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antropologo.net, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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The End of the Web, Search, and Computer as We Know It | Wired.com | #algorithms #worldstream

The End of the Web, Search, and Computer as We Know It | Wired.com | #algorithms #worldstream | e-Xploration | Scoop.it
It all began with the “lifestream,” a phenomenon that I predicted in the 1990s and shared in the pages of Wired almost exactly 16 years ago.

Via John Shank
luiy's insight:

How should we arrange all the stuff on the internet? Conventional solution: use links to form a web. Users follow links from one information-object to related ones. Unconventional alternative: use narrative streams (individually, “lifestreams”; blended together, the “worldstream”). Users follow time-ordered sequences from one info-object to the next, and these streams flow: their tails lengthen constantly as new information arrives. Which suggests an unconventional GUI, using virtual 3D: objects flow towards you out of the future and away from you into the past. We’ve actually *built* a first draft of this future: prototype software that makes the vision concrete. Go to lifestreams.com to request an invite. There, you’ll see a narrative stream made of only five sources (Twitter, Facebook, mail, RSS, memos). Eventually there will be billions of sources: probably 100 or so right on your control panel that track people, institutions, blogs, photo-streams, businesses. Put these billions of streams together and you get the worldstream.

 

It’s wonderful that computing today is full of non-academics; wonderful that my piece on Wired has more influence than any journal article I might write. But no matter who or where you are, the same powerful processes drive this field: We see big visions, then use existing technology to build software that takes little steps forward. I’ve made correct predictions in my time (the cloud, Carriero and Gelernter ’85; the web etc., Mirror Worlds, ’91; blogs, chat-streams, and others, “Lifestreams: Bigger than Elvis,” 1995) — and so I can tell you that being right is worth exactly $0.0. But it moves the field forward; and it’s fun!

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IBM Redbooks | Artificial Intelligence: Learning Through Interactions and Big Data

IBM Redbooks | Artificial Intelligence: Learning Through Interactions and Big Data | e-Xploration | Scoop.it
Artifical intelligence (AI) approaches combined with analytics techniques can provide practical approaches to the challenges of creating Smarter Planet solutions.
luiy's insight:

Artifical intelligence (AI) approaches combined with analytics techniques can provide practical approaches to the challenges of creating Smarter Planet solutions.

 

The current mainstream business analytics research and solution development along with the convergence of AI with machine learning techniques will continue to underpin high-value, human decision support solutions.Cognitive systems can combine natural language processing, hypothesis generation and evaluation, and dynamic learning for a powerful, fast, and intelligent problem solving.To effectively apply intelligent problem solving using AI solutions, you can extend the capabilities of IBM Watson and its DeepQA technology architecture to other domains.

 

As organizations embrace AI, understanding the methods to approaching intelligent problem solving is central to gaining an advantage with AI solutions.

 

This IBM® Redbooks® Point-of-View publication describes the AI and business analytics concepts that drive smarter planet solutions.

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The academic, the wikipedian, the vandal. by Antonio A. Casilli | @bodyspacesoc

The academic, the wikipedian, the vandal. by Antonio A. Casilli | @bodyspacesoc | e-Xploration | Scoop.it
A blog for recovering social scientists
luiy's insight:

With the new academic year kicking in, my colleagues and I have decided to add a little wiki twist to a couple of courses we teach at Telecom ParisTech. I started a Wikispace for my digital culture class, and with Isabelle Garron and Valérie Beaudouin we’ve made compulsory for first year students to try and edit and discuss at least one Wikipedia page, as part of their initiation to online writing.

 

Sure, Wikipedia has been used as teaching tool in academia for some years now, to say nothing about its increasing popularity as a research topic. But the main rationale for using it in the classroom is that it has become the one-stop-shop for bibliographical research and fact-checkin

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Web 2.0 ... The Machine is Us/ing Us

Final version now available! http://youtube.com/watch?v=NLlGopyXT_g http://mediatedcultures.net Web 2.0 in just under 5 minutes. This is the 2nd draft, and I...
luiy's insight:

bases de la 2.0 desde la etnografía digital o virtual..

