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Outils : Cartographies interactives des outils TICE

Outils : Cartographies interactives des outils TICE | e-Xploration | Scoop.it
Portail des Technologies Educatives Unit
luiy's insight:
OUTILS

 

Cette rubrique a pour objectif de vous aider à y voir plus clair parmi les multiples outils du paysage des Technologies Educatives : quels sont les différents types d’outils, leurs spécificités, pour quels types d’activité sont-ils appropriés ? etc.

Pour s’adapter au mieux à vos besoins, cette rubrique vous propose trois approches différentes :

 

Cartographies

 

Pour vous permettre de trouver l’outil dont vous avez besoin en fonction de vos pratiques pédagogiques, cette partie présente une sélection d’outils, accessibles via trois cartographies interactives basées respectivement sur :

les catégories techniques,les activités pédagogiques,les situations pédagogiques.

Vous y trouverez des fiches descriptives des outils ou familles d’outils incluant les applications pédagogiques possibles, des avis d’utilisateurs, des informations techniques, des liens vers le téléchargement des logiciels, des listes d’outils comparables sélectionnées pour leur utilisation dans l’enseignement supérieur.

Répertoire

Cette partie vous propose d’accéder à notre sélection d’outils via un répertoire, classé par ordre alphabétique, recensant outils et familles d’outils.

Vous y retrouverez les fiches descriptives des outils ou familles d’outils incluant les applications pédagogiques possibles, des avis d’utilisateurs, des informations techniques, des liens vers le téléchargement des logiciels, des listes d’outils comparables sélectionnés pour leur utilisation dans l’enseignement supérieur.

Webographie
Pour compléter notre approche, vous trouverez dans cette partie une sélection de sites offrant, à l’instar de ce portail, des descriptions d’outils TICE liées à une démarche structurée et argumentée.
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Bitcoin Explained

A short video looking at 'Bitcoin', a decentralized digital currency.

Directed, Designed and Animated by Duncan Elms - duncanelms.com

Written and Voiced by Marc Fennell - marcfennell.com


Via Szabolcs Kósa
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Szabolcs Kósa's curator insight, April 9, 2013 3:01 PM

the price you have to pay for 1 bitcoin is 234 USD at this moment (2013.04.10), up from 184 in 24 hours. check the current price on : https://mtgox.com/

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Why Living in the Present Is a Disorder | Wired Opinion | Wired.com

Why Living in the Present Is a Disorder | Wired Opinion | Wired.com | e-Xploration | Scoop.it
We’re living in the now, we no longer have a sense of future direction, and we have a completely new relationship to time. In this Wired Q&A between author of Present Shock Rushkoff and former editor in chief of cyberpunk magazine Mondo 2000 R.U.

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We’re living in the now, we no longer have a sense of future direction, and we have a completely new relationship to time. That’s the premise of Douglas Rushkoff’s latest book Present Shock: When Everything Happens Now, a sort-of update to Alvin Toffler’s influential Future Shock from decades ago.

I met Rushkoff back when I was editor of the cyberpunk magazine Mondo 2000, when he was working on his first book about digital culture. But the original publishers canceled that book, thinking the internet was a fad and would be over by the time it hit stands. And even when it was finally published, its potential readership was still limited.

The internet is still with us (to put it mildly) … so Rushkoff’s latest book is for everybody. Throughout the intervening years, Rushkoff and I have been in a dialogue about technology, culture, and the future that, in some ways, has never really stopped. So here we are, continuing that conversation; only now, the challenge we’re discussing is “presentism” — What happens when the future is here, now?

R.U. Sirius: You describe five symptoms — pathologies, really — of “presentist” culture. One of these is “narrative collapse.” Can you explain it for those who haven’t read the book?

Douglas Rushkoff: Narrative Collapse is what happens when we no longer have time in which to tell a story.


Via Wildcat2030
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Martingale et journalisme scientifique

Martingale et journalisme scientifique | e-Xploration | Scoop.it
Posted in: "hyporadar" via Martin in Google Reader
Être journaliste scientifique ne doit pas être facile. J’imagine qu’il faut être à l’écoute des nouvelles scientifiques, et d’informer, aussi justement que possible.

