Modelling
COVID-19
Achieving Collective Intelligence Through Ensembles
Scott E Page & MO 410 Students
UM-Ross
UM-Ross
This site provides an overview of how models are being used by policy makers and experts during the coronavirus pandemic. The site is a collaborative undergraduate class project of MO 410 Collective Intelligence from University of Michigan. On the site, we describe some of the models being used to explain data, communicate threats, predict outcomes, evaluate policy proposals, and guide action. To the extent possible, we explain these models in plain language using graphics to clarify their core assumptions and logics.
Each model provides a lens on the spread of the virus and the potential effects of policy choices and behavioral responses. As more data becomes available, these lenses become better calibrated enabling individuals, communities, organizations, and governments to take wiser actions and more clearly communicate the logic of policy choices. We also provide links to background reading and to other model websites. For up to the minute data on the spread of COVID-19, we recommend Johns Hopkins' site.
We undertook this collaboration with four goals in mind:
1) To demonstrate how models are helping to explain and predict the spread of the COVID-19 pandemic, how they enable clearer communication and how they are helping to design better policies.
2) To show how ensembles of models and diverse models lead to more robust understanding and policies.
3) To explain in clear language the key models.
4) To use our collective energies and intelligence to produce public knowledge.
The COVID-19 pandemic produces an ever increasing flow of information. Whether these many efforts to inform and educate will produce collective understanding, effective policies, and stronger communities remains to be seen. We hope our contribution helps in some small way toward achieving collective understanding, good behaviors, and effective policies.
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