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Researchers Use Data from Cheap Cell Phones in the Developing World to Combat Disease Outbreaks | MIT Technology Review

Researchers Use Data from Cheap Cell Phones in the Developing World to Combat Disease Outbreaks | MIT Technology Review | e-Xploration | Scoop.it
Collecting and analyzing information from simple cell phones can provide surprising insights into how people move about and behave—and even help us understand the spread of diseases.
luiy's insight:

At a computer in her office at the Harvard School of Public Health in Boston, epidemiologist Caroline Buckee points to a dot on a map of Kenya’s western highlands, representing one of the nation’s thousands of cell-phone towers. In the fight against malaria, Buckee explains, the data transmitted from this tower near the town of Kericho has been epidemiological gold.

 

When she and her colleagues studied the data, she found that people making calls or sending text messages originating at the Kericho tower were making 16 times more trips away from the area than the regional average. What’s more, they were three times more likely to visit a region northeast of Lake Victoria that records from the health ministry identified as a malaria hot spot. The tower’s signal radius thus covered a significant waypoint for transmission of malaria, which can jump from human to human via mosquitoes. Satellite images revealed the likely culprit: a busy tea plantation that was probably full of migrant workers. The implication was clear, Buckee says. “There will be a ton of infected [people] there.”

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Grafik: Das Netzwerk des NSU - SPIEGEL ONLINE

Grafik: Das Netzwerk des NSU - SPIEGEL ONLINE | e-Xploration | Scoop.it
Beschuldigte im Münchner Prozess zu den Verbrechen des "Nationalsozialistischen Untergrunds" werden rot dargestellt, ihre mutmaßlichen Unterstützer sind durch graue Punkte markiert.
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Our Future Might Be Bright: The Tentative, Rosy Predictions of Google's Eric Schmidt

Our Future Might Be Bright: The Tentative, Rosy Predictions of Google's Eric Schmidt | e-Xploration | Scoop.it
The rhetoric Schmidt and his co-author Jared Cohen employ in their new book is clever but misleading.

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A new book by Google chairman Eric Schmidt and Google Ideas director Jared Cohen plots out the future of digital technology, with an emphasis on global affairs. The New Digital Age foresees, in the not too distant future that, though wars may become more common as the costs to engage decrease, death tolls will fall as robot soldiers take to the battlefield. The book envisions whole governments being backed up in the online cloud where data becomes less vulnerable to physical disaster. Other chapters from the book consider the evolution of citizenship, states, revolution, terrorism, and foreign aid as impacted by digital technologies. The authors conclude that the new digital age is unpredictable, but that on the whole, it will be a brighter place because of electronic technology.

That the book delves so deeply into technology's impact on the world stage is no surprise given the authors' other interests. Cohen was an adviser to Condoleeza Rice and Hillary Clinton at the State Department, and Schmidt seems to be embracing a role as corporate statesman, having just made high-profile trips to North Korea and Myanmar.


Via Wildcat2030
luiy's insight:

Schmidt and Cohen are right about one thing: "The digital revolution will continue." But while technology will cause great change, our biggest challenges will require changes in us, as people and societies. Fancy gadgets won't turn around a failing for-profit -- even in our tech-drenched world, leadership, management, and employee capacity are what matter. Similarly, fancy gadgets won't rescue a world intent on resource extraction, climate change, extreme inequality, and ongoing conflict -- even in a tech-immersed future, leadership, institutions, and global activism are what matter. The technological tools of leadership and activism are a distant concern relative to whether there is good leadership and activism in the first place.

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Boston Marathon bombings: Twitter data ans sentiment analysis

Boston Marathon bombings: Twitter data ans sentiment analysis | e-Xploration | Scoop.it
By Stephanie Pappas, LiveScience April 15, 2013, the date of the Boston Marathon bombings, was the saddest recorded day in five years, according to a measure of global happiness created by using Twitter data.
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Binify for hexagon binning in Python

Binify for hexagon binning in Python | e-Xploration | Scoop.it
As an alternative to dot density maps, Binify by Kevin Schaul allows you to map with hexagon binning in Python. Dot density maps are a straightforward way to visualize location data, but when you have too many locations, points can overlap and obscur clusters and trends. That's where binning comes in. Generally speaking, the goal is to look at an area on a map and then count how many points are within that area. Do that across the entire area. Grab the package on GitHub and go to town.
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TECHNOLOGIES OF COOPERATION. by Andrea Saveri, Howard Rheingold, and Kathi Vian | @hrheingold @asaveri

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Mapping Key Concepts and Choices

Emerging digital technologies present new opportunities for developing complex cooperative strategies that change the way people work together to solve problems and generate wealth. Central to this class of cooperation-amplifying technologies are eight key clusters, each with distinctive contributions to cooperative strategy.

