Data Science and Epidemic Models

Trento, July 8-12, 2019
Versione stampabile
This international summer school aims at presenting state-of-the art techniques to exploit the available data to improve our understanding of epidemic dynamics and spread. 
 
The topics will include:
 
  • computational and statistical methods for analyzing epidemiological data, as well as data arising from new technological tools (such as genetic analysis, social media...);
  • methods for inferring detailed mobility and contact patterns to be integrated in global epidemic models.
 
The school will include some hours of computer practice in the application of the methods, and it is intended for Ph.D. students, beginning post-docs and advanced Master’s students, preferably with some experience in the area.
 

Organizers:

  • Andrea Pugliese, University of Trento
  • Stefano Merler, FBK
 

Co-organized with