We are delighted to announce an upcoming competition workshop on “Modeling the Invisible, Competition on Forecasting Viral Spread with Limited Data”. 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: July 29 – August 1, 2025
Location: Georgia State University, Atlanta, GA
Application Deadline: Monday June 16, 2025
Funding: Limited travel funds are available, and housing is provided in GSU dorms.
Contact: invisibleworkshop@gsu.edu
Web: https://sites.google.com/iu.edu/modelingtheinvisibleworkshop/
This competition workshop is supported by the IMAG/MSM Viral Pandemics Working Group, the GLIMPRINT Consortium, Georgia State University, Emory University, Indiana University and the US Department of Defense.