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Emily Holm

The British Library Big Data Experiment - Digital scholarship blog - 0 views

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    "The British Library Big Data Experiment"
Lisa Eriksen

Video from a dystopian future: how location data can be abused - Boing Boing - 0 views

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    Wow, this is scary, but not incomprehensible....
Lisa Eriksen

New 'time cloak' can hide almost half of the data in its path, but even recipients can'... - 0 views

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    You can cloak the data, but it disappears?
David Bloom

The Promise and Peril of the 'Data-Driven Society' - NYTimes.com - 0 views

  • Up to now, the focus on the power and implications of Big Data technology has been involved social media, business decision-making and online privacy. Those are big subjects in their own right. So it’s not surprising that the notion of a data-driven society has not been much considered.
David Bloom

5x5x5: Rick Smolan Of 'The Human Face Of Big Data' Talks About Transformative Tech - 0 views

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    Five guests from a variety of sectors will answer questions on how technology and innovation can be used for social good.
Lisa Eriksen

CLOUDS Interactive Documentary on Digital Art - 0 views

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    Cool video on data art and crowd-scorce documentary
Ruth Cuadra

The promise and peril of 'Big Data' - latimes.com - 1 views

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    Interesting take on thinking beyond privacy issues when considering regulations about recording information about Internet usage. "Regulators need to take care not to treat the analysis of anonymized information as if it were an ominous new form of surveillance."
David Bloom

Data in a human context - 0 views

  • Data in a human context March 6, 2012 to Data Art  •  Comments (3)  •  Share on Twitter Jer Thorp, a data artist in residence at The New York Times, shows off some of his work (like this and this) and speaks about the connection between the real world and the mechanical bits we know as data. Worth your 17 minutes.
  • a data artist in residence at The New York Times, shows off some of his work (like this and this) and speaks about the connection between the real world and the mechanical bits we know as data.
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    Gets to the human context at ~13:30 mins. Great illustration of how to make meaning from the seemingly meaningless, or at least from data that we don't usually connect to our daily experience.
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