Via Goulu, Andrea Naranjo
luiy's insight:

Être journaliste scientifique ne doit pas être facile. J’imagine qu’il faut être à l’écoute des nouvelles scientifiques, et d’informer, aussi justement que possible. C’est ce que fait avec brio Pierre Barthélémy (aka@PasseurSciences sur Twitter) dans sa chronique hebdomadaire sélection scientifique de la semaine. Il essaye ainsi de parler de sciences dans un journal qui a (trop) souvent confondu science et technologie (technologie étant aussi souvent un mot savant utilisé pour masquer de la publicité pour des appareils technologiques avancés). Et comme l’espace qui lui est imparti est restreint (c’est le moins qu’on puisse dire), la plupart des informations passent par son blog http://passeurdesciences.blog.lemonde.fr/, qui est riche ! Sylvestre Huet fait aussi ce travail pour Libération, avec son blog http://sciences.blogs.liberation.fr/(là; encore, on peut lire bien plus de choses en ligne que que dans la version papier, ce qui est d’autant plus intéressant pour les lecteurs de l’autre coté de l’océan atlantique). Sylvestre Huet arrive à parler géologie, puis démographie, avant d’évoquer dans un article truffé de références les réformes des instances qui régentent la recherche en France. Oui, les deux blogs sont malgré tout très français. Pour une vision plus internationale, on pourra citer l’admirable travail de Pascal Lapointe, par exemple (aka @paslap) surhttp://sciencepresse.qc.ca/.

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Theatrics - Collaborative Video Storytelling Platform

Theatrics - Collaborative Video Storytelling Platform | e-Xploration | Scoop.it
Theatrics.com, LLC is an interactive entertainment company offering a collaborative video storytelling platform that enables brands and storytellers to incorporate and manage user generated video content.

Via Transmedia Ready
luiy's insight:
Watching a Show

Anyone can view any public show on the Theatrics platform -- all videos, blog posts, profile pages, and persona pages are visible. You can also comment on videos.

Creating an Account

It only takes a few minutes to create your own Theatrics account by signing up with either your email address or Facebook account. You’ll add basic information to share on the site, as well as a photo for your public profile and a screen name that will be used to identify you throughout the site.

Participating in a Show

To become a participant in a show you must create an account; then just click on the Participate button on any show. You’ll then be able to create a persona for that show; it is within a persona that you can upload your own video performances, create blog posts, or engage with other users.

Creating a Show

Anyone with a Theatrics account can create their own interactive story or show. Just click on the "Create a Show" button within the Theatrics Dashboard. This brings up the Theatrics Show Creation Wizard, which walks you through the process step-by-step.

Using the Show Creation Wizard

The Theatrics Show Creation Wizard guides you through the process of creating a new interactive show with five easy steps.

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Offshore leaks - Wikipedia, the free encyclopedia

Offshore leaks is the name of a financial scandal that unmasked details of 130,000 offshore accounts in April 2013. Some observers have called it the biggest hit against international tax fraud of all times, although it has been pointed out that normal businesses may use the offshore legislation to ease formalities in international trade.[1][2] The report uncovered the offshore assets of people from 170 countries and territories.[2] It is estimated that 21 to 31 trillion dollars are hidden in offshore localities which corresponds to the economies of the USA and Japan combined. 86 journalists from 46 countries were a part of the investigations including the BBC, The Guardian, the Washington Post, Le Monde, the SonntagsZeitung and the Süddeutsche Zeitung.[3]

Imee Marcos, daughter of the former Philippine president Ferdinand Edralin Marcos, is on the list. Philippine authorities are investigating if the money is part of the 5 billion dollars with which Marcos fled from the country in the 1980s.[2]

Peer Steinbrück has called for harsh penalties for the banks involved in the scandal, up to the revoking of banking licenses.[4]

luiy's insight:

