This hands-on, team-based competition workshop invites participants to build and refine predictive models of viral epidemics under realistic constraints, including incomplete and noisy data. Over three days, teams will be challenged to generate forecasts for simulated influenza outbreaks.
Participants are encouraged to apply a range of modeling approaches, from mechanistic to statistical and machine learning methods, to interpret data, uncover underlying dynamics, and improve predictions over time. The goal is to foster creativity, rigor and critical thinking in epidemic forecasting, echoing the complexities and uncertainties faced in real-world public health response.
Workshop Dates
June 3–June 6, 2026
Location
Georgia State University, Atlanta, GA
Application Deadline
Monday, April 22, 2026
Funding
Limited travel funds are available and housing is provided in GSU dorms.
Contact
Website
Modeling the Invisible Workshop website
Loading...
Reload document 
Open in new tab