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TROLL! (What is it good for?) | #trollstudies @bodyspacesoc

Slides de l'intervention d'Antonio A. CASILLI (Telecom ParisTech/EHESS) au séminaire EPIN - COSTECH, UTC - Université de Technologie de Compiègne, 18 avril 2
luiy's insight:

 Vision irénique des réseaux sociaux (amitié, amour, partage) ou…

 

 ..les dangers omniprésents de la vie connectée (invasions de la vie privée, info overload, cyberharcèlement, stalking, phishing, etc.)

 

 Le fantasme de la communication harmonieuse vs. le spectre de la conflictualité au niveau micro et macro

 

-----------------------------

 

 

7. Typologie du troll.

 

 Troll« pur » : celui qui pourrit de commentaires désobligeants et mal adaptés au contexte d’interaction Nature est éminemment contextuelle Mauvaise évaluation du contexte : risque de déviance individuelle Engage une réaction directe de la part des autres membres de la communauté qui se retrouvent investis de la fonction d’applicateurs de la norme sociale9.

 

 Troll « hybride » : combine son activité de troll avec des « habiletés » d’autre type (hacking, faking, manipulation, coll ecte information…)  Ex. Mr. Bundle (A Rape in Cyberspace, 1993)  Joan, « la thérapeute en fauteuil roulant » (The Strange Case of the Electronic Lover, 1985).

 

 Troll « réciproque ou involontaire » : plusieurs individus sont réciproquement convaincus que « les trolls c’est les autres ». Echo de la théorie du labeling  Personne ne trolle à proprement parler – et pourtant « ça trolle »  Propriété émergente du système social

 

 Le troll « revendicatif » : un usager mécontent d’un produit ou d’un service, qui manifeste sa frustration en bombardant de messages décalées ou agressifs le site Web, la page Facebook d’une entreprise.  Les trolls des marques, des célébrités, des hommes politiques…  Le côté obscur du Cluetrain Manifesto (si « les marchés sont devenus des conversations », le troll pourrit le marché…)

 

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Dataiku : #bigdata community | #dataInnovation #datascience #workforce

Dataiku : #bigdata community | #dataInnovation #datascience #workforce | e-Xploration | Scoop.it
luiy's insight:
Build your data lab 

However, building such a data lab can prove to be difficult.
Even though many data science technologies are freely available in open-source, choosing the right one(s) remain complex and integrating them cumbersome.
Furthermore, data science skills are rare, and it might not be obvious how to train your people to these new techniques.

Last but not the least, integrating the data-driven innovation to your existing product teams can be a hell of conflicting mindsets.

 

Introducing Dataiku, the data lab accelerator


Dataiku was founded by Big Data veterans to help you build and grow your data lab. Dataiku founders believe that data-innovation can be achieved successfully by any organization with the right  combination of technology, people and methodology.

First, we are, at Dataiku, passionate about technology. We are putting several years of expertise into the Dataiku platform to collect, reshape, analyze and share  data. Our goal is to dramatically decrease the infrastructure, software and human costs for data science projects.

Second, we are, at Dataiku, enthusiast about data-driven innovation. We want to share this passion, infuse a data science mindset to your teams and help your data lab to develop. We are ready to help you find the hidden data treasures within your data history and kick-start your first data science initiatives.

Finally, we are, at Dataiku, fond of data scientists. We’re putting together a community of data science experts that can complement your team before your lab is fully operational.

