Computing Our Way Out of a Pandemic: Modeling in the Face of COVID-19
Online in Zoom
Online in Zoom

This event occurs in sessions, which will also be individually listed. 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 will bring together researchers from the State of Michigan to share their past and future insights into the pandemic. This is a free Zoom event, open to the general public. Please register to attend.

 

Schedule of Events

9:00 A.M. | SESSION 1 | A YEAR IN REVIEW: LESSONS LEARNED AND BEST PRACTICES

9:00 A.M. — F. DuBois Bowman (Dean, School of Public Health, Professor, Biostatistics, University of Michigan) OPENING REMARKS
9:10 A.M. — Bhramar Mukherjee (Biostatistics and Epidemiology, U-M) Predictions, Role of Interventions and the Crisis of Virus in India: A Data Science Call to Arms
9:30 A.M. — Jonathan Zelner (Epidemiology, University of Michigan)
9:50 A.M. — Joseph Eisenberg (Epidemiology, U-M) Trade-offs between quarantine length and compliance when optimizing COVID-19 control
10:10 A.M. — Break
10:20 A.M. — Peter Song (Biostatistics, University of Michigan)
10:40 A.M. — Sabrina Corsetti & Thomas Schwarz (Physics, U-M) Data-driven Modeling of the COVID-19 Pandemic Using Penalized Linear Regression
11:00 A.M. — Andrew Brouwer (Epidemiology, U-M) Modeling to Guide Early COVID-19 Policy: Forecasts, Scenarios, and Counterfactuals
11:20 A.M. — Break

11:30 A.M. | SESSION 2 | MOVING INTO THE VACCINE ERA

11:30 A.M. — Remarks: Computational Science in the times of COVID-19
11:35 A.M. — Siqian Shen (Industrial and Operations Engineering, & Civil and Environmental Engineering, U-M) Decision Models for Resource Allocation, Preparation and Response to
Future COVID-19 Infection Uncertainty and other Disease Outbreaks
11:55 A.M. — Jim Koopman (Epidemiology, U-M) & Carl Simon (Mathematics, Complex Systems, & Public Policy, U-M) Modeling SARS-CoV-2 Vaccine Control of Variant Viruses
12:15 P.M. — Lisa Prosser (Pediatrics, & Health Management and Policy, University of Michigan) & David Hutton (Health Management and Policy, University of Michigan)
12:35 P.M. — BREAK

1:00 P.M. | SESSION 3 | MODELING IN A CAMPUS CONTEXT

1:00 P.M. — President Mark S. Schlissel
SESSION 3 OPENING REMARKS
1:05 P.M. — Marisa Eisenberg (Epidemiology, Complex Systems, & Mathematics, University of Michigan)
1:35 P.M. — Jesse Capecelatro (Mechanical Engineering, U-M) Addressing challenges of COVID-19 through the lens of fluid dynamics
1:55 P.M. — Gustavo de los Campos (Epidemiology and Biostatistics, Michigan State University) & Jade Mitchell (Biosystems & Agricultural Engineering, Michigan State University)
2:15 P.M. — BREAK
2:25 P.M. — Jenna Wiens (Computer Science and Engineering, U-M) Identifying Patients at Greatest Risk of Complications from COVID-19
2:45 P.M. — Luis Zaman (Ecology and Evolutionary Biology, & Complex Systems, University of Michigan) Learning to Swim in the Sea: Lessons for a Post-2020 World
3:05 P.M. — Seth Guikema (Industrial and Operations Engineering, & Civil and Environmental Engineering, University of Michigan)
3:25 P.M. — BREAK
3:30 P.M. | PANEL DISCUSSION--Moderated by Emily Martin (Epidemiology, University of Michigan)

 

 
Department of Epidemiology (School of Public Health) and the Michigan Institute for Computational Discovery & Engineering (MICDE)

Computing Our Way Out of a Pandemic: Modeling in the Face of COVID-19

This virtual symposium will bring together researchers from the State of Michigan to share their past and future insights into the pandemic.

icon to add this event to your google calendarMay 6, 2021
9:00 am - 4:30 pm
Online in Zoom
Sponsored by: Department of Epidemiology (School of Public Health) and the Michigan Institute for Computational Discovery & Engineering (MICDE)
Contact Information: Lacey Hoffman, lahoffma@umich.edu

More Information & Registration

This event occurs in sessions, which will also be individually listed. 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 will bring together researchers from the State of Michigan to share their past and future insights into the pandemic. This is a free Zoom event, open to the general public. Please register to attend.

