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36 | Data Art w/ Jer Thorp episode artwork

May 23, 2014 1 hr 17 min

36 | Data Art w/ Jer Thorp

from Data Stories Hosted by Enrico Bertini and Moritz Stefaner

Hey yo ... super cool guest today on Data Stories. We have data artist Jer Thorp for a whole episode on Data Art and Visualization. We managed to catch him before he leaves for a deep dive in a submarine next week. Jer is former artist in residence at New York Times R&D Labs and now he is the co-founder of the Office For Creative Research, a studio/lab that mixes science and art. Among many other things he is the creator of the algorithm and software tool "to aid in the placement of the nearly 3,000 names on the 9/11 Memorial in Manhattan" and Cascade, a tool to visualize "the sharing activity of New York Times content over social networks." In this episode we talk about his past and new projects, teaching art and vis and the many intersections between art and science. Links - The IEEE VIS'14 Art Program (that's going to be in Paris) - NYU ITP Data Art Course - Cascade (vis of NYT sharing activity) - Shakespeare Machine (earstudio | video on vimeo) - Jer's HBR article on "Visualization as Process, Not Output" - Collection of vis development process images from OCR - Example of Data Performance: Thousands of Exhausted Things (OCResearch and The Elevator Repair Service) - Hans Rosling's TED Talk "The Best Stats You've Ever Seen" - Eyeo Festival

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36 | Data Art w/ Jer Thorp

0:00 1:17:23

Chapters

  1. 0:00 Start
  2. 0:22 Intro
  3. 1:22 Enrico and Moritz catching up
  4. 2:35 IEEE 2014
  5. 3:02 IEEE Arts Program
  6. 3:42 Our guest: Jer Thorp
  7. 4:30 Intro to Jer
  8. 6:09 What is data art?
  9. 8:36 How do you teach data art?
  10. 18:35 ITP: Data art course
  11. 19:31 Teaching students visualization tools?
  12. 23:03 Office for Creative Research
  13. 24:40 NYT projects: Cascade & The Shakespeare Machine
  14. 28:20 Data art vs data science
  15. 30:36 Visualization as a Process
  16. 37:02 O.C.R. Process tumblr
  17. 41:08 Is there a market for digital art?
  18. 46:13 Data performance
  19. 54:18 Hans Rosling Gapminder
  20. 55:06 Artificial distinctions vs collaborations
  21. 1:00:51 Data is not a thing
  22. 1:10:59 Eyeo festival
  23. 1:11:32 Deep Sea Diving

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This episode is 1 hour and 17 minutes long.

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This episode was published on May 23, 2014.

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