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Rescooped by luiy from Cabinet de curiosités numériques
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Datavisualisation: zoom sur 5 start-ups françaises #dataviz

Datavisualisation: zoom sur 5 start-ups françaises #dataviz | e-Xploration | Scoop.it
Twitter vient de racheter Lucky Sort, une startup spécialisée dans l'analyse et la  data-visualisation. Zoom sur 5…

Via Audrey Bardon
luiy's insight:

Trends --- > sur dataviz à la France

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The Banality of ‘Don’t Be Evil’ by Julian Assange | #controverses #risk

The Banality of ‘Don’t Be Evil’ by Julian Assange | #controverses #risk | e-Xploration | Scoop.it
Two Google leaders have written a manifesto for technocratic imperialism.
luiy's insight:

“THE New Digital Age” is a startlingly clear and provocative blueprint for technocratic imperialism, from two of its leading witch doctors, Eric Schmidt and Jared Cohen, who construct a new idiom for United States global power in the 21st century. This idiom reflects the ever closer union between the State Department and Silicon Valley, as personified by Mr. Schmidt, the executive chairman of Google, and Mr. Cohen, a former adviser to Condoleezza Rice and Hillary Clinton who is now director of Google Ideas.


-----------------------------------------------------


The authors offer an expertly banalized version of tomorrow’s world: the gadgetry of decades hence is predicted to be much like what we have right now — only cooler. “Progress” is driven by the inexorable spread of American consumer technology over the surface of the earth. Already, every day, another million or so Google-run mobile devices are activated. Google will interpose itself, and hence the United States government, between the communications of every human being not in China (naughty China). Commodities just become more marvelous; young, urban professionals sleep, work and shop with greater ease and comfort; democracy is insidiously subverted by technologies of surveillance, and control is enthusiastically rebranded as “participation”; and our present world order of systematized domination, intimidation and oppression continues, unmentioned, unafflicted or only faintly perturbed.


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The Department of Justice admitted in March that it was in its third year of a continuing criminal investigation of WikiLeaks. Court testimony states that its targets include “the founders, owners, or managers of WikiLeaks.” One alleged source, Bradley Manning, faces a 12-week trial beginning tomorrow, with 24 prosecution witnesses expected to testify in secret.

This book is a balefully seminal work in which neither author has the language to see, much less to express, the titanic centralizing evil they are constructing. “What Lockheed Martin was to the 20th century,” they tell us, “technology and cybersecurity companies will be to the 21st.” Without even understanding how, they have updated and seamlessly implemented George Orwell’s prophecy. If you want a vision of the future, imagine Washington-backed Google Glasses strapped onto vacant human faces — forever. Zealots of the cult of consumer technology will find little to inspire them here, not that they ever seem to need it. But this is essential reading for anyone caught up in the struggle for the future, in view of one simple imperative: Know your enemy.


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The Dictatorship of Data | MIT Technology Review | #bigdata #controverses #privacy

The Dictatorship of Data | MIT Technology Review | #bigdata #controverses #privacy | e-Xploration | Scoop.it
Robert McNamara epitomizes the hyper-rational executive led astray by numbers.
luiy's insight:

Big data is poised to transform society, from how we diagnose illness to how we educate children, even making it possible for a car to drive itself. Information is emerging as a new economic input, a vital resource. Companies, governments, and even individuals will be measuring and optimizing everything possible.

 

But there is a dark side. Big data erodes privacy. And when it is used to make predictions about what we are likely to do but haven’t yet done, it threatens freedom as well. Yet big data also exacerbates a very old problem: relying on the numbers when they are far more fallible than we think. Nothing underscores the consequences of data analysis gone awry more than the story of Robert McNamara.


--------------------------------------------------------------------------


Google’s deference to data has been taken to extremes. To determine the best color of a toolbar on the website, Marissa Mayer, when she was one of Google’s top executives before going to Yahoo, once ordered staff to test 41 gradations of blue to see which ones people used more. In 2009, Google’s top designer, Douglas Bowman, quit in a huff because he couldn’t stand the constant quantification of everything. “I had a recent debate over whether a border should be 3, 4 or 5 pixels wide, and was asked to prove my case. I can’t operate in an environment like that,” he wrote on a blog announcing his resignation. “When a company is filled with engineers, it turns to engineering to solve problems. Reduce each decision to a simple logic problem. That data eventually becomes a crutch for every decision, paralyzing the company.”

