COVID-19 demonstrated the powerful impact pandemics have on society and the continued need for vigilance and innovation in preparing for and responding to future pandemics. Vast data resources exist that could be helpful for prediction, response, and monitoring of future pandemics. The “Data-Driven Approaches to Prevent the Next Pandemic” series will focus on data driven approaches to address these important questions. Co-sponsored by the Boston University School of Public Health Population Health Data Science Program & the Center for Emerging Infectious Diseases Policy & Research (CEID)

Wednesday April 12, 2023
11:00am-12:00pm
Mark Lurie
Associate Professor of Epidemiology and Director of the International Health Institute
Brown University
Using Mobility and Social Mixing Data to Predict and Prevent Future Pandemics
Hybrid Event Location: 8 Saint Mary’s Street, Room 906, or Zoom
Access the recorded event here.

Tuesday, May 2, 2023
1:00pm-2:00pm
John Drake
Regents’ Professor, Distinguished Research Professor. and Director of the Center for the Ecology of Infectious Diseases
University of Georgia
Modeling and Analytics for Infectious Disease Intelligence
Hybrid Event Location: 665 Commonwealth Ave, Room 1750, or Zoom

Friday, May 5, 2023
11:00am-12:00pm
Lauren Meyers
Cooley Centennial Professor and Director of the Center for Pandemic Decision Support
University of Texas at Austin
Virtual Event Location: Zoom.
Access the recorded event here.