Public Art class 9

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Week 9 (April 2)

FOR PUBLIC CONSUMPTION Schedule

  • 3/21  Scott Dickens
  • 3/26  Leo Selvaggio
  • 3/30  Dennis Burke
  • 4/2  Greg Browe
  • 4/5 Justin Botz, Tom Ruiz
  • 4/8  Graham Heath, Adrienne Canzolino
  • 4/12  Folleh Tamba
  • 4/15 Scott Dickens
  • 4/18  Graham Heath, Adrienne Canzolino
  • 4/22  Dennis Burke
  • 4/24  Leo Selvaggio
  • 4/26  Justin Botz, Tom Ruiz
  • 4/29  Greg Browe
  • 4/30  Folleh Tamba


Reminders:

how are you doing on your grant/call for entry? site visit in 2 weeks

To look at: Chicago Cultural Plan: [1]

Data and Scientific Visualization

in preparation for visiting artist Andrea Polli


Marshall McLuhan The medium is the message (medium understood as a technology)

“the medium itself that shaped and controlled the scale and form of human association and action”. people tend to focus on the obvious, which is the content, to provide us valuable information, but in the process, we largely miss the structural changes in our affairs that are introduced subtly, or over long periods of time.” [2]

Visualization: making something clear by showing another aspect of the phenomenon

Edward Tufte: information design, design of visual artifacts book [3] highlights of talk: [4]

Something normally invisible: sneeze [5]

Making functional objects from algorithms: sheldon brown[6]

Lev Manovich [7]

  • Lev Manovich talks about his project of cultural analysis: [8]
  • cultural analytics: [9]
  • video animations of data [10]

Inigo Manglano Ovalle

Ben Rubin: Listening Post [14]

Roger Malina on big data: [15]

“As many have pointed out big data is not just more data. Historian of Science Daniel Boorstin called this an ‘epistemological inversion’. What he meant was that the way that science could be done was changing. When Charles Darwin went onto his journeys to the Galápagos he was in search of new data. Data were rare; indeed all of Charles Darwin’s data that transformed our understanding of human nature fit into a series of notebooks on his study book shelf. When data becomes plentiful, it changes the way that most scientists do their work. They can study archives instead of studying the world. “

Golan Levin projects: [16]

  • Axis: [17]
  • secret lives of numbers: [18]
  • dance data, Merce Cunningham: [19]

tools for preparation/pre-production

pre-visualization example: VRML model of space [[20]]

planning tool: projector throw calculator [[21]]

Site Survey form [[22]]


Resource

Essay, primer [23]