits and pieces together after a period of theoretical research and industrial practice- the second is to present a naive guide to beginn

Via ukituki
luiy's insight:

Each box has a color tone from YELLOW to RED. The yellower the box, the more this component relies on Statistics knowledge base. As the box turns into red[gets darker], the component depends more heavily on Machine Learning knowledge base. By saying this, I also imply that, without good statistical understanding, we are not able to construct a convenient machine learning pipeline. As a footnote, this schema is changed by post-modernism of Representation Learning algorithms and I'll touch this at the latter posts.

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Michael Hansmeyer: Building unimaginable shapes | #algorithms #design

luiy's insight:

Inspired by cell division, Michael Hansmeyer writes algorithms that design outrageously fascinating shapes and forms with millions of facets. No person could draft them by hand, but they're buildable -- and they could revolutionize the way we think of architectural form.
Michael Hansmeyer is an architect and programmer who explores the use of algorithms and computation to generate architectural form. Full bio: http://www.ted.com/speakers/michael_h...

 

Why you should listen

Classical architecture is defined by "orders" -- ways to connect a column to a building, to articulate the joining of materials and structural forces. Colloquially, these orders are based on elemental forms: the tree trunk, the plank, the scroll, the leaf. Michael Hansmeyer is adding a new elemental form: the subdivision algorithm. He turns his math and programming skills to making ornate, organic, hyperdetailed columns generated from lines of code and then comped up in cross-sections of cardboard, almost as if they're being 3D printed.

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Le design de la visibilité | by @Karmacoma #socialmedia #identity

Le design de la visibilité | by @Karmacoma #socialmedia #identity | e-Xploration | Scoop.it
renvoie en effet à un ensemble de pratiques hétérogènes : la participation aux débats publics, l’exposition de soi dans des récits intimes, le développement de pratiques amateurs, les bricolages (remix, sample, collage) de produits culturels standardisés, la recherche de signes de distinction, l’affirmation de choix de vie autonome, la quête de réputation, etc.
luiy's insight:

Le processus de subjectivation : l’extériorisation de soi

La première dynamique est celle de l’extériorisation de l’identité des personnes dans des signes, formulation qui recoupe, au moins partiellement, ce qui est souvent qualifié de processus de subjectivation[8]  La notion de subjectivation fait l’objet d’acceptions... [8] . Les interfaces du web 2.0 présentent toutes une entrée individuelle, une fiche de signalement, qui constitue le point de départ de toute navigation. Celle-ci enregistre certaines caractéristiques stables et durables des personnes, mais aussi et surtout des signes d’identité beaucoup plus diffus, mouvants et multiples que les participants déposent dans leurs goûts, leurs amis, leurs activités ou leurs œuvres. Ce que l’on qualifie habituellement de dynamique « expressiviste »[9]  ALLARD et VANDENBERGHE, 2003. [9] renvoie en effet à un ensemble de pratiques hétérogènes : la participation aux débats publics, l’exposition de soi dans des récits intimes, le développement de pratiques amateurs, les bricolages (remix, sample, collage) de produits culturels standardisés, la recherche de signes de distinction, l’affirmation de choix de vie autonome, la quête de réputation, etc.

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Introducing the Living With #Data series | #personalData #algorithms

Introducing the Living With #Data series | #personalData #algorithms | e-Xploration | Scoop.it
A field guide to the data and algorithms that shape our world
luiy's insight:

Literacy before legibility

 

Ads may seem innocuous, and many of us have learned to ignore them. But these ads might be some of the clearest signals we have about where our data flows and how it could be used in other contexts.

 

Each click is an input that goes in one end of the algorithmic black box, and the rest of our online experience comes out the other. Data is making our behaviors, habits and interests more legible to corporations and governments. But most of the time, that data is hidden from us unless we go digging for it. Even then, we have to know how and where to look. And we almost never get to see how the algorithms work, based on whatever parameters, features, weights and preferences engineers design into the system. That’s all proprietary — the secret sauce.

 

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