Team: Calum Bowden, Cory Levinson, Aliaksandra Smirnova, Artem Stepanov, Aiwen Yin

Computational networks index the consumption 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.