e-Xploration
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e-Xploration
antropologiaNet, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
Curated by luiy
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MIT and Harvard release de-identified learning data from #MOOCs | #LearningAnalytics

MIT and Harvard release de-identified learning data from #MOOCs | #LearningAnalytics | e-Xploration | Scoop.it
Dataset contains the original learning data from the 16 HarvardX and MITx courses offered in 2012-13.
luiy's insight:

Ho and Chuang anticipate that the data will offer insight to other educational researchers. Moreover, the methods used to protect learner privacy comply with FERPA (Federal Education Rights and Privacy Act) regulations, which govern the release of such data. The practice should inform the release of future datasets from edX and offer lessons more broadly.

 

“Learning data from open online courses hold great promise for research, but good research must be replicable by others,” says Ho, an associate professor at the Harvard Graduate School of Education and co-chair of the HarvardX Research Committee. “By sharing these de-identified data, we hope to show that we can protect information about individuals while still enabling replicable research about what works in online learning.”

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Vintage Data Visualization: 35 examples from before the Digital Era | #dataviz #history

Vintage Data Visualization: 35 examples from before the Digital Era | #dataviz #history | e-Xploration | Scoop.it

Graphics, charts, diagrams and visual data representations have been published on books, newspapers and magazines since they've existed, not to mention old maps and scientific illustrations...

 

Despite the lack of tools such as the ones we have at our disposal nowadays, they are as inspiring and important as the best contemporary visualizations. Visit the article link for a gallery of vintage visualizations...


Via Lauren Moss, Jim Lerman
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Mariana Soffer's comment, July 20, 2013 9:39 AM
my pleasure
Charlley Luz's curator insight, July 20, 2013 10:26 AM

muito legal, os Infográficos antes de existir a internet. 35 exemplos de infográficos no papel :) Achei falta do Marcha para Moscou do Minard http://www.datavis.ca/gallery/re-minard.php ;

Leoncio Lopez-Ocon's curator insight, July 20, 2013 2:57 PM

El brasileño Tiago Veloso, fundador de Visual Loop, nos ofrece 35 interesantísimas representaciones visuales de distintos fenómenos y eventos que permiten hacer un paseo por la historia de la ilustración científica.

Rescooped by luiy from Data is big
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Big Data [sorry] & Data Science: What Does a Data Scientist Do?

What 'kind of things' does a data scientist do? What are the foundations and principles of data science? What is a Data Product? What does the data science proc

Via ukituki
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L’usage des outils informatiques en analyse des données qualitatives - [Adjectif]

L’usage des outils informatiques en analyse des données qualitatives - [Adjectif] | e-Xploration | Scoop.it
La Recherche Qualitative constitue un type de recherche en pleine évolution et elle a été métamorphosée par les technologies informatiques.

Via Pierre Levy
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Pierre Levy's curator insight, March 11, 2013 2:57 PM

Le terme d’Analyse Qualitative désigne tout processus technique ou intellectuel pour traiter, manipuler, explorer et interpréter des données issues d’une Recherche Qualitative dans le but d’identifier des séquences, repérer des modèles, comprendre des processus, former des catégorisations ou des classes d’objets et émettre des hypothèses et des conjectures concernant les aspects (sujets, objets ou événements) du monde en question. L’analyse des données qualitatives est souvent plus intuitive et moins systématique que lorsqu’il s’agit de données quantitatives. Le problème de l’analyse des données qui proviennent de la recherche qualitative constitue un de plus cruciaux points de cette approche. À la différence de la recherche quantitative, la recherche qualitative ne suit pas l’approche scientifique basée sur la méthode hypothético-déductive.

nihal abitiu's curator insight, October 27, 2013 6:45 PM

très interessante pour les  doctorantsen science de l'éducation. merci pour le partage.

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A Visualization of Global “Brain Drain” in Science Inspired by Abstract Art

A Visualization of Global “Brain Drain” in Science Inspired by Abstract Art | e-Xploration | Scoop.it

Mapping the global flow of scientific talent by way of Mondrian and Kandinsky.


After their wonderful visual timeline of the future based on famous fiction and visual history of the Nobel Prize, Italian information visualization designer Giorgia Lupi and her team at Accurat are back with another exclusive English version of a piece originally designed for La Lettura, the Sunday literary supplement of an Italian newspaper— this time exploring the phenomenon of global “brain drain” in science, with an eye towards understanding the reasons why researchers might choose to leave their countries of origin and pursue careers elsewhere.


Via Lauren Moss
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Storytelling: The Next Step for Visualization

Storytelling: The Next Step for Visualization | e-Xploration | Scoop.it

Via Karen Dietz
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Karen Dietz's curator insight, February 6, 2013 4:48 PM

Here's the next stop on the data and visual storytelling journey. While the previous article I curated focused on the history of visual storytelling, this research article addresses 'what's next.'


For the authors of the article -- what's next is the presentation and communication of data that has played only a minor role in research up to this point.


Click on the title of the article "Storytelling: The Next Step for Visualization" at the bottom of the blurb to get a free copy of the research paper. 


The research paper itself focuses on journalism as storytelling -- which it is, but it is not the only method or approach. So the article is limiting in that way. 


Still, there are some good insights about how data visualization needs to move more directly into storytelling using story delivery techniques.


Iin the end, the authors Robert Kosara and Jock Mackinlay say: 

"Storytelling promises to open up entirely new avenues of research in visualization. Going from exploration to analysis to presentation is a natural progression, which is mirrored by the research effort focused on these steps over time. As the field becomes more mature and provides many useful techniques for the first two steps, we need to start focusing on presentation. This is even more important as visualization gets used for decision-making, where the succinct presentation of important facts is crucial."


