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Why Scientists Need to Learn How to Share - 1 views

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    "THE EDITORS OF THE Public Library of Science (PLOS) family of scientific journals recently decided to give their authors much more specific instructions for sharing data. They announced that "authors must make all data publicly available, without restriction, immediately upon publication of the article." They defined data as "any and all of the digital materials that are collected and analyzed in the pursuit of scientific advances," and now require authors to provide a "data availability statement" that serves the purpose of "describing where and how others can access each dataset that underlies the findings.""
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Researchers Go Global: Preparing the Next Generation of Innovators (EDUCAUSE Review) | ... - 0 views

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    "Big data, while a term that is in common use, is a bit of a misnomer: big data is not simply a matter of size. The notion of big data comprises volume, size, and velocity, and also poses the questions of how to move large data sets around and define a vision that makes sense of them.3"
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Take A Look Inside The Infographic Mega-Tome, "Knowledge Is Beautiful" | The Creators P... - 0 views

  • “I start with the idea, and usually a question. Something that typically stupefies me, bewilders me, or frustrates me,” McCandless tells The Creators Project in an interview. “And then the question becomes a concept, and the concept becomes a graphic.”
  • A great and effective data visualization begins with an accurate and well-structured data set, a compelling story and an intention or a goal for getting the information across, explains McCandless. The visual structure comes into play only at the end of the research stage, following the pages and pages of spreadsheets a reader never gets to see. “This work is about 80% research and 20% design,” he explains.
  • He felt he could relate.
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  • “A lot of people just visualize complex data,” says McCandless. “They’ll take the data without wrapping it in a story, filtering it in any way, humanizing it, or focusing on what’s interesting. Without doing that, you just translate the complexity into visual form.” A complex visualization is counterintuitive, he adds, because its purpose is to clarify and distill data. The strength of an idea is what carries it through each precise stage of the creation process, from data gathering through structuring and designing.
  • With visual language, McCandless can cut through the noise in information overload, uncover the insights locked within data, and decode the self-referential language that pervades knowledge.
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    dataviz project for ECAR stats
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Data Visualization With Knoema - ProfHacker - Blogs - The Chronicle of Higher Education - 0 views

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    "For the casual user, Knoema seems to provide a quick and easy way to visualize data."
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rOpenSci - Open Tools for Open Science - 0 views

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    "At rOpenSci we are creating packages that allow access to data repositories through the R statistical programming environment that is already a familiar part of the workflow of many scientists. Our tools not only facilitate drawing data into an environment where it can readily be manipulated, but also one in which those analyses and methods can be easily shared, replicated, and extended by other researchers."
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The Old Answer to Humanity's Newest Problem: Data | TIME - 1 views

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    "We're rich in data-but the returns are diminishing rapidly, because after a certain point the more information you have, the harder it becomes to extract meaning from it. Ironically, an excess of information resists analysis and comprehension in much the same way a lack of it does. As a result, the more that new technology floods our world with complex information, the more we end up calling on a much older field of human endeavor, one that has always been devoted to making complexity comprehensible and extracting meaning from chaos, namely, art. "
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When Maps Shouldn't Be Maps | Matthew Ericson - ericson.net - 0 views

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    "But sometimes the reflexive impulse to map the data can make you forget that showing the data in another form might answer other - and sometimes more important - questions. So, when should you use a form other than than a map?"
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DataBasic.io - 0 views

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    "DataBasic is a suite of easy-to-use web tools for beginners that introduce concepts of working with data. These simple tools make it easy to work with data in fun ways, so you can learn how to find great stories to tell."
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Can Students Have Too Much Tech? - NYTimes.com - 3 views

