Hope/Fear is an installation that uses live-streamed data from twitter to play melodies on singing bowls dependant on the mood of the world. If the world is more fearful the melodies will descend, if it is more hopeful, the melodies ascend.

The main brains of this installation is run on a Raspberry Pi, with a custom python script that streams twitter data and finds instances of the words hope or fear in every tweet, in real time.

The python script then sends information to a puredata patch which tracks the instances of each word and generates a midi melody based on the fearfulness or hopefulness of twitter as a whole.
The midi then gets sent through a DADA Machines Automat, which converts midi notes into electrical signals and drives an array of solenoids attached to piano hammers. These hammers strike a series of singing bowls of varying notes.

This project came about as an exploration of interactivity and data handling. It was interesting to see how these two opposing words trend and how Hope doesn't always have a positive connotation.