 

This is the dictatorship of data. And it recalls the thinking that led the United States to escalate the Vietnam War partly on the basis of body counts, rather than basing decisions on more meaningful metrics. “It is true enough that not every conceivable complex human situation can be fully reduced to the lines on a graph, or to percentage points on a chart, or to figures on a balance sheet,” said McNamara in a speech in 1967, as domestic protests were growing. “But all reality can be reasoned about. And not to quantify what can be quantified is only to be content with something less than the full range of reason.” If only the right data were used in the right way, not respected for data’s sake.

 

Robert Strange McNamara went on to run the World Bank throughout the 1970s, then painted himself as a dove in the 1980s. He became an outspoken critic of nuclear weapons and a proponent of environmental protection. Later in life he produced a memoir, In Retrospect, that criticized the thinking behind the war and his own decisions as secretary of defense. “We were wrong, terribly wrong,” he famously wrote. But McNamara, who died in 2009 at age 93, was referring to the war’s broad strategy. On the question of data, and of body counts in particular, he remained unrepentant. He admitted that many of the statistics were “misleading or erroneous.” “But things you can count, you ought to count. Loss of life is one.”

 

Big data will be a foundation for improving the drugs we take, the way we learn, and the actions of individuals. However, the risk is that its extraordinary powers may lure us to commit the sin of McNamara: to become so fixated on the data, and so obsessed with the power and promise it offers, that we fail to appreciate its inherent ability to mislead.



Read more: http://www.technologyreview.com/news/514591/the-dictatorship-of-data/#ixzz2V5UfhVMo ;
From MIT Technology Review 
Follow us: @techreview on Twitter | technologyreview on Facebook



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Billions of Geotagged Tweets Visualized in Twitter's Amazing Maps

Billions of Geotagged Tweets Visualized in Twitter's Amazing Maps | e-Xploration | Scoop.it
Ever wonder what it would look like to plot every single geotagged tweet since 2009 on a map? Twitter has done just that.
luiy's insight:

Ever wonder what it would look like to plot every single geotagged tweet since 2009 on a map? Twitter has done just that.

Twitter posted these maps of Europe, New York City, Tokyo and Istanbul on its blog Friday. They use billions of geotagged tweets: Every dot represents a tweet, with the brighter colors showing a higher concentration of tweets. It's pretty amazing how the mapped-out tweets clearly match with population centers, highways and the like — though perhaps that's obvious.

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.. when "extremely violent and sadistic imagery is two clicks away-Sex education struggles with porn | #sexEducation

.. when "extremely violent and sadistic imagery is two clicks away-Sex education struggles with porn | #sexEducation | e-Xploration | Scoop.it
I

In an age when "extremely violent and sadistic imagery is two clicks away" school sex education is struggling to keep pace, a study suggests.

 

Pornography can distort children's attitudes to sex said Deputy Children's Commissioner Sue Berelowitz.

Urgent action is needed to develop children's resilience to extremely graphic types of porn argues the study.

The government said its curriculum changes would teach children from the age of five to stay safe online.

The report, led by the University of Middlesex and commissioned by the Office of The Children's Commissioner, suggests some children are exposed to pornography while still at primary school, and the proportion increases with age with "a significant proportion of children and young people" viewing pornography.

Lessons on relationships should start in primary school, it argues, while relationships and sex education should be compulsory in all schools and include time for pupils to discuss the impact of pornography.

Some types of online porn are "very different" to what today's parents may have seen as children, said Ms Berelowitz.

 

"Just a few clicks away on any mobile phone, on any tablet for example, children can find really graphic depictions of extreme and violent sexual acts."


Via Wildcat2030
luiy's insight:

Building resilience


The authors say the sex education curriculum needs to be more relevant to young people's lives and include pornography.

They also call for more emphasis on relationship education in secondary schools.