  • “Students who gain access to a home computer between the 5th and 8th grades tend to witness a persistent decline in reading and math scores,” the economists wrote, adding that license to surf the Internet was also linked to lower grades in younger children.In fact, the students’ academic scores dropped and remained depressed for as long as the researchers kept tabs on them. What’s worse, the weaker students (boys, African-Americans) were more adversely affected than the rest. When their computers arrived, their reading scores fell off a cliff.
  • We don’t know why this is, but we can speculate. With no adults to supervise them, many kids used their networked devices not for schoolwork, but to play games, troll social media and download entertainment. (And why not? Given their druthers, most adults would do the same.)
  • Babies born to low-income parents spend at least 40 percent of their waking hours in front of a screen — more than twice the time spent by middle-class babies. They also get far less cuddling and bantering over family meals than do more privileged children. The give-and-take of these interactions is what predicts robust vocabularies and school success. Apps and videos don’t.
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  • One Laptop Per Child
  • But the program didn’t live up to the ballyhoo.
  • it is worth the investment only when it’s perfectly suited to the task, in science simulations, for example, or to teach students with learning disabilities.
  • technology can work only when it is deployed as a tool by a terrific, highly trained teacher.
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    link to ECAR findings
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Information is Beautiful Awards - 1 views

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    Interesting to see different approaches to the same data and how people build compelling and understandable data visualizations.
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On meta-design and algorithmic design systems - 0 views

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    " Design is how it works and sketching in code is the only natural way to prototype a dynamic system. Building even the simplest of data visualizations means hours of work in languages like R, Julia or Python. When your content is data, poking around in Photoshop simply makes no sense. In some way, it's the direct opposite of design: prettifying without context. One important aspect of modern design products is their increasing demand for temporal logic, where a linear narrative is replaced by a set of complex states."
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The Architecture of a Data Visualization - Accurat studio - Medium - 0 views

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    "he clarity does not need to come all at once, however; we also like the idea of providing several and consequent layers of exploration on the multiple dataset we analyze. We call it a "non-linear storytelling" where people can get lost in singular elements, minor tales, and last-mile textual elements within the greater visualization."
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Online Test-Takers Feel Anti-Cheating Software's Uneasy Glare - NYTimes.com - 0 views

  • Proctortrack, however, seems to impose more onerous strictures on students than a live proctor would. Among other things, it requires students to sit upright and remain directly in front of their webcams at all times, according to guidelines posted on the company’s site.“Changes in lighting can flag your test for a violation,” the guidelines say. And, “Even stretching, looking away, or leaning down to pick up your pencil could flag your test.”
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Doubts About Data: 2016 Survey of Faculty Attitudes on Technology - 0 views

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    "The findings also show faculty members are creating new opportunities with technology. Through experimentation with online education, for example, faculty members say they are able to serve a more diverse set of students and think more critically about how to engage students with course content, and with free and open course materials, they say they are increasing access to education."
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2015 Human Development Report - 2 views

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    nice data presentation
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The impact of Urbanization in East Asia - Visual Cinnamon - 1 views

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    Slick data visualization
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The botmaker who sees through the Internet - Ideas - The Boston Globe - 0 views

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    "Kazemi is part of a small but vibrant group of programmers who, in addition to making clever Web toys, have dedicated themselves to shining a spotlight on the algorithms and data streams that are nowadays humming all around us, and using them to mount a sharp social critique of how people use the Internet-and how the Internet uses them back. By imitating humans in ways both poignant and disorienting, Kazemi's bots focus our attention on the power and the limits of automated technology, as well as reminding us of our own tendency to speak and act in ways that are essentially robotic. While they're more conceptual art than activism, the bots Kazemi is creating are acts of provocation-ones that ask whether, as computers get better at thinking like us and shaping our behavior, they can also be rewired to spring us free. "
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If you want to learn to build the web, start by building your community - 3 views

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    "The idea behind Open Lab Hours is simple: create a space for students interested in journalism and technology to gather and work on projects. All are welcome. Some students come with the most basic questions, like "What's the internet?", while more advanced students come to debug projects, or hack on interactive and data stories for student publications. The key has been to create a community for people who want to learn. With a safe space for beginners, rookies and advanced folks to work together, relationships are naturally formed between students with varying skill levels. These relationships help newbies learn while providing more advanced students with the capacity to teach and develop new project ideas."
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    What we're trying to do with Agora: "The idea behind Open Lab Hours is simple: create a space for students interested in journalism and technology to gather and work on projects. All are welcome. Some students come with the most basic questions, like "What's the internet?", while more advanced students come to debug projects, or hack on interactive and data stories for student publications. The key has been to create a community for people who want to learn. With a safe space for beginners, rookies and advanced folks to work together, relationships are naturally formed between students with varying skill levels. These relationships help newbies learn while providing more advanced students with the capacity to teach and develop new project ideas."
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