This site exists so that anyone with spare CPU cycles can help create a better model for disease spread.

    docker run xtellurian/pandemic

You can help us explore the parameter space
Crowdsourced data for crowdsourcing of algorithms
See this article about the generative model. A surrogate model is trained using painstakingly computed simulations from a generative model for cities and movements of people. We need help running the simulations many times for many different parameters and initial conditions. See the Wikipedia article on surrogate models.

When you run a simulation it enters a database and will eventually find its way into a live stream that is competitively predicted by different time series algorithms. In other words, we crowd-source simulations and then crowd-source models that approximate them as well.

Articles and working papers
More articles and working papers here.

Run using docker
Get docker here if you don't have it then from terminal/shell
    docker run xtellurian/pandemic
Run in a notebook
Run this notebook in Colab. It will stop after a while, however.
Run it from a bash script (Mac/Linux)
Cut and paste this bash script in a terminal (here's how to find your terminal:-).
What if the script doesn't work or I use windows?
You may be able to use the Python pandemic package directly. pip install pandemic, then pandemic.run()
Questions and Troubleshooting
Try the FAQ or file an issue.