 

"We think it's really important that the curriculum includes pornography to help build children's resilience to what they are seeing on the internet - to help them differentiate between what they are seeing and good healthy relationships which are not about submission and not about being forced," said Ms Berelowitz.

 

She added that parents needed to recognise the effect of pornography on their children.

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Why we are all digital anthropologists

Why we are all digital anthropologists | e-Xploration | Scoop.it
A couple of years ago, I came across a film about London's East Street market which in the 80's was a regular Sunday outing for my family.

Via Andrea Naranjo
luiy's insight:

A couple of years ago, I came across a film about London's East Street market which in the 80's was a regular Sunday outing for my family.

The memories flooded back, I sent the link to my brother and we vowed to visit soon to buy cheap greetings cards and show our support. And then another film grabbed my attention. A young Afghan girl learning to drive allowed us a slice of her life. It made me sit up.

 

MyStreet is the website hosting these films and many others -- encouraging the use of digital tools to open up the experience of making and sharing your own 'story'. Both local and global audiences can tap in -- a connection to something familiar or a learning of something unknown.

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#neurocentrism : Distinguishing Brain From Mind

#neurocentrism : Distinguishing Brain From Mind | e-Xploration | Scoop.it
In coming years, neuroscience will answer questions we don't even yet know to ask. Sometimes, though, focus on the brain is misleading.

Via Spaceweaver
luiy's insight:

Understanding the brain is of course essential to developing treatments for devastating illnesses like schizophrenia and Parkinson's. More abstract but no less compelling, the functioning of the brain is intimately tied to our sense of self, our identity, our memories and aspirations. But the excitement to explore the brain has spawned a new fixation that my colleague Scott Lilienfeld and I call neurocentrism -- the view that human behavior can be best explained by looking solely or primarily at the brain.

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What are Complex Adaptive Systems?

What are Complex Adaptive Systems? | e-Xploration | Scoop.it

 

A brief description of Complex Adaptive Systems and
Complexity Theory, by Peter Fryer


.


Via Bernard Ryefield, Ben van Lier
luiy's insight:

Complex adaptive systems are all around us. Most things we take for granted are complex adaptive systems, and the agents in every system exist and behave in total ignorance of the concept but that does not impede their contribution to the system. Complex Adaptive Systems are a model for thinking about the world around us not a model for predicting what will happen. I have found that in nearly all situations I can view what is happening in Complex Adaptive Systems terms and that this opens up a variety of new options which give me more choice and more freedom.

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Bernard Ryefield's curator insight, June 4, 2013 4:58 PM

as brief and thorough as possible

Alexander Abramov's curator insight, June 6, 2013 1:35 AM

Complex Adaptive Systems - underlie manipulated in biology and engineering, this feedback system.

Alain Coetmeur's comment, July 21, 2013 6:12 AM
antifragile, if/since they survived ?
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The most controversial topics in Wikipedia: A multilingual and geographical analysis | #controverses #wikipedia

luiy's insight:

We present, visualize and analyse the similarities and differences between the controversial topics related to "edit wars" identified in 10 different language versions of Wikipedia. After a brief review of the related work we describe the methods developed to locate, measure, and categorize the controversial topics in the different languages. Visualizations of the degree of overlap between the top 100 list of most controversial articles in different languages and the content related geographical locations will be presented. We discuss what the presented analysis and visualizations can tell us about the multicultural aspects of Wikipedia, and, in general, about cultures of peer-production with focus on universal and specifically, local features. We demonstrate that Wikipedia is more than just an encyclopaedia; it is also a window into divergent social-spatial priorities, interests and preferences.

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How signals, geometry, and topology are influencing data science | #datascience

How signals, geometry, and topology are influencing data science | #datascience | e-Xploration | Scoop.it
I've been noticing unlikely areas of mathematics pop-up in data analysis. While signal processing is a natural fit, topology, differential and algebraic geometry aren't exactly areas you associate with...
luiy's insight:

Compressed Sensing
Compressed sensing is a signal processing technique which makes efficient data collection possible. As an example using compressed sensing images can be reconstructed from small amounts of data. Idealized Sampling is used to collect information to measure the most important components. By vastly decreasing the number of measurements to be collected, less data needs to stored, and one reduces the amount of time and energy1 needed to collect signals. Already there have been applications in medical imaging and mobile phones.

