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The rise of music science

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Early look at an upcoming report I'm writing on how data is changing the face of data.

Published in: Technology

The rise of music science

  1. 1. SOLVEfor INTERESTING OTHERWISE LIFE IS DULL. MUSIC
 SCIENCE
  2. 2. Part one: How we got here
  3. 3. Sheet music
  4. 4. Mozart's flourishes
  5. 5. Recorded
 sounds
  6. 6. Physical goods
  7. 7. Broadcast
  8. 8. Advertising
  9. 9. Arbitron and
 radio data
  10. 10. Consumer recording
  11. 11. SOCAM
 & analog
  12. 12. Digital music
 & Internets
  13. 13. DRM, Gracenote, and interestingness
  14. 14. DRM, Gracenote, and interestingness
  15. 15. Streaming
  16. 16. Choice constraints (program vs. on-demand)
  17. 17. The economics of fickleness http://www.hypebot.com/hypebot/2014/05/music-adhd-users-love-the-skip-button-says-spotify-data-scientist.html
  18. 18. Part two: When you listen to music, it listens back.
  19. 19. We know what you did. All of it. http://i.imgur.com/pzfcYnh.jpg
  20. 20. We know you’re getting old. http://skynetandebert.com/2015/04/22/music-was-better-back-then-when-do-we-stop-keeping-up-with-popular-music/
  21. 21. We know music’s getting stupid. http://consequenceofsound.net/2015/05/the-lyrics-of-recent-no-1-singles-average-at-a-third-grade-reading-level/
  22. 22. We know music’s getting stupid. http://consequenceofsound.net/2015/05/the-lyrics-of-recent-no-1-singles-average-at-a-third-grade-reading-level/
  23. 23. IWe know how we got here. https://medium.com/the-physics-arxiv-blog/genetic-data-tools-reveal-how- pop-music-evolved-in-the-us-48ad60bf495b
  24. 24. Arbitron and radio data
  25. 25. Times a song in “heavy rotation” is played daily 0 15 30 2007 2012 266
  26. 26. Part three: The Turing Problems of Music Science
  27. 27. Saccading versus hearing
  28. 28. Overfitting recommendations
  29. 29. Detecting copies and covers
  30. 30. Collaboration and latency
  31. 31. Prediction breaks the bank
  32. 32. Blockbusters and long tails
  33. 33. The tension between
 creativity and optimization
  34. 34. Should we expose the API?
  35. 35. Part four: Where we're headed
  36. 36. From albums to stubs
  37. 37. Human/
 machine hybrids
  38. 38. http://www.musicbusinessworldwide.com/the-inventor-of-google-maps-wants-to-change-the-way-you-listen-to-music/ From player to composer
  39. 39. Feedback loops and biometrics
  40. 40. The perfect drone
  41. 41. Ultimately, digital isn’t about copying.
 It’s about feedback loops.
  42. 42. An engine, not a camera

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