BU COVID-19 Modeling: Insight on the Relative Impact of Interventions for Re-Opening a Large University in an Urban Environment

In support of Boston University's reopening for the Fall 2020 semester, we used agent-based network modeling to simulate possible outcomes under various proposed intervention strategies.  Results support the decision that it is possible, under full compliance, to reopen in a manner that keeps the university's infection rates on par with those of the surrounding community.

1. Gain a high-level understanding of the structure, data, and interventions incorporated into a university-level model for covid-19 transmission and control.
2. Appreciate what the results have to say regarding the relative impact of the various proposed interventions, particularly the cumulative impact of multiple interventions.
3. Understand the role that computing and IT infrastructure play in supporting large-scale simulation-based efforts of this type.