This talk was part of the series Leading in complex times by IE University. The objective was to provide a theorical framework of how to approximate the prediction problem of Covid-19 disease, with data. The talk had the following structure:

1. Modelling process
2. Disease and Data context
3. Data Science problem
4. Modelling - the total infected
5. Estimations - infected and hospital resources
6. Personal history and key learnings

It was a pleasure working with Clarissa Watson, a top tier host!