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literary_art_on_the_web.md

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Literary Art on teh Web

@supergsp

Why

  • understand ourselves
    • people in data, data in the perspective of people
    • humanities see tech as foreign
    • tech excludes humanities
    • make them fall in love
  • understand the systems to which we are subjected and to which we subject others
    • in the current state of systems, there is a defensive nature to the way data is being use
    • data art as a way of helping explain and elaborate on systems
  • expand our horizons
    • experiment with data visualizations
    • non-standard methods
    • useful
    • positive
    • attractive
  • it's fun

Types

  • Artisinal Data
    • Traits
      • Small
      • Fragmented
      • Incomplete
      • Bound by imagination
      • Narratives
    • Examples
      • "First Chapters" Stefanie Posavec
        • Showing formulaic examples of how first chapters work
      • "Day in the Life" Chris Whong
        • Full day of a taxi driver's travel
        • Tracking of fare in the cab
      • "Quantified Breakup" Lam Thuy Vo
        • Standard visualizations used for divorce
      • "Timeline of Neglect" by the speaker
        • Aging of unread books on the shelf
  • Questions Who speaks? to whom when what language to what authority

Who sees?

  • Language as Data
    • Traits
      • Translation in the realm of abstraction/absurdity
    • Examples
      • "Patatap" Jonobr1 + lullatone
      • "Patent Generator" Sam Levine
      • Bots (@TwoHeadlines @gameideamachine)
      • Looking for holes in Gov't Documents - Davide Bonazzi for Columbia Magazine

Where to start

  • What do you love that has nothing to do with tech?
  • What system has assumptions do you want to explore?
  • Are there tools you want to play with?
    • d3.js
  • Can you remake something beautiful driven by data?

Process

  • Sketch
    • on paper
    • enjoyable images
  • Gather data
  • Test data / fail / repeat / revise
  • Make it work, show others

Interactive Data Visualization d3.js in action irene ros