I will present our most recent work on the use of machine learning methods to track and forecast (endemic and emerging) epidemic outbreaks. I will present details on how we have learned from our past experiences, monitoring Influenza and Dengue, to monitor the COVID-19 pandemic in real-time. I will discuss how data sources that were not conceived originally to track population health trends --such as Google (and Baidu) searches, Twitter microblogs, weather, and anonymized data from mobile phones--can be leveraged for exactly that. 

Zoom link: https://upenn.zoom.us/j/98771561529?pwd=WUdvZHd6RUN0K3grWG44RjJUb2NMUT09