System and simulation, 2017
Computational networks index the consumption of electrical energy, from global data centers that together consume more electricity than large countries, to the energy intensive proof-of-work consensus mechanism at the base of blockchain networks such as Bitcoin or Ethereum. In an effort to rethink the relationship between computation and energy, Phi proposes a digital jurisdiction focused on using peer-to-peer networks to distribute renewable energy resources. Social obligation, rather than the consumption of electricity, becomes the source of value and network stability. In the initial phase, a web-based simulation app enables people to explore potential effects of decentralised energy, currency, and governance on their lives. Later, Phi becomes a decentralised autonomous organisation (DAO) to facilitate investment in peer-to-peer energy networks that manage resources according to simulations and predictions of the climate system.
In collaboration with Cory Levinson, Aliaksandra Smirnova, Artem Stepanov, Aiwen Yin.