Each of these technology clusters can be viewed not only as a template for design of cooperative systems, but also as tools people can use to tune organizations, projects, processes, and markets for increased cooperation. Specifically, each can be used in distinctive ways to alter the key dimensions of cooperative systems—structure, rules, resources, thresholds, feedback, memory, and identity.

 

Authors: Andrea Saveri, Howard Rheingold, and Kathi Vian

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Naomi Klein: Time for big green to go fossil free

Naomi Klein: Time for big green to go fossil free | e-Xploration | Scoop.it

Some mainstream environmental organizations are trying to wean themselves from fossil fuel investments—but some aren’t.


Via Luca Baptista
luiy's insight:

The movement demanding that public interest institutions divest their holdings from fossil fuels is on a serious roll. At last count, there were active divestment campaigns on 305 campuses and in more than 100 US cities and states. The demand has spread to Canada, Australia, the Netherlands and Britain. And though officially launched just six months ago, the movement can already claim some provisional victories: four US colleges have announced their intention to divest their endowments from fossil fuel stocks and bonds, and in late April ten US cities made similar commitments, including San Francisco (Seattle came on board months ago).

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eResearch Tools | NeCTAR

eResearch Tools | NeCTAR | e-Xploration | Scoop.it
luiy's insight:

eResearch tools for Australian researchers

 

NeCTAR eResearch Tools will provide research software for the Australian research community and address specific research needs. The eResearch tools program has a strong focus on enhancing existing tools and applications to be more collaborative, accessible and support research workflows. The eResearch tools will be deployed on NeCTAR'S Research Cloud.

 

Who will build Nectar's e-Research tools?

 

The Australian research community and their technical partners will build NeCTAR's e-Research Tools and were invited via NeCTAR's stage one Request for Proposal, September 2011, to submit project proposals. The following groups and their collaborating partners are now contracted to build NeCTAR's e-Research Tools.

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How Obama Used 'Ethnography Project' to Defeat Mitt Romney in 2012

How Obama Used 'Ethnography Project' to Defeat Mitt Romney in 2012 | e-Xploration | Scoop.it
Massive research into voters' attitudes yielded Obama a re-election victory over Mitt Romney.
luiy's insight:

... But the story of Obama's ethnography project is also a cautionary tale for the president. It's not enough to understand the electorate. A president also must be able to act on that understanding and make progress, and that's where Obama has fallen down on the job. His agenda has stalled, and in the case of a gun-control bill, it has been defeated outright on Capitol Hill.

 

At his news conference this week, Obama admitted that, 100 days into his second term, he was having trouble getting things done. He blamed Republican intransigence and said he can't be expected to make his opponents "behave."

 

"Right now, things are pretty dysfunctional up on Capitol Hill," Obama declared, stating the obvious. But Americans expect more than excuses. They want their president to make the system work. They want their leader to be not only a good listener, but also someone who delivers results.

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Fake identities : Are You Following a Bot?

Fake identities : Are You Following a Bot? | e-Xploration | Scoop.it
How to manipulate social movements by hacking Twitter

Via ukituki
luiy's insight:

JamesMTitus was manufactured by cyber-security specialists in New Zealand participating in a two-week social-engineering experiment organized by the Web Ecology Project. Based in Boston, the group had conducted demographic analyses of Chatroulette and studies of Twitter networks during the recent Middle East protests. It was now interested in a question of particular concern to social-media experts and marketers: Is it possible not only to infiltrate social networks, but also to influence them on a large scale?

 

The group invited three teams to program “social bots”—fake identities—that could mimic human conversation on Twitter, and then picked 500 real users on the social network, the core of whom shared a fondness for cats. The Kiwis armed JamesMTitus with a database of generic responses (“Oh, that’s very interesting, tell me more about that”) and designed it to systematically test parts of the network for what tweets generated the most responses, and then to talk to the most responsive people.

