The COVID-19 pandemic has produced massive amounts of information that require an accurate analysis to predict outcomes and design solutions rapidly. It also has required experts from many different backgrounds to rally around in the quest for rapid responses in the race to save lives.
Many of the most prominent of these researchers are from Michigan, and a significant number of them are computational scientists who addressed questions such as: What measures should be taken to minimize contagion? Is it safe to ride a bus? How are supply and demand chains being affected?
This virtual symposium brought together researchers from the state of Michigan to share their past and future insights into the pandemic.
Watch the recorded talks below, organized by session.

University of Michigan President Mark S. Schlissel
Sessions and Recordings

Session 1 | A Year in Review: Lessons Learned and Best Practices
Even as the first smattering of cases were being reported from around the world, Michigan researchers shot to the forefront of collecting data and building models to aid decision making in the state, the U.S. and abroad.

Session 2 | Moving into the Vaccine Era
Researchers are modeling the outcomes of vaccination strategies and their impacts on community-wide responses to the disease, including possibly permanent changes to certain aspects of daily life.

Session 3 | Modeling in a Campus Context
COVID-19 changed every aspect of our lives, and this was not different for higher education institutions. Modeling and simulation have been the backbone of a vast majority of the decision making and planning for campus activities.
Featured Online Resources
Many of the models and algorithms developed and used by the University of Michigan and Michigan State University researchers are available on-line. Here is a sample of them.
(If you are a U-M or MSU researcher and would like to add a link, please send an email to micde-events@umich.edu)

A Leader's Toolkit For Reopening
Lead: Scott E. Page
Professor of Business Administration, of Management and Organizations,
of Political Science, of Complex Systems and of Economics
University of Michigan

Optimization and Data Analytics Tools for Addressing COVID-19 Related Problems
Lead: Siqian Shen
Associate Professor of Industrial and Operations Engineering,
and of Civil and Environmental Engineering
University of Michigan

Opioids, COVID-19 and inequality
Author: Scott E. Page
Professor of Business Administration, of Management and Organizations,
of Political Science, of Complex Systems and of Economics
University of Michigan

Exploring Herd Immunity
Lead: Luis Zaman
Assistant Professor of Ecology and Evolutionary Biology, and of Complex Systems
University of Michigan

MI Safe Start Map
Lead: Sharon Kardia
Professor of Epidemiology,
and Paul Resnick
Professor of Information
University of Michigan