This review was written by Karen Dietz for her curated content on business storytelling at www.scoop.it/t/just-story-it

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The Human Algorithm: Redefining the Value of Data - Brian Solis

The Human Algorithm: Redefining the Value of Data - Brian Solis | e-Xploration | Scoop.it

Via Pierre Levy
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Yolande Villemaire's curator insight, January 2, 2013 10:42 PM

SoLoMo: social, local, mobile data and the Human Algorithm.

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8 Web #Tools for Finding and Creating Data Visualizations | #dataviz #cartography

8 Web #Tools for Finding and Creating Data Visualizations | #dataviz #cartography | e-Xploration | Scoop.it
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Professor Gunnar Carlsson Introduces Topological Data Analysis | #TDA #dataviz

An Introduction to Topological Data Analysis by Ayasdi's Gunnar Carlsson
luiy's insight:

Data ---> structures, representations and forms analysis

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Industrializing Personal Data Production (First Monday)


Via Pierre Levy
luiy's insight:

Free trade and free speech: the Internet ideal

Facebook text didn’t just arrive on our screens; rather, it echoes key discourses embedded in abstractions offered by other monopoly new media dominating our desktops. It developed, built upon and extended a set of pre–existing structures hardcoded in online globally consumed interfaces, referred to here as “the Web’s commercial interface” (Patelis, 2010). The Web’s commercial interface, of which Facebook is now an integral part, lies at centre stage of the online of experience of a majority of users in the West. Its properties cannot be exhausted within the confines of this paper.

Instead we wish to focus on a key component crucial to Facebook: the integration of commerce and communication. The Internet mediates the integration of commerce and communication, unifying and demanding the synchronous development and integration of very dissimilar services and by extension objects. In other words, at the heart of text offered by monopoly new media software, lies the liberal ideal according to which commerce and communication can and should be integrated online, the idea that free speech and free trade are two sides of the same coin and that, by extension, online commerce and online communication are complementary ideals in the democratic capitalist ideal. In representational terms, such integration is so naturalised that a kilo of potatoes for sale and an opinion on paedophilia are literally represented as similar objects across outlets. To quote Bill Gates from 1996:

 

“Capitalism, demonstrably the greatest of the constructed economic systems, has in the past decade clearly proved its advantages over the alternative systems, As the Internet evolves into its broadband, global interactive network, those advantages will be magnified. Product and service providers will see what buyers want a lot more efficiently than ever before and consumers will buy more efficiently. I think Adam Smith would be pleased.” [2]

 

We argue that Facebook has been central to the further restructuring and commodification of the media industry around this ideal by establishing further integration of commerce and communication in two ways. Firstly, through the demonization of anonymity and secondly, through the industrialisation of the production of personal data. Coupled with Facebook’s endeavour to colonise the Web, this restructuring has taken centre stage in the development of the media industry recently. Facebook text is key to understanding the broader standardization process of communication on the Web, mainly because it demands user participation in the production process and naturalizes the commodification and industrialisation of personal data. Personalization is a large part of communication in Facebook to the point that personalization — and hence standardization — constitute the product. Thus, individualized information is less important than the fact that information will be archived and ‘pprocessed’, with more personal data produced as a result. This processing allows Facebook to industrialise the production of data.

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Pierre Levy's curator insight, March 12, 2013 1:13 PM

This article examines Facebook.com as a cultural text. It casts a critical eye on the stories told by the Facebook monopoly interphase, focusing on how these intergrate commerce with communications. It struggles with the text’s key abstractions arguing that Facebook industrialises personalised data production by demanding the constant production on customised communcation objects.

Pierre Levy's comment, March 12, 2013 1:13 PM
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A Campaign Map, Morphed By Money : NPR

A Campaign Map, Morphed By Money : NPR | e-Xploration | Scoop.it

We've reshaped the United States based on where superPACs and other outside groups spent their money to air political ads aimed at influencing the presidential election.  The result?  One weirdly telling map.


Via Jack Loring
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Infographic: An Amazing, Invisible Truth About Wikipedia

Infographic: An Amazing, Invisible Truth About Wikipedia | e-Xploration | Scoop.it

Every Wikipedia entry has an optional feature we take for granted--geotagging. An entry on the Lincoln Memorial will be linked to its specific latitude and longitude in Washington D.C. On any individual post, this may or may not be a useful thing. But what about looking at these locations en masse?

That was a question asked by data viz specialist and programmer Olivier Beauchesne. To find out, he downloaded all of Wikipedia (it’s open-source, after all) then used an algorithm that would assemble 300 topical clusters from popular, related keywords. Then he placed the location of each article in these topical clusters on a map. What he found was astounding...


Via Lauren Moss
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Is Data Visualization Art?

Is Data Visualization Art? | e-Xploration | Scoop.it

Data Visualization is driven by data. Its form is often derived from optimizing the efficiency of inputting data (and information about that data) into a human brain. It is a very pragmatic practice, built around numbers and logic.


And yet it is beautiful. It evokes emotions. It can be aesthetically pleasing, or hideous. It communicates complex concepts and provokes thought. It is consumed for enjoyment. Some visualizations even share similarities with poetry.

There are several stages in the life cycle of data visualizations, and while the core of the practice is driven by rational thinking, any number of stages in the process have opportunities for subjective decisions or artistic interpretations...


Via Lauren Moss
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Lauren Moss's curator insight, January 24, 2013 7:42 PM

An overview of the creative and artistic processes involved in data visualization...

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Think like a data journalist

Think like a data journalist | e-Xploration | Scoop.it
Whilst preparing for her Strata keynote, Google's Kathryn Hurley spent a week with the Datablog team.

Via Pierre Levy
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