After the first week, the teams were allowed to tweak their bot’s code and to launch secondary identities designed to sabotage their competitors’ bots. One team unleashed @botcops, which alerted users, “You might want to be suspicious about JamesMTitus.” In one exchange, a British user confronted the alleged bot: “What do you say @JamesMTitus?” The robot replied obliquely, “Yeah, so true!” The Brit pressed: “Yeah so true! You mean I should be suspicious of you? Or that @botcops should be challenged?” JamesMTitus evaded detection with a vague tweet back—“Right on bro”—and acquired 109 followers over two weeks. Network graphs subsequently showed that the three teams’ bots had insinuated themselves into the center of the target network.

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Wikipediocracy

Wikipediocracy | e-Xploration | Scoop.it
A critical review site examining Wikipedia's flaws and follies

Via Pierre Levy
luiy's insight:
Our Mission:We exist to shine the light of scrutiny into the dark crevices of Wikipedia and its related projects; to examine the corruption there, along with its structural flaws; and to inoculate the unsuspecting public against the torrent of misinformation, defamation, and general nonsense that issues forth from one of the world’s most frequently visited websites, the “encyclopedia that anyone can edit.”
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Pierre Levy's curator insight, May 2, 2013 4:56 PM

The dark side of Wikipedia

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Google and Ray Kurzweil : Are Taking Artificial Intelligence to Another Level ?? | MIT Technology Review

Google and Ray Kurzweil : Are Taking Artificial Intelligence to Another Level ?? | MIT Technology Review | e-Xploration | Scoop.it
With massive amounts of computational power, machines can now recognize objects and translate speech in real time. Artificial intelligence is finally getting smart.
luiy's insight:

When Ray Kurzweil met with Google CEO Larry Page last July, he wasn’t looking for a job. A respected inventor who’s become a machine-intelligence futurist, Kurzweil wanted to discuss his upcoming book How to Create a Mind. He told Page, who had read an early draft, that he wanted to start a company to develop his ideas about how to build a truly intelligent computer: one that could understand language and then make inferences and decisions on its own.

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A Longitudinal Study of Follow Predictors on Twitter

Follower count is important to Twitter users: it can indicate popularity and prestige. Yet, holistically, little is understood about what factors – like social behavior, message content, and network structure – lead to more followers. Such in-formation could help technologists design and build tools that help users grow their audiences. In this paper, we study 507 Twitter users and a half-million of their tweets over 15 months. Marrying a longitudinal approach with a negative binomial auto-regression model, we find that variables for message content, social behavior, and network structure should be given equal consideration when predicting link formations on Twitter. To our knowledge, this is the first longitudinal study of follow predictors, and the first to show that the relative contributions of social behavior and mes-sage content are just as impactful as factors related to social network structure for predicting growth of online social networks. We conclude with practical and theoretical impli-cations for designing social media technologies.  

 

To read the rest of the article, you can download a FREE pdf copy from:

http://comp.social.gatech.edu/papers/follow_chi13_final.pdf

 

 

 

 

luiy's insight:

Followers are Twitter’s most basic currency. Building an audience of followers can create access to a network of social ties, resources, and influence. Yet, little is understood about how to grow such an audience. This paper examines multiple factors that affect tie formation and dissolution over time on the social media service Twitter. We collected
behavioral, content, and network data approximately every three months for fifteen months. We examine specific user social behavior choices, such as: proportions of directed communications versus broadcast communications [6]; the total number of tweets produced; communication burstiness; and profile completeness [30]. We also assessed numerous attributes specific to the content of users’ tweets, such as: propensity to express positive versus negative sentiment [26,37]; topical focus [40]; proportions of tweets with “meformer” content versus informational content [33]; frequency of others “retweeting” a user’s content [5]; linguistic sophistication (reading difficulty) of tweets; and hashtag usage. Finally, we evaluated the impact of users’ evolving social network structure, collecting snapshots of their friends and followers every three months for fifteen
months. With this, we can evaluate the effects of network status, reciprocity [18], and common network neighbors.


Our variables were selected from prominent theoretical constructs bridging social science, linguistics, computer mediated communications, and network theory. This paper compares the relative contributions of factors from each perspective for predicting link formations in online social networks. We take a temporal perspective and develop a model that accounts for social behavior, message content, and network elements at several intervals for over a year.

