Didactics and Technology in Education
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Didactics and Technology in Education
Almost "everything" about new approaches in Education
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The Socialist Origins of #BigData | #Cybersyn #Cybernetics

The Socialist Origins of #BigData | #Cybersyn #Cybernetics | Didactics and Technology in Education | Scoop.it
Evgeny Morozov on how the ideas behind Project Cybersyn, a futuristic experiment in cybernetics from nineteen-seventies Chile, still shapes technology.

Via luiy
luiy's curator insight, October 14, 2014 7:40 AM

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

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Watch_Dogs WeAreData | #smartcities #opendata

Watch_Dogs WeAreData | #smartcities #opendata | Didactics and Technology in Education | Scoop.it
Discover how data controls the cities of Paris, London and Berlin in these hyperconnected times.

Via luiy
luiy's curator insight, May 28, 2014 6:28 AM

Watch_Dogs WeareData gathers available geolocated datain a non-exhaustive way: we only display the information for which we have been given the authorization by the sources. Yet, it is already a huge amount of data. You may even watch what other users are looking at on the website through Facebook connect.

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

#BIGDATA SOCIETY: Age of Reputation or Age of Discrimination? | #controverses #privacy | Didactics and Technology in Education | Scoop.it

Via luiy
luiy's curator insight, September 23, 2014 6:13 AM

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

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#BigData & Society | #journals #openaccess

#BigData & Society | #journals #openaccess | Didactics and Technology in Education | Scoop.it

Via luiy
luiy's curator insight, January 17, 2014 8:58 AM

Big Data & Society (BD&S) is an open access peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies.

The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business and government relations, expertise, methods, concepts and knowledge.

 

BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practices that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government and crowdsourced data.  Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of a variety of topics and themes.