The problem is you don’t know ahead of time which signals/components are important. A series of numerical experiments led Emanuel Candes to believe that random samples may be the answer. The theoretical foundation as to why a random set of signals would work, where laid down in a series of papers by Candes and Fields Medalist Terence Tao2.

 

Topological Data Analysis
Tools from topology (mathematics of shapes and spaces) have been generalized to point clouds of data(random samples from distributions, inside high-dimensional spaces). Topological Data Analysis is particularly useful for exploratory (visual) data analysis. Startup Ayasdi uses topological data analysis to help business users detect patterns in high-dimensional data sets.

 

Hamiltonian Monte-Carlo
Inspired by ideas from differential geometry and classical mechanics, Hamiltonian Monte Carlo (HMC) is an efficient alternative to popular approximation techniques like Gibbs sampling. A new open source, software package called Stan lets you fit Bayesian statistical models using HMC. (RStan lets you use Stan from within R.)

 

Geometry and Data: Manifold Learning and Singular Learning Theory
Starting with a set of points in high-dimensional space, manifold learning3 uses ideas from differential geometry to do dimension reduction – a step often used as a precursor to applying machine-learning algorithms. Singular learning theory draws from techniques in algebraic geometry to generalize the Bayesian Information Criterion(BIC) to a much wider set of models. (BIC is a model selection criterion used in machine-learning and statistics.)

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RIP 2.0 – Google lance un service pour gérer ses données après sa mort | #ritualdigital

RIP 2.0 – Google lance un service pour gérer ses données après sa mort | #ritualdigital | e-Xploration | Scoop.it
RIP 2.0 – Google lance un service pour gérer ses données après sa mort
luiy's insight:

Y a-t-il une vie (virtuelle) après la mort ? Pour Google, il y a au moins une façon de l'organiser. Le géant américain vient de lancer son nouveau service "Inactive Account Manager", qui permet de prévoir et d'organiser ce qu'adviendront les données personnelles du titulaire d'un compte Google, avec tous ses services associés, après sa mort, indique le site du Telegraph.

 

Celui-ci pourra en premier lieu décider de la date de mise en inactivité de son compte (trois, six, neuf ou douze mois après sa mort), ainsi que de ce qu'il adviendra de ses photos sur Picassa, de ses vidéos publiées sur Youtube ou de ses Google Docs. Le titulaire du compte peut ainsi décider du transfert de l'ensemble de ses données vers une personne de son choix.

 

TESTAMENT VIRTUEL


Un véritable testament virtuel qui fait écho au projet de règlement européen visant à détruire ou anonymiser les données personnelles, analysé par Rue89. L'initiative de Google peut donc apparaître comme une alternative, ou une réponse, à ce projet, combattu par les lobbies de l'industrie du Web, en raison "de sa complexité et de son coût".


Wired s'est de son côté amusé à recenser tous les sites internet qui ont flairé le bon filon du testament virtuel. Le site Bcelebrated offre ainsi de célébrer les meilleurs moments de votre passage sur Terre, "aujourd'hui et pour toujours", en uploadant des textes, images et documents sonores, que vos amis et votre famille pourront consulter après votre mort.

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Collective Intelligence: Cities as Global Sustainability Platform - TEDxMission | #CI #smartcities #socialchange

Social media and collaborative technologies--layered with smart systems combining geo-location data with human experience--will make cities the driving susta...
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Why Big Data Is Not Truth : “Big Data fundamentalism" | #bigdata #controverses

Why Big Data Is Not Truth : “Big Data fundamentalism" | #bigdata #controverses | e-Xploration | Scoop.it
Don’t let the rhetoric fool you, a Microsoft researcher says: Big Data is a human tool, which means it is subject to all kinds of miscollection, misapplication and abuse.

