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File:Martin Wattenberg- Interview Excerpts from CLOUDS (2014).webm

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Original file (WebM audio/video file, VP9/Opus, length 25 min 24 s, 1,280 × 1,200 pixels, 2.03 Mbps overall, file size: 369.07 MB)

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English: This video presents excerpts of raw interview footage from CLOUDS (2014). Directed by Jae Minard and James George, CLOUDS is an interactive, generative, computational documentary that allows the viewer to explore different perspectives on the intersection of code and culture. Filmed using the RGBD 3D cinema format and created entirely with open-source software, CLOUDS uses a data-driven story engine to present an endless, ever-changing conversation about the role of computational thinking in contemporary arts and design. More information is at cloudsdocumentary.com.

Martin Wattenberg (@wattenberg) focuses on visual explorations of culturally significant data. He has a particular interest is using visual tools to foster collaboration and discovery. He and collaborator, Fernanda Viegas, lead Google's 'Big Picture' data visualization group in Cambridge, MA. Exploring topics such as social networks and collaboration. [2014 Biography]

00:05 1. Revelation
00:13 2. Inflation not that interesting
00:37 3. data revelation
01:48 4. revelatory learning
02:02 5. birds eye view
02:30 6. I can see my house from here
03:24 7. baby names
03:40 8. Zooming is critical
04:02 9. Seeing the whole 1
05:12 10. seeing the whole 2
05:34 11. limits of computation
06:13 12. seeing thought 1
06:47 13. seeing thought 2
06:59 14. what the world is thinking
08:21 15. ubiquitous connectivity
09:10 16. spread ideas
09:38 17. Are we getting smarter?
10:04 18. Math getting better
10:30 19. Are we getting smarter 2
10:51 20. getting weirder
11:28 21. deeper learning
11:54 22. lolcats
12:22 23. rapid dissemination of info
13:15 24. Net art
13:36 25. looking at art
14:15 26. short attention span
14:23 27. starry night
14:42 28. evolution of interfaces
15:41 29. spiral interface
16:29 30. useful only
17:34 31. simple elegant prose
17:49 32. flickr flow
18:20 33. all the words
18:57 34. verbal programming debate
19:45 35. visualizing language
20:02 36. language is like code
20:15 37. language and infinity
20:46 38. words and numbers
21:33 39. Big data 1
22:00 40. Big data
23:36 41. Statistics
24:34 42. how to make us smarter

Directors: Jae Minard and James George
Executive Producer: Golan Levin (CMU) Producer: Winslow Porter

Design Director: Bradley G Munkowitz
Date
Source YouTube: Martin Wattenberg: Interview Excerpts from CLOUDS (2014) – View/save archived versions on archive.org and archive.today
Author The Frank-Ratchye STUDIO for Creative Inquiry

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This file, which was originally posted to YouTube: Martin Wattenberg: Interview Excerpts from CLOUDS (2014) – View/save archived versions on archive.org and archive.today, was reviewed on 24 January 2026 by reviewer MZaplotnik, who confirmed that it was available there under the stated license on that date.

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Media of the day This file was selected as the media of the day for 26 January 2026. It was captioned as follows:
English: Interview with Martin M. Wattenberg, made for a documentary Clouds (2014) that explores different perspectives on the intersection of code and culture.
Wattenberg is an U.S. American scientist and artist known for his work with data visualization. He is currently the Gordon McKay Professor of Computer Science at the Harvard University School of Engineering and Applied Sciences. He talks about visual explorations of and insights from culturally significant data.
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English: Interview with Martin M. Wattenberg, made for a documentary Clouds (2014) that explores different perspectives on the intersection of code and culture.
Wattenberg is an U.S. American scientist and artist known for his work with data visualization. He is currently the Gordon McKay Professor of Computer Science at the Harvard University School of Engineering and Applied Sciences. He talks about visual explorations of and insights from culturally significant data.

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Date/TimeThumbnailDimensionsUserComment
current12:31, 28 July 202425 min 24 s, 1,280 × 1,200 (369.07 MB)Vysotsky (talk | contribs)Imported media from https://www.youtube.com/watch?v=4X8rpuIp5PI

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Format Bitrate Download Status Encode time
VP9 1080P 2.89 Mbps Completed 14:48, 28 July 2024 1 h 57 min 46 s
VP9 720P 1.56 Mbps Completed 14:40, 28 July 2024 1 h 54 min 16 s
VP9 480P 777 kbps Completed 13:57, 28 July 2024 1 h 11 min 6 s
VP9 360P 497 kbps Completed 13:38, 28 July 2024 56 min 37 s
VP9 240P 285 kbps Completed 13:03, 28 July 2024 22 min 39 s
WebM 360P 680 kbps Completed 13:06, 28 July 2024 23 min 6 s
QuickTime 144p (MJPEG) Not ready Added to Job queue 1 year, 71 days, 14 hours, 35 minutes and 29 seconds ago

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