Offshore leaks is the name of a financial scandal that unmasked details of 130,000 offshore accounts in April 2013. Some observers have called it the biggest hit against international tax fraud of all times, although it has been pointed out that normal businesses may use the offshore legislation to ease formalities in international trade.[1][2] The report uncovered the offshore assets of people from 170 countries and territories.[2] It is estimated that 21 to 31 trillion dollars are hidden in offshore localities which corresponds to the economies of the USA and Japan combined. 86 journalists from 46 countries were a part of the investigations including the BBC, The Guardian, the Washington Post, Le Monde, theSonntagsZeitung and the Süddeutsche Zeitung.[3]

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La Ingeniería del Conocimiento en la Sociedad del Conocimiento

El conocimiento es considerado el recurso más significativo dentro de la sociedad actual, frecuentemente denominada sociedad del conocimiento. La importancia no radica en el conocimiento en sí, sino en la aplicación de éste en las organizaciones para crear ventaja competitiva, innovando y aumentando la productividad.


Via A Petapouca, Pierre Levy
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Contre les trolls de brevet, les autorités américaines sont invitées à agir

Contre les trolls de brevet, les autorités américaines sont invitées à agir | e-Xploration | Scoop.it

L'EFF veut mettre les trolls en cage. Mais pas n'importe lesquels. L'organisation cible tout particulièrement les trolls de brevet (patent trolls), qui s'attaquent aux startups et aux PME pour leur extorquer de l'argent en les menaçant de les poursuivre en justice au nom de leur supposée propriété industrielle bafouée. L'EFF réclame l'intervention de la FTC.


Via Pierre Breese, Lockall
luiy's insight:

Selon ses estimations, les plaintes américaines impliquant des brevets sont dominés (61 %) par les trolls. En 2007, les trolls représentaient 27 % des actions en justice. En 2011, 45 %. Un cinquième des startups levant entre 20 et 50 millions de dollars a déjà eu à faire avec un troll des brevets. Entre 50 et 100 millions de dollars, c'est 35 % des startups qui sont concernées.

 

Loin de se résorber, le problème s'aggrave, au risque de freiner l'innovation, de contribuer à la crise économique et financière, tandis que la qualité des vérifications des demandes réalisée par les bureaux comme l'USPTO aux États-Unis, l'Office Européen des Brevets ou l'institut national de la propriété industrielle en France diminue au moment où celles-ci explosent.

 

Cependant des initiatives comme la vérification collaborative ont émergé au Royaume-Uni et aux USA, tandis que certaines firmes, comme Google par exemple, réclame une réforme du droit des brevets. Il faut également noter la mobilisation de l'Electronic Frontier Foundation (EFF). L'ONG demande à la commission fédérale américaine (FTC)de prendre des mesures pour faire cesser ces pratiques.

 

"Nous invitons urgemment la FTC à produire un rapport détaillé sur les trolls de brevet et le coût qu'ils imposent à l'économie. [...] Les trolls coûtent des milliards de dollars chaque année et représentent un fardeau particulièrement lourd sur les startups. Les trolls de brevet les ciblent parce qu'ils savent que ce sont des petites structures manquant de ressources pour contre-attaquer".

 

"Nous pressons également la FTC d'utiliser ses pouvoirs d'investigation et d'application de la loi contre les trolls de brevet les plus zélés, en particulier ceux qui utilisent des plaintes sans fondement pour extorquer des accords à l'amiable. Parce que ces coquilles vides ne font rien elles-mêmes, elles n'ont généralement rien à perdre. Cela leur donne une occasion unique d'abuser du système [...]".

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The Structure and Dynamics of International Development Assistance

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Datameer Workgroup Data Visualization - Business Infographics

Datameer Workgroup Data Visualization - Business Infographics | e-Xploration | Scoop.it
Visualize any data with Datameer
luiy's insight:
Visualize data for your team

Datameer’s extensive library of widgets includes tables, graphs, charts, diagrams, maps, and tag clouds which enables users to create simple dashboards or beautiful visualizations. The end result, data visualizations that communicate data.

Beyond static business intelligence dashboards. Get started today and share your data visually on any device.