 

Schedule of Events

9:00 A.M. | SESSION 1 | A YEAR IN REVIEW: LESSONS LEARNED AND BEST PRACTICES

9:00 A.M. — F. DuBois Bowman (Dean, School of Public Health, Professor, Biostatistics, University of Michigan) OPENING REMARKS
9:10 A.M. — Bhramar Mukherjee (Biostatistics and Epidemiology, U-M) Predictions, Role of Interventions and the Crisis of Virus in India: A Data Science Call to Arms
9:30 A.M. — Jonathan Zelner (Epidemiology, University of Michigan)
9:50 A.M. — Joseph Eisenberg (Epidemiology, U-M) Trade-offs between quarantine length and compliance when optimizing COVID-19 control
10:10 A.M. — Break
10:20 A.M. — Peter Song (Biostatistics, University of Michigan)
10:40 A.M. — Sabrina Corsetti & Thomas Schwarz (Physics, U-M) Data-driven Modeling of the COVID-19 Pandemic Using Penalized Linear Regression
11:00 A.M. — Andrew Brouwer (Epidemiology, U-M) Modeling to Guide Early COVID-19 Policy: Forecasts, Scenarios, and Counterfactuals
11:20 A.M. — Break

11:30 A.M. | SESSION 2 | MOVING INTO THE VACCINE ERA

11:30 A.M. — Remarks: Computational Science in the times of COVID-19
11:35 A.M. — Siqian Shen (Industrial and Operations Engineering, & Civil and Environmental Engineering, U-M) Decision Models for Resource Allocation, Preparation and Response to
Future COVID-19 Infection Uncertainty and other Disease Outbreaks
11:55 A.M. — Jim Koopman (Epidemiology, U-M) & Carl Simon (Mathematics, Complex Systems, & Public Policy, U-M) Modeling SARS-CoV-2 Vaccine Control of Variant Viruses
12:15 P.M. — Lisa Prosser (Pediatrics, & Health Management and Policy, University of Michigan) & David Hutton (Health Management and Policy, University of Michigan)
12:35 P.M. — BREAK

1:00 P.M. | SESSION 3 | MODELING IN A CAMPUS CONTEXT

1:00 P.M. — President Mark S. Schlissel
SESSION 3 OPENING REMARKS
1:05 P.M. — Marisa Eisenberg (Epidemiology, Complex Systems, & Mathematics, University of Michigan)
1:35 P.M. — Jesse Capecelatro (Mechanical Engineering, U-M) Addressing challenges of COVID-19 through the lens of fluid dynamics
1:55 P.M. — Gustavo de los Campos (Epidemiology and Biostatistics, Michigan State University) & Jade Mitchell (Biosystems & Agricultural Engineering, Michigan State University)
2:15 P.M. — BREAK
2:25 P.M. — Jenna Wiens (Computer Science and Engineering, U-M) Identifying Patients at Greatest Risk of Complications from COVID-19
2:45 P.M. — Luis Zaman (Ecology and Evolutionary Biology, & Complex Systems, University of Michigan) Learning to Swim in the Sea: Lessons for a Post-2020 World
3:05 P.M. — Seth Guikema (Industrial and Operations Engineering, & Civil and Environmental Engineering, University of Michigan)
3:25 P.M. — BREAK
3:30 P.M. | PANEL DISCUSSION--Moderated by Emily Martin (Epidemiology, University of Michigan)