 

We use an auto-regressive, negative binomial regression  model to explore the changes in users’ follower counts over time. We find that message content significantly impacts follower growth. For example, in contrast to [26], we find that expressing negative sentiment has an adverse effect on  follower gain, whereas expressing positive sentiment helps to facilitate it. Similarly, we show that informational content attracts new followers with a relative impact that is roughly thirty times higher than the impact of “meformer” content, which deters growth. We also find that behavioral choices can also dramatically affect follower growth. For example, choosing to complete one’s profile and choosing directed communication strategies over broadcast strategies significantly stimulates follower growth over time. Finally, we show that even simple measures of topology and structure are useful predictors of evolutionary network growth

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ScienceDirect.com - Computers in Human Behavior - Defining social networking sites and measuring their use: How narcissists differ in their use of Facebook and Twitter

Highlights•We examine the connection between narcissism and social networking site (SNS) use.•We differentiate among narcissism types, students/adults, and Facebook/Twitter.•We demonstrate how two different measures of use yield different results.•Facebook use is associated with exhibitionism for students but not for adults.•Twitter use is associated with Superiority for students while Facebook use is associated with Superiority for adults.As research on the connection between narcissism and social networking site (SNS) use grows, definitions of SNS and measurements of their use continue to vary, leading to conflicting results. To improve understanding of the relationship between narcissism and SNS use, as well as the implications of differences in definition and measurement, we examine two ways of measuring Facebook and Twitter use by testing the hypothesis that SNS use is positively associated with narcissism. We also explore the relation between these types of SNS use and different components of narcissism within college students and general adult samples. Our findings suggest that for college students, posting on Twitter is associated with the Superiority component of narcissistic personality while Facebook posting is associated with the Exhibitionism component. Conversely, adults high in Superiority post on Facebook more rather than Twitter. For adults, Facebook and Twitter are both used more by those focused on their own appearances but not as a means of showing off, as is the case with college students. Given these differences, it is essential for future studies of SNS use and personality traits to distinguish between different types of SNS, different populations, and different types of use.
To read the rest of the article, you need to acces your library's database or go to:http://www.sciencedirect.com/science/article/pii/S0747563213001155

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Sentiment analysis - methods, tools, etc. Brede Wiki

Sentiment analysis - methods, tools, etc. Brede Wiki | e-Xploration | Scoop.it
Text sentiment analysis (or usually just sentiment analysis) is a text mining technique to analyze the sentiment of the writer or to the topic written about. Bo Pang and Lillian Lee have written a lengthy introduction to sentiment analysis: Opinion mining and sentiment analysis.[1] Sentiment analysis may be combined with another text-mining technique, topic mining, in what is called topic-sentiment analysis.[2]
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BAKTÚN: AL RESCATE DE LA LENGUA MAYA

BAKTÚN: AL RESCATE DE LA LENGUA MAYA | e-Xploration | Scoop.it
Un largometraje y una miniserie únicos hasta ahora en México muestran que la lengua y la cultura maya nunca se han ido, nunca desaparecieron ni se pueden apre
luiy's insight:

Ciudad de México, 4 de mayo (SinEmbargo).– Un proyecto de largometraje y miniserie llamado Baktún pone el reflector sobre la lengua y cultura maya, que hasta ahora habían permanecido marginados de los medios masivos. Por primera vez se transmitirá una telenovela realizada en el corazón del mundo maya y hablada en el idioma local. La historia aborda el tema del fin de la cuenta larga desde la cosmovisión maya. Cuenta el periplo de Jacinto, quien ha dejado atrás su comunidad y vive en Nueva York pero la enfermedad grave de su padre lo hace regresar. Al llegar, Jacinto se enfrenta a una lucha por conquistar al amor de su infancia, por salvar a la comunidad de las amenazas de una transnacional y, en el proceso, recupera su cultura, su lengua y sus raíces. El resurgimiento de Jacinto –interpretado por Hilario Chi Canul, quien es además el asesor en la adaptación al maya– sucede a la par del fin e inicio de la cuenta larga, el 13 baktún en el calendario maya. La película aborda el reto de las comunidades indígenas del siglo XXI, el problema de cómo recuperar la cultura y tradiciones sin dejar de vivir en un mundo global. Este ha sido un tema que ha interesado a Bruno Cárcamo a lo largo de su trayectoria. Escribió para la serie “Sacbé, la ruta maya” en el Canal Once y en 2004 realizó un documental llamado “Voces en extinción”, que retrata la vida de cinco grupos indígenas cuya lengua está en riesgo de perderse.