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How researchers are fighting lung cancer using PageRank #sna

How researchers are fighting lung cancer using PageRank #sna | e-Xploration | Scoop.it

Medical researchers are using a mathematical process similar to Google PageRank in order to identify organs most likely to spread lung cancer throughout the human body.


Via ukituki
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ukituki's curator insight, April 6, 2013 12:17 PM
Article highlights many applications of graph theory and graph database
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Estimated Follower Accession Charts for Twitter

Estimated Follower Accession Charts for Twitter | e-Xploration | Scoop.it
The idea is that we provide each entrant into a conversation or group with an accession number: the first person has accession number 1, the second person accession number 2 and so on. The accession number is plotted in rank order on the vertical y-axis, with ranked/time ordered “events” along the horizontal x-axis: utterances in a conversation for example, or posts to a forum

 


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Tableau Software in $150 Million IPO Filing, BigData Visualization ...

Tableau Software in $150 Million IPO Filing, BigData Visualization ... | e-Xploration | Scoop.it
Data Visualization – it's one of the unsung heroes in the Big Data picture, but that appears to be changing. Seattle-based data visualization company Tableau Software filed its IPO statement with the U.S.
luiy's insight:

This attention to performance and features was accentuated by the company’s latest product release, Tableau 8.0. The product remains true to enterprise capabilities and adds a few new ones including real-time processing for multiple data points, the ability to query Google BigTable data sets, and a direct connection into Google Analytics. The release is not without critics however as blogger Stephen Few shared his take on the release.

Tableau has a special place in my heart. Not long after starting Perceptual Edge, I discovered Tableau in its original release and wrote the first independent review of Tableau 1. I was thrilled, for in Tableau I found a BI software company that shared my vision of visual data exploration and analysis done well. Since then I’ve used Tableau, along with Spotfire, Panopticon, and SAS JMP, to illustrate good data visualization functionality in my courses and lectures. Until recently, I assumed that Tableau, of all these vendors, would be the one mostly likely to continue its tenacious commitment to best practices. However, what I’ve seen in Tableau 8, due to be released soon, has broken my heart. Tableau is now introducing visualizations that are analytically impoverished. Tableau’s vision has become blurred.

One thing for sure, Tableau is evolving and as Kristen Nicole noted there’s a lot of adoption taking place and some are looking at this as the “new BI”.

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Laboratórios SAPO @ SAPO Campus

Laboratórios SAPO @ SAPO Campus | e-Xploration | Scoop.it
A sua instituição online! Todas as suas experiências, diálogos, comunicações, e recursos num só local (Vídeos, Partilha de Ficheiros, Fotos, Blogs, Comentários, Estados, Mensagens, e muito mais).

Via Rui Guimarães Lima
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Can an #algorithm write a better news story than a human reporter?

Can an #algorithm write a better news story than a human reporter? | e-Xploration | Scoop.it
Every 30 seconds or so, an algorithm developed by Narrative Science produces a computer-written news story, Wired reports. The articles run on the websites

Via Pierre Levy, juandoming
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Pierre Levy's curator insight, April 8, 2013 9:21 AM

For Narrative Science’s CTO and cofounder, Kristian Hammond, these stories are only the first step toward what will eventually become a news universe dominated by computer-generated stories. How dominant? “More than 90 percent,” says Hammond.

Pierre Levy's comment, April 8, 2013 9:22 AM
Not an endorsement. Think by yourself!
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Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis

In this chapter review measures of emergence, self-organization, complexity, homeostasis, and autopoiesis based on information theory. These measures are derived from proposed axioms and tested in two case studies: random Boolean networks and an Arctic lake ecosystem.
Emergence is defined as the information produced by a system or process. Self-organization is defined as the opposite of emergence, while complexity is defined as the balance between emergence and self-organization. Homeostasis reflects the stability of a system. Autopoiesis is defined as the ratio between the complexity of a system and the complexity of its environment. The proposed measures can be applied at multiple scales, which can be studied with multi-scale profiles.