Via Pierre Levy
luiy's insight:

Kate Crawford, a researcher at Microsoft Research, calls the problem :


“Big Data fundamentalism"


— the idea with larger data sets, we get closer to objective truth.” Speaking at a conference in Berkeley, Calif., on Thursday, she identified what she calls “six myths of Big Data.”

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Intriguing Networks's curator insight, June 2, 2013 4:56 AM

It still is all in the interpretation...

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The minorities in the high tech workforce | #minorities #hitech #workforce

The minorities in the high tech workforce | #minorities #hitech #workforce | e-Xploration | Scoop.it
Citing a critical shortage Silicon Valley heavyweights have been lobbying for immigration reform that will allow high tech firms to hire more workers...
luiy's insight:

Code.org, the high-profile industry effort to push for more computer science and programming in K-12 education, correctly highlights the growing need for programmers and the dearth of educational opportunities to learn to code. But the reasons for the high tech talent gap run deeper than a simple lack of curricular offerings.

 

The statistics on the code.org site are silent as to issues of diversity and equity, and fail to point out that coders are overwhelmingly white, Asian, and male. If almost all non-Asian minorities and women feel that coding is not for them, we have reduced our potential pool of high tech talent to a fraction of the population.

 

Despite a deserved reputation for progressiveness, the tech sector is highly exclusionary to those who don't fit the geek stereotype--and this tendency is getting worse, especially in Silicon Valley. You might have heard, based on 2011 numbers, that only 25 percent of the U.S. high tech workforce is female, and the percentages have been in steady decline since the nineties. The numbers for minority women are even more dismal. Hispanic women represent 1 percent of the high tech workforce, and African-American women don't fare much better, at 3 percent. The better the jobs, the lower the proportions are of women and non-Asian minorities. Despite the diversity of the population of the region, Silicon Valley, which boasts the highest salaries among tech regions, fares much worse than the national numbers.

 

-----------------------------------------------------

 

We know that the more diverse the ecosystem of talent, the more innovative are the solutions that result. If we really care about the talent gap in high tech, innovation, and entrepreneurism, we need to do more than look overseas, or push classes and school requirements at kids. We need to build a sense of relevance and social connection into what it means to be a coder for a wide diversity of kids. Groups such as Black Girls Code, Mozilla’s Webmaker Mentors, Urban TxT, a growing network of makerspaces in diverse communities, and the vibrant community of youngScratch programmers point to ways in which girls, and Black and Latino kids can be recruited into coding culture and social networks. The talent is there to be developed if we can diversify our imagination of who belongs to the coding inner circle, and how we might invite them to join.

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What is #Quantum Computing? An interactive explainer

What is #Quantum Computing? An interactive explainer | e-Xploration | Scoop.it

Scientists say quantum computers could be built to operate up to a million times faster than conventional computers. But how do they work? And how close are we to putting them in homes and offices around the world?


Via Szabolcs Kósa
luiy's insight:

Between D-Wave’s quasi-quantum device and various ion-trapping machines, there are plenty of exciting developments on the quantum computing front. Last week, a D-Wave machine consisting of 439 qubits processed an equation 3600 times faster than a conventional computer.

That said, the most complex prime factorization processed by Shor’s Algorithm is still only... 21 (the answer’s 3 and 7. Easy to come up with on paper, not so easy using atoms).

 

But quantum computing is about more than cracking codes. The D-Wave device Google announced last week will be used to improve machine learning. That means better robots and maybe dystopia, if you believe our editor Adam Penenberg. But it also means producing better models for understanding the world around us (and, since this is Google we’re talking about, better models for organizing and searching through all that data).

