# Machine-Learning-Assisted Real-Time Simulations and Uncertainty Quantifications for Infectious Disease Outbreaks **Entity class:** Oden epidemic-modeling research project ## Definition **Machine-Learning-Assisted Real-Time Simulations and Uncertainty Quantifications for Infectious Disease Outbreaks** is the project announced by Oden on October 19, 2020 and led by [[wiki/Tan Bui-Thanh|Tan Bui-Thanh]], with Leticia Ramirez-Ramirez of CIMAT and Arturo Montoya-Laos of the University of Sonora. Oden described a model incorporating interconnectivities and associated uncertainties, spatial and temporal variables, parameter estimation, control measures, real-time forecasting, faster simulation, and quantified confidence despite information gaps. ## Significance The project is the documented method-transfer bridge from Bui-Thanh's inverse/UQ and real-time physical modeling into epidemic transmission modeling. It does not establish an Oden counterterrorism program; counterterrorism and radicalization literatures independently use related network and contagion formalisms. ## Relationships - **led by:** [[wiki/Tan Bui-Thanh|Tan Bui-Thanh]]. - **institution:** [[wiki/Oden Institute|Oden Institute]]. - **domain:** [[wiki/Epidemic Modeling|Epidemic Modeling]]. - **methods:** [[wiki/Scientific Machine Learning|Scientific Machine Learning]], [[wiki/State Estimation|State Estimation]], parameter inference, and [[wiki/Uncertainty Quantification|Uncertainty Quantification]]. - **conceptual bridge:** [[wiki/Transport as a General Predictive Architecture|Transport as a General Predictive Architecture]]. ## Sources / Provenance - [Oden Institute — How to Predict, Intervene, and Contain Current and Future Epidemics, October 19, 2020](https://oden.utexas.edu/news-and-events/news/CONTEXTanBuiThanh/)