SOLVEforINTERESTINGOTHERWISE LIFE IS DULL.

MUSICSCIENCE

Part one: How we got here

Sheet music

Mozart's flourishes

Recordedsounds

Physical goods

Broadcast

Advertising

Arbitron andradio data

Consumer recording

SOCAM& analog

Digital music& Internets

DRM, Gracenote, and interestingness

DRM, Gracenote, and interestingness

Streaming

Choice constraints (program vs. on-demand)

The economics of fickleness

http://www.hypebot.com/hypebot/2014/05/music-adhd-users-love-the-skip-button-says-spotify-data-scientist.html

Part two: When you listen to music, it listens back.

We know what you did. All of it.

http://i.imgur.com/pzfcYnh.jpg

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/

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/

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/

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

Arbitron and radio data

Times a song in “heavy rotation” is played daily

0

15

30

2007 2012

266

Part three: The Turing Problems of Music Science

Saccading versus hearing

Overfitting recommendations

Detecting copies and covers

Collaboration and latency

Prediction breaks the bank

Blockbusters and long tails

The tension betweencreativity and optimization

Should we expose the API?

Part four: Where we're headed

From albums to stubs

Human/machine hybrids

http://www.musicbusinessworldwide.com/the-inventor-of-google-maps-wants-to-change-the-way-you-listen-to-music/

From player to composer

Feedback loops and biometrics

The perfect drone

Ultimately, digital isn’t about copying.It’s about feedback loops.

An engine, not a camera