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A bubble-and-squeak dish of elearning, creativity, innovation and design education
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The Human Face of Big Data | KurzweilAI

The Human Face of Big Data | KurzweilAI | Creativity and learning | Scoop.it

The images and stories captured in The Human Face of Big Data are the result of an extraordinary artistic, technical, and logistical juggling act aimed at capturing the human face of the Big Data Revolution.

 

Big Data is defined as the real time collection, analyses, and visualization of vast amounts of the information. In the hands of Data Scientists this raw information is fueling a revolution which many people believe may have as big an impact on humanity going forward as the Internet has over the past two decades. Its enable us to sense, measure, and understand aspects of our existence in ways never before possible.

 

The Human Face of Big Data captures, in glorious photographs and moving essays, an extraordinary revolution sweeping, almost invisibly, through business, academia, government, healthcare, and everyday life. It’s already enabling us to provide a healthier life for our children. To provide our seniors with independence while keeping them safe. To help us conserve precious resources like water and energy. To alert us to tiny changes in our health, weeks or years before we develop a life-threatening illness. To peer into our own individual genetic makeup. To create new forms of life. And soon, as many predict, to re-engineer our own species. And we’ve barely scratched the surface . . .

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Can images stop data overload?

Can images stop data overload? | Creativity and learning | Scoop.it
With more and more of us feeling overwhelmed by the constant stream of information we have to deal with at work, could data visualisation provide an answer?

In a lab in Sussex a group of people have had their brainwaves scanned while completing a series of tasks, individually and in groups, to see if data visualisation - presenting information visually, in this case a series of mind maps - can help.

The results showed that when tasks were presented visually rather than using traditional text-based software applications, individuals used around 20% less cognitive resources. In other words, their brains were working a lot less hard.

As a result, they performed more efficiently, and could remember more of the information when asked later. Working in groups, they used 10% less mental resources.

The research was carried out by Mindlab International, an independent research company that specialises in neurometrics - the science of measuring patterns of brain activity through EEG, eye tracking and skin conductivity, which tracks emotions.

"The key reason we do the work that we do is that most of our decision making, yours and mine, goes on in the subconscious, or auto pilot or whatever we call it. Our cognitive brain can't actually deal with the bombardment of messages that are streamed to our bodies constantly all the time," says Duncan Smith, Mindlab International's managing director.

Individuals and groups had their brainwaves monitored as they completed tasks using visual mapping software compared with traditional applications

 

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Curating Information & Making Sense of Data Is a Key Skill for the Future [Research]

Curating Information & Making Sense of Data Is a Key Skill for the Future [Research] | Creativity and learning | Scoop.it

The Institute for the Future and the University of Phoenix have teamed up to produce, this past spring, an interesting report entitled Future Work Skills 2020.

 

 

Here the skills that information-fishermen of the future will need the most:

 

1) Sense-making

2) Social intelligence

3) Novel and adaptive thinking:

4) Cross-cultural competency:

5) Computational thinking:

6) New media literacy:

7) Transdisciplinarity:

8) Design mindset:

9) Cognitive load management:

10) Virtual collaboration:

 

 Curated by Robin Good

 

Executive Summary of the Report: https://docs.google.com/viewer?url=http%3A%2F%2Fapolloresearchinstitute.com%2Fsites%2Fdefault%2Ffiles%2Ffuture-work-skills-executive-summary.pdf 

 

Download a PDF copy of Future Work Skills 2020: https://docs.google.com/viewer?url=http%3A%2F%2Fapolloresearchinstitute.com%2Fsites%2Fdefault%2Ffiles%2Ffuture-skills-2020-research-report.pdf  


Via Robin Good, janlgordon, Angel Sobrino
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Beth Kanter's comment, December 20, 2011 7:34 PM
Thanks for sharing this from Robin's stream. These skills sets could form the basis of a self-assessment for would-be curators, although they're more conceptual - than practical/tactical. Thanks for sharing and must go rescoop it with a credit you and Robin of course
janlgordon's comment, December 20, 2011 7:56 PM
Beth Kanter
Agreed. It's also one of the articles I told you about....good info to build on:-)
Nevermore Sithole's curator insight, September 4, 2:34 AM

Curating Information and Data Sense-Making Is The Key Skill for the Future [Research]

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Introduction to Inforgraphics and Data Visualization, January 2013 | Knight Center for Journalism in the Americas

Introduction to Inforgraphics and Data Visualization, January 2013...

 

Registration is now open for the Knight Center's second MOOC (Massive Open Online Course). The course will formally begin on January 12, 2013 through February 23, 2013. Below are course details and how to register. The introductory area of the course is now available to enrolled students. The introductory area includes access to the course syllabus and the introductory overview video for the course.

Course Dates:

Saturday, January 12, 2013 - Saturday, February 23, 2013

Instructor:

Alberto Cairo

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Design = research. Interpreting data for design

The role of research is vital in any meaningful design effort. Design students can be either confused or indifferent to the demands of and requirements for research. Even for those who recognise the value of research the problem often comes at the point when it becomes necessary to make sense of all the information that’s been gathered. This short Prezi provides a simple overview of how data can be used and interpreted. It includes invented data for illustrative purposes as well as genuine examples of data interpretation as well as a YouTube clip from students who’ve undergone a research process.

The overriding lesson is that research should justify, substantiate and inform the design process.

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