In this competition workshop, participants will address the challenge of selecting and parameterizing models for complex biological systems. Biological systems present unique hurdles due to their complexity and variability. Even in the face of this complexity, methods to predict the future state of biological systems (and populations) from limited time series data is an ongoing challenge in medical and public heath areas.
The workshop will emphasize real-time forecasting as new data becomes available. For example, forecasting disease progression requires incorporating new data as it becomes available. Understanding disease spread within a population necessitates real-time tracking of case numbers and severity. As public health interventions are implemented, forecasts must be adjusted for real-time changes.
Prior to the competition, participants will develop any model they wish that is capable of modeling a viral pandemic. During the competition, time series data on infection occurrence will released sequentially. The participants' challenge is to predict the future course of the infection in the population.
The workshop will be help at Georgia State University, Atlanta Georgia, July 29th - Aug 1st 2025.
Lodging and travel support is available.
This workshop is supported by the IMAG/MSM Viral Pandemics Working Group, GLIMPRINT.org and the US Department of Defense.