“Machine learning is all about building better models of the world to make more accurate predictions,” writes Google’s Director of Engineering Hartmut Neven in a blog post. “If we want to cure diseases, we need better models of how they develop. If we want to create effective environmental policies, we need better models of what’s happening to our climate. And if we want to build a more useful search engine, we need to better understand spoken questions and what’s on the web so you get the best answer.”

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#datavis apps : Twitter Mapping Tools

#datavis apps : Twitter Mapping Tools | e-Xploration | Scoop.it
Twitter is undeniably useful as a standalone service, but it becomes so much more fun when you start factoring in all the cool tools and awesome apps available. We've previously...
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Can Patents Keep Up with Technology?: How do we recognize an invention when we see one? | #patentTrolls

Can Patents Keep Up with Technology?: How do we recognize an invention when we see one? | #patentTrolls | e-Xploration | Scoop.it
How do we recognize an invention when we see one?

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The U.S. patent system is a popular target. Recently we have heard that big portfolios of large companies pose a threat to small inventors, “patent trolls” who exist solely to sue real companies have hijacked the marketplace for new ideas and colossal lawsuits prove that America's patent system is broken.

The patent system is indeed in the midst of a challenge. Software technology gives us the GPS in our mobile devices, CT scans that provide early health diagnostics, and other wonders, but circumscribing such technologies in a patent is difficult. Advances in genetics and biotech are critically important to treating many diseases and require huge investments that rely on patent protection, but it is often hard to know where the rights of the inventors end and the public's begin. Should 3-D print files be eligible for patent prosecution? What breadth of protection should be available for the algorithms that extract knowledge from enormous aggregations of data? Each fundamental advance calls for reexamination and adaptation, which is why the patent system is, and must be, the subject of continuous improvement.


Via Wildcat2030
luiy's insight:

Beyond first-to-file, the AIA also responds to concerns about the quality of issued patents by providing cost-effective, fast ways to comment on pending patents and to challenge issued ones. These new opportunities apply to all patent applications and patents but are especially helpful in software, where historical references are difficult to find, and in biotech, where fine lines must be drawn between discoveries eligible for protection and ones free for all to use. Still, the AIA has only recently gone into effect, and the ramifications of its new processes and procedures are just beginning to be felt. As Scientific American's March 9, 1878, issue stated, “our Patent Office [is] a great National University, whose diplomas of merit for successful endeavor [are] infinitely more valuable than those of any college.” This statement is still true.

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Steven Bonacorsi's curator insight, May 23, 2013 10:32 AM

We invite you to join the Lean Six Sigma Group or any of our Subgroups http://www.linkedin.com/groups?subgroups=&gid=37987 where Lean Six Sigma Jobs are Free

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#wirearchy : What If Everything Ran Like the Internet? | #self #adapting #complex

#wirearchy : What If Everything Ran Like the Internet? | #self #adapting #complex | e-Xploration | Scoop.it

When the Internet was first starting to catch on in the 1980s, I was invited, as a representative of a large business consulting organization, to a day-long seminar explaining what this new phenomenon was and how businesses should be responding to it. It was led by a man who now makes millions as a social media guru (I won’t embarrass him by identifying him), but at the time he warned that the Internet had no future. The reason, he said, was that it was “anarchic” — there was no management, no control, no way of fixing things quickly if they got “out of hand”. The solution, he said, was for business and government leaders to get together and create an orderly alternative — “Internet 2″ he called it — that would replace the existing Internet when it inevitably imploded. Of course, he couldn’t have been more wrong.


Via Complexity Digest, Spaceweaver, Wildcat2030
luiy's insight:

Organization models --- > Internet --> “wirearchy” --> nature’s model of self-organizing, self-adapting, evolving complex systems

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Olivier Auber's comment, May 29, 2013 5:19 AM
In fact, the Internet as we know it, is also hierarchical, due to its silos and protocols.
https://www.youtube.com/watch?v=8c0sX6j5D_c
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What facebook knows about you | #dataawareness

A couple of months ago the Austrian law student Max Schrems asked facebook to send him all their data stored about him. All Europeans have a right to do this...
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