Este contenido ha sido publicado originalmente por SINEMBARGO.MX en la siguiente dirección: http://www.sinembargo.mx/04-05-2013/604510. Si está pensando en usarlo, debe considerar que está protegido por la Ley. Si lo cita, diga la fuente y haga un enlace hacia la nota original de donde usted ha tomado este contenido. SINEMBARGO.MX

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OpenWorm Is An Open-Source Virtual Worm, Accurate In Every Way | Popular Science

OpenWorm Is An Open-Source Virtual Worm, Accurate In Every Way | Popular Science | e-Xploration | Scoop.it
Predictive models are essential in engineering fields, but less common in biology, though accurate simulations of living organisms could help us understand disease, drug efficacy and neuroscience. OpenWorm, a new open-source project devoted to creating a complete virtual model of a worm, aims to bring simulation into the living world by creating a digital organism--C. elegans, a nematode commonly used as a model organism in biology research.
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Opinion #mining - #Sentiment analysis | #politics

Opinion #mining  - #Sentiment analysis | #politics | e-Xploration | Scoop.it

Via Pierre Levy
luiy's insight:

Ces agrégats de tweets réalisés pendant la campagne électorale permettent de visualiser les sentiments extraits des tweets, ( ce qui ne veut rien dire mais ça marche encore). Mais pour rendre la chose séduisante, il suffit de les géolocaliser avec une heat map du plus joli effet. Que se passe-t-il alors pour tout esprit normalement constitué? Nous cherchons à trouver du sens, alors qu’il n’y en a pas. Notre attention a été captée et cela suffit. Je disais dans une conférence sur les conversations que la plupart des analyses de sentiment relevait des méthodes des augures et des haruspices, nous y voilà.Nous observons le vol des sentiments sur des cartes de chaleur. 

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Pierre Levy's comment, May 3, 2013 1:28 PM
Du média Lab de Sciences Po...
Sidnei Campos Pinto's comment, May 6, 2013 12:05 PM
Alphabétisation numérique et éducation aux médias de mes collègues enseignants.

Ma pratique en apprentissage dans des espaces éducatifs formels et surtout en non-formelle, me conduit à remarquer un changement dans l'apparence de la communication sur la médiation technologique dans ces espaces éducatifs. Dans le domaine de l'apprentissage et le domaine de l'éducation à la citoyenneté.
Il ya des débats houleux entre les éducateurs dans le domaine de l'apprentissage, ces derniers temps, à partir de perspectives différentes. Lorsque l'apprentissage est analysé, seulement du point de vue éducatif, on peut être induit en erreur en leur faisant croire que les nouvelles technologies représentent une panacée, selon les mots du prof dr. Ismar Lapin, qui serait responsable de changements significatifs dans le domaine de l'éducation. Le même professeur Ismar, souligne que Pierre Levy préfère situer l'apprentissage dans le cadre d'une «écologie cognitive», pleine de significations et de valeurs symboliques qui nourrit la société psychique et culturel contemporain.
Ce changement important m'amène à la relance d'un appel d'éducateurs, communicateurs, les ingénieurs et les gestionnaires de l'information de penser, de rassembler et d'évaluer l'introduction de nouvelles technologies dans l'éducation, se demandant en permanence par modèle de communication qui sous-tend le système éducatif spécifique . C'est ce qu'on appelle une information de gestion et de communication dans les espaces éducatifs. Ce projet comprend l'enseignement à distance EAD, l'éducation pour les médias, l'éducation et les médias, et l'éducation non formelle très. Dans tous ces systèmes est le même: l'apprentissage se fait en ce que l'individu se sent touché impliqué connecté. Ainsi, l'environnement induite par la technologie peut aider à produire des sens, devenant dans les médiations.

Analyser une sensation produite par cette expérience que le sauvetage de ma délicatesse perdu. «Transformer personnes dans plus de personnes», comme Paulo Freire.
Pierre Levy's comment, May 6, 2013 2:08 PM
:-)
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IFTF: The Many Faces of Context Awareness

IFTF: The Many Faces of Context Awareness | e-Xploration | Scoop.it
luiy's insight:

In 1988, Mark Weiser laid the foundation for what he called the third wave of computing. The first wave was mainframe computing, followed by the second wave of desktop computing. The third wave, would be a kind of ubiquitous computing—in which technology would recede into the background of our lives. The world is now on the brink of this third wave, and at the heart of it is something we might call context awareness. In the simplest terms, context awareness just means having information about the immediate situation—the people, roles, activities, times, places, devices, and software that define the situation. But context awareness is also about meaning and meaning-making, and it is especially this piece of the technological puzzle—this sensemaking—that we address in this report. To understand the range of context-aware technologies, viewpoints, and applications, we developed a spectrum of context awareness, ranging from those that emphasize top-down design on one end to bottom-up emergence on the other. We hope that this framework will help you anticipate the kinds of successes and failures we'll see in this new wave of computing, as well as the social implications as computing moves into the environment.

