Modeling Dollar and Community Currency Flows in a Virtual US County Using Python

John Boik is the author of the new book "Economic Direct Democracy: A Framework to End Poverty and Maximize Well-Being." John will delve into his Python-based simulation model of flows of the dollar and a proposed community currency (called the token) in a virtual US county.  He gives background on the proposed community currency system, called the Token Exchange System, explores how the model is structured, presents modeling results, and discusses potential social impact as guided and informed his book's thesis. As a hint of scale and potential impact, annual currency flows in the simulation model are measured in the billions.  A global partnership of interested academic, civil society, government, business, and foundation groups is now forming to move the book's proposal forward.

Simulation model backgroundhttp://www.principledsocietiesproject.org/simulation-model/

Python TES-simulation Packagehttps://pypi.python.org/pypi/TES-simulation

Project and book detailshttp://www.principledsocietiesproject.org/

Our meetup is located at the Stag's Head Pub, near Richmond and Shepherd. Please enjoy their menu and drink offerings, so they continue to enjoy hosting us! Lastly, please RSVP (even if you're a "Maybe"!) to assist us with capacity planning.

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  • Kojo I.

    Glenn, can you send me the link to that web comic you showed me about game development?

    July 19

    • Glen Z.

      I have no idea where that was. I found it on reddit in /r/gaming I think

      July 19

  • Gene D.

    This is my last meetup with you guys :-(

    I'm moving to Chicago and will be joining ChiPy next month.

    2 · July 10

    • Karl U.

      Best of luck in Chicago!

      July 13

    • A former member
      A former member

      You will like their Python community...there is always something happening.

      July 15

  • Karl S.

    Karl U,
    If you need a presentation, I can present:
    Prototyping a Geophysical Algorithm in Python : The Spitz-Prony Noise Attenuation. I presented it yesterday at SciPy
    Karl S

    1 · July 11

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