jessykate / jessykate.github.io Goto Github PK

• consider something like 2D/night charge for non-fiat-stays?
• secondary market for D
• enough spaces to stay in the network is critical to maintaining the value of the currency
• incentive to
• local redistribution in a house

initial resource decisions: october

• who wants to back rooms until end of 2020
  • potential: fey, berlin flat, esf, tony and louise's vans
  • specify fluidity of rooms within specific to the locations
  • figure out local dynamics for each location (esf, fey, wilbur, berlin, vans...)
• figure out "backend" details
• survey of needs

run experiment: november and december

• gather lots of data and learn all the ways it breaks

review: dec. 31

• at 4D!

initial resource survey: rooms backing, where, fiat cost.

• will esf room
• will wilbur room
• athiye berlin 1 room
• david 1 room berlin
• jessica up to 8 rooms (number of rooms in biancourt)
• lou: backing room at ESF,
• jk and robbie: esf, wilbur (5 rooms between; staying until oct 18th)
• prima: backing a room at fey, paris apartment.
• anika: backing a room at fey nov and dec.
• tony: van
• louise: add 'sheila' (van) + stay at fey.
• olaf: floater + secondary market + breaking stuff ("RED TEAM")
• bea: thailand treehouse or fey TBD.

(* liuba and marc: work space not sleep space)

locational questions to answer:

• are DRFT rooms a specific room or just a specific number of rooms
• how or would income (D/Euro/$) be shared, waterfalled, or redistributed within locations?

Idea for simplification of shared understanding:

• to make network representation of the distributed residency, e.g. plot locations spatially embedded in space (networkx, geopandas, or https://maphub.net/map)
• to make interactive map, where it would be clear who traveled from where, e.g. from A to B, encoded as A->B, B->C.

Then this could help to understand who travels where and why.

if you set your price too high, no one will stay with you-- but i you only accept members (paying in D) then you will end up with too high a proportion of income without paying.