 

http://www.iftf.org/uploads/media/SR-1014_Many_Faces_Context_Awareness.pdf

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IFTF: The Future of Science. #eScience #eResearch

IFTF: The Future of Science. #eScience #eResearch | e-Xploration | Scoop.it

A Multiverse of Exploration: The Future of Science 2021

Invisibility cloaks. The search for extraterrestrial intelligence. A Facebook for genes. These were just a few of the startling topics IFTF explored at our Technology Horizons Program conference in on the "Future of Science." More than a dozen scientists from UC Berkeley, Stanford, UC Santa Cruz, Scripps Research Institute, SETI, and private industry shared their edgiest research driving transformations in science. MythBusters' Adam Savage weighed in on the future of science education. All of their presentations were signals supporting IFTF's new "Future of Science" forecast, laid out in a new map titled "A Multiverse of Exploration: The Future of Science 2021" (featured on CNN's What's Next and BoingBoing). The map focuses on six big stories of science that will play out over the next decade: Decrypting the Brain, Hacking Space, Massively Multiplayer Data, Sea the Future, Strange Matter, and Engineered Evolution. Those stories are emerging from a new ecology of science shifting toward openness, collaboration, reuse, and increased citizen engagement in scientific research.


Via Terheck, NikolaosKourakos, Rui Guimarães Lima
luiy's insight:

The map focuses on six big stories of science that we think will play out over the next decade:

Decrypting the Brain,Hacking Space,Massively Multiplayer Data,Sea the Future,Strange Matter, andEngineered Evolution.
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Data Visualization: lucha libre mexicana "mascara VS cabellera"

Data Visualization: lucha libre mexicana "mascara VS cabellera" | e-Xploration | Scoop.it
Data visualization interface. //Inside * When did the wrestler lost mask //Outside * Teams
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Visualizing social learning ties by type and topic: rationale and concept demonstrator

luiy's insight:

Social Learning Analytics (SLA) are designed to support students  learning through social networks, and reflective practitioners  engage in informal learning through a community of practice.

 

This short paper reports work in progress to develop SLA  motivated specifically by Networked Learning Theory, drawing  on the related concepts and tools of Social Network Analytics and  Social Capital Theory, which provide complementary perspectives onto the structure and content of such networks. We propose that SLA based on these perspectives needs to devise models and visualizations capable of showing not only the usual SNA metrics, but the types of social tie forged between actors, and topic-specific subnetworks. We describe a technical implementation demonstrating this approach, which extends the Network Awareness Tool by automatically populating it with data from a social learning platform SocialLearn. The result is the ability to visualize relationships between people who interact around the same topics.

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#Predictive models – Implementation vs Specification

Benjamin Good recently asked about the existence of public repositories of predictive molecular signatures. From his description, he's looking for platforms that are capable of deploying predictive models.

Via AnalyticsInnovations
luiy's insight:

Benjamin Good recently asked about the existence of public repositories of predictive molecular signatures. From his description, he’s looking for platforms that are capable of deploying predictive models. The need for something like this is certainly not restricted to genomics – the QSAR field has been in need for this for many years. A few years back I described a system to deploy R models and more recently the OCHEM  platform attempts to address this. Pipelining tools usually have a web deployment mode that also supports this idea. One problem faced by such platforms in the cheminformatics area is that the deployed model must include the means to evaluate the input features (a.k.a., descriptors). Depending on the licenses associated with descriptor software such a bundle may not be easily deployed. A gene-based predictor obviously doesn’t suffer from this problem, so it should be easier to implement. Benjamin points out the Synapse platform which looks quite nice, but only supports R models (not necessarily a bad thing!). A very recent candidate for generic predictive model (amongst other things) deployment is via plugins for the BARD platform.

 

But in my mind, the deeper issue that should be addressed is that of model specification. With a robust specification, evaluation of the model could implemented in arbitrary languages and platforms – essentially decoupling model definition and model implementation. PMML is one approach to predictive model specifications and is quite general (and a good solution for the gene predictor models that Benjamin is interested in). A field-specific example would be QSAR-ML (also see here) for QSAR models. One could then imagine repositories of model specifications, with an ecosystem of tools and services that instantiate models from these specs.

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