Convolutional reverb works by taking the sound of an impact (like a clap) in a room and applying it to any audio in order to make it sound like the audio was being played in the room, with all the echoes and artifacts the room imparts. Instead of a clap in a room, I used earthquake data in order to hear what audio would sound like being played through the Earth itself.
How can algorithmic music composition be used as a tool to help humans understand geological events and trends on a large time scale? I developed several musical algorithms to sonify the tremors triggered by the 2009 M8.1 earthquake in Samoa.
Direct: Each of the 88 tremor event-types map to one of the 88 keys on a piano.
Motif-mediated: Each tremor event-type is assigned an algorithmically- generated collection of notes to represent it.