 

Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis

Nelson Fernandez, Carlos Maldonado, Carlos Gershenson

http://arxiv.org/abs/1304.1842


Via Complexity Digest
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Socius Ars's curator insight, April 10, 2013 9:19 AM

add your insight...

 

 
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#datavis : Crossfilter. #infovis

#datavis : Crossfilter. #infovis | e-Xploration | Scoop.it
luiy's insight:
CrossfilterFast Multidimensional Filtering for Coordinated Views

Crossfilter is a JavaScript library for exploring large multivariate datasets in the browser. Crossfilter supports extremely fast (<30ms) interaction with coordinated views, even with datasets containing a million or more records; we built it to power analytics for Square Register, allowing merchants to slice and dice their payment history fluidly.

Since most interactions only involve a single dimension, and then only small adjustments are made to the filter values, incremental filtering and reducing is significantly faster than starting from scratch. Crossfilter uses sorted indexes (and a few bit-twiddling hacks) to make this possible, dramatically increasing the perfor­mance of live histograms and top-Klists. For more details on how Crossfilter works, see the API reference.

Example: Airline on-time performance

The coordinated visualizations below (built with D3) show nearly a quarter-million flights from early 2001: part of the ASA Data Expo dataset. The dataset is 5.3MB, so it might take a few seconds to download. Click and drag on any chart to filter by the associated dimension. The table beneath shows the eighty most recent flights that match the current filters; these are the details on demand, anecdotal evidence you can use to weigh different hypotheses.

Some questions to consider: How does time-of-day correlate with arrival delay? Arelonger or shorter flights more likely to arrive early? What happened on January 12? How do flight patterns differ between weekends and weekdays, or mornings and nights? Fork this example and try your own data!

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A Practical Intro to Data Science

A Practical Intro to Data Science | e-Xploration | Scoop.it

There are plenty of articles and discussions on the web about what data science is, what qualities define a data scientist, how to nurture them, and how you should position yourself to be a competitive applicant. There are far fewer resources out there about the steps to take in order to obtain the skills necessary to practice this elusive discipline. Here we will provide a collection of freely accessible materials and content to jumpstart your understanding of the theory and tools of Data Science.

 

luiy's insight:

While the information contained in these resources is a great guide and reference, the best way to become a data scientist is to make, create, and share!

ENVIRONMENT

While the emerging field of data science is not tied to any specific tools, there are certain languages and frameworks that have become the bread and butter for those working in the field. We recommend Python as the programming language of choice for aspiring data scientists due to its general purpose applicability, a gentle (or firm) learning curve, and — perhaps the most compelling reason — the rich ecosystem of resourcesand libraries actively used by the scientific community.

DEVELOPMENT

When learning a new language in a new domain, it helps immensely to have an interactive environment to explore and to receive immediate feedback.IPython provides an interactive REPL which also allows you to integrate a wide variety of frameworks (including R) into your Python programs.

STATISTICS

It is often said that a data scientist is someone who is better at software engineering than a statistician and better at statistics than any software engineer. As such, statistical inference underpins much of the theory behind data analysis and a solid foundation of statistical methods and probability serves as a stepping stone into the world of data science.

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jesse roy santos's curator insight, April 17, 2013 5:18 PM

data's is an important information.

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Fake Twitter Followers Become Multimillion-Dollar Business

Fake Twitter Followers Become Multimillion-Dollar Business | e-Xploration | Scoop.it
Far from slowing, the market for fake Twitter followers seems to be taking off. Despite efforts by Twitter to check for fake accounts, the underground market is becoming more sophisticated.
luiy's insight:

Far from slowing, the market for fake Twitter followers seems to be taking off.

 

The fake Twitter follower phenomenon made headlines last summer after Mitt Romney’s Twitter following jumped by 100,000 in a matter of days. That news inspired a number of social media management companies like StatusPeople and SocialBakers to develop Web tools that try to determine what percent of a person’s Twitter followings are fake.

 

But those sites have hardly deterred people from dealing in the market for fake followers and fake retweets. The market is also becoming more sophisticated. In many cases, high-quality false  Twitter accounts are nearly impossible to discern from the real thing. Those that sell them claim that they can make up to a million dollars in one week.

