Data Science and Epidemic Models

8 July 2019
9 July 2019
10 July 2019
11 July 2019
12 July 2019
Trento, July 8-12, 2019
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.


To take part in the school it is necessary to register, the fee is 250 Euros but the registration is closed.


  • Andrea Pugliese, University of Trento (Italy)
  • Stefano Merler, FBK (Italy)
  • Piero Poletti, FBK (Italy)



  • Nuno Faria, University of Oxford (UK)
  • Chris Fraser, University of Oxford (UK)
  • Niel Hens, Hasselt University (Belgium)
  • Aaron King, University of Michigan (USA)
  • Alex Vespignani, Northeastern University, Boston (USA)

Co-organized with


@photo by Stefano Merler

application/mswordInvoice data form for IT public institutions(DOC | 112 KB)
application/pdfDSEM draft_program 12-June(PDF | 19 KB)