 

Andrea Stroppa and Carlo De Micheli, two Italian security researchers, spent the last several months investigating the underground economy for Twitter followers and said they had found a thriving market.

 

There are now more than two dozen services that sell fake Twitter accounts, but Mr. Stroppa and Mr. De Micheli said they limited themselves to the most popular networks, forums and Web sites, which include Fiverr, SeoClerks, InterTwitter, FanMeNow, LikedSocial, SocialPresence and Viral Media Boost. Based on the number of accounts for sale through those services — and eliminating overlapping accounts — they estimate that there are now as many as 20 million fake follower accounts....

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Twitter and the Social Unconscious: how tweets and blogs go far beyond the individual

Twitter and the Social Unconscious: how tweets and blogs go far beyond the individual | e-Xploration | Scoop.it
What does twitter tell us about our social unconscious? Studies are just beginning to scratch the surface of the meaning behind the cacophony of noise we humans put online, but what might be the meaning behind this collective activity?

Via Aaron Balick
luiy's insight:

The coolest I’ve found yet (thanks to David Patman) has been the We Feel Fine project defined as “an exploration of human emotion, in six movements. This project searches weblogs across the world for words associated with the statements “I feel” and “I am feeling” and records the feeling associated with that statement”. To quote from their website:

The result is a database of several million human feelings, increasing by 15,000 – 20,000 new feelings per day. Using a series of playful interfaces, the feelings can be searched and sorted across a number of demographic slices, offering responses to specific questions like: do Europeans feel sad more often than Americans? Do women feel fat more often than men? Does rainy weather affect how we feel? What are the most representative feelings of female New Yorkers in their 20s? What do people feel about right now in Baghdad? What were people feeling on Valentines’ Day? Which are the happiest cities in the world? The saddest? And so on.

There is a stunning graphic in which you can see, in real time, groupings and clusterings of feelings as they occur. Interestingly, you can filter your searches by feeling, gender, age, weather, location or date, and then view your search in a variety of visually interesting ways.

When I looked at it at 8:55 on Tuesday morning the 3rd of July I could see that in Britain the dominant feeling was “better” (circa 130,000 people) followed by “bad” (93,000 then) “good” (77,000). By clicking on individual nodes, you can even gain access to the original text. By doing this, you can get a great deal of detail about the context, as well as the feeling tone. The creators Jonathan Harris and Sep Kamvar should be highly commended for this work.

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Hackers, le livre

Hackers, le livre | e-Xploration | Scoop.it

Via Transmedia Ready
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Big Data's Promise and Limitations

Big Data's Promise and Limitations | e-Xploration | Scoop.it

Five years ago, few people had heard the phrase “Big Data.” Now, it’s hard to go an hour without seeing it.


Via AnalyticsInnovations
luiy's insight:

Five years ago, few people had heard the phrase “Big Data.” Now, it’s hard to go an hour without seeing it. In the past several months, the industry has been mentioned in dozens of New York Times stories, in every section from metro to business. (Wired has even already declared it passé: “STOP HYPING BIG DATA AND START PAYING ATTENTION TO ‘LONG DATA’.”) At least one corporation, the business-analytics firm SAS, has a Vice-President of Big Data. Meanwhile, nobody seems quite sure exactly what the phrase means, beyond a general impression of the storage and analysis of unfathomable amounts of information, but we are assured, over and over, that it’s going to be big. Last summer, Jon Kleinberg, a computer scientist at Cornell, said in the Times that “The term itself is vague, but it is getting at something that is real… Big Data is a tagline for a process that has the potential to transform everything.”

Most of what’s written about Big Data is enthusiastic, like Kenneth Cukier and Viktor Mayer-Schonberger’s gushing ode “Big Data: A Revolution That Will Transform How We Live, Work, and Think,” which is currently selling briskly on Amazon, or the recent Times article on Mayor Bloomberg’s geek squad, and how “Big Data’s moment, especially in the management of cities, has powerfully and irreversibly arrived.” But despite the sense of excitement and promise surrounding the industry, Big Data isn’t nearly the boundless miracle that many people seem to think it is.



Read more: http://www.newyorker.com/online/blogs/elements/2013/04/steamrolled-by-big-data.html#ixzz2PnTf1taH

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The Psychology of an Internet Troll | Visual.ly

The Psychology of an Internet Troll | Visual.ly | e-Xploration | Scoop.it
This infographic provides a deeper look into the psychology of internet trolls.
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Iramuteq — IRaMuTeQ

Iramuteq — IRaMuTeQ | e-Xploration | Scoop.it
Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires.
Un logiciel libre construit avec des logiciels libres.

Via emma_morlock
luiy's insight:
PrésentationIramuteq est un logiciel libre distribué sous les termes de la licence GNU GPL (v2).Il permet de faire des analyses statistiques sur des corpus texte et sur des tableaux individus/caractères.Il repose sur le logiciel R (www.r-project.org) et le langage python (www.python.org)Analyses sur des corpus texteIramuteq reproduit la méthode de classification décrite par Reinert (1983, 1991) (Classification Hiérarchique Descendante sur un tableau croisant les formes pleines et des segments de texte);Recherche de spécificité à partir de segmentation définie;Statistiques textuelles classiques;Analyse de similitude sur les formes pleines d'un corpus découpé en segments de texte;Consultez la documentation pour connaître toutes les analyses disponibles dans Iramuteq.Analyses sur des tableaux individus / caractèresClassification Hiérarchique Descendante avec l'algorithme décrit par Reinert (1983) ;Classification Hiérarchique Descendante par matrice des distances;Analyse de similitude;Description et chi2;
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Rescooped by luiy from Cooperation Theory & Practice
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The Emergence of Niceness | Synthesis

The Emergence of Niceness | Synthesis | e-Xploration | Scoop.it

"“People in our model do not behave irrationally,” explains Grund, but while the “homo economicus” optimizes its utility independently, the “homo socialis” puts himself or herself into the shoes of others to consider their interests as well.” Helbing adds: “This establishes something like “networked minds”. Everyone’s decisions depend on the preferences of others.” This becomes even more important in our networked world."


Via Howard Rheingold
luiy's insight:

A participatory kind of economy


How will this change our economy? Today, many customers doubt that they get the best service by people who are driven by their own profits and bonuses. “Our theory predicts that the level of other-regarding preferences is distributed broadly, from selfish to altruistic. Academic education in economics has largely promoted the selfish type. Perhaps, our economic thinking needs to fundamentally change, and our economy should be run by different kinds of people,” suggests Grund. “The true capitalist has other-regarding preferences,” adds Helbing, “as the “homo socialis” earns much more payoff.” This is, because the “homo socialis” manages to overcome the downwards spiral that tends to drive the “homo economicus” towards tragedies of the commons. The breakdown of trust and cooperation in the financial markets back in 2008 might be a good example.

 

“Social media will promote a new kind of participatory economy, in which competition goes hand in hand with cooperation,” believes Helbing. Indeed, the digital economy’s paradigm of the “prosumer” states that the Internet, social platforms, 3D printers and other developments will enable the co-producing consumer. “It will be hard to tell who is consumer and who is producer”, says Christian Waloszek. “You might be both at the same time, and this creates a much more cooperative perspective.”

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Howard Rheingold's curator insight, April 6, 2013 1:28 AM

The woman in the picture is the late Elinor Ostrom, whose research is cited, but who did not contribute to the evolutionary modeling research that provides evidence for mechanisms whereby cooperative behavior can spread in socieities dominated by selfishness. Sociality is the key -- pewople who get to know each other can be stimulated by ordinarily disadvantaged cooperative actors into mutual cooperation, which then becomes self-reinforcing through mutual payoffs. The social web is certainly a hotbed of ill-will. It is also an environment in which those who are inclined to cooperate -- people with diseases or caregivers, gamers, makers, educators, and just friendly, civil people -- can find each other and cluster. It is that clustering that promotes payoffs and spreads cooperation, and which online social networks can promote.