Data Science and Epidemic Models

8 luglio 2019
9 luglio 2019
10 luglio 2019
11 luglio 2019
12 luglio 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.


Please find here a summary of the Program and in the download section, on the right


Topics of the courses 

Chris Fraser 

  • 1. New pathogens and how epidemics start | branching processes, Reed-Frost model, renewal model, Kermack-McKendrick models
  • 2. Once pathogens become endemic | ODE models with heterogeneity and the next generation matrix
  • 3. Controlling pathogens and the evolution of resistance | transforming to the frequency spectrum, the logistic equation, modelling strain structure
  • ​4-5. Using genetics to better control epidemic and endemic pathogens | genealogies, phylogenies, the coalescent model, within-host diversity, and the return of the next generation matrix 

Niel Hens 

  • 1-2. Analysis of epidemic data using growth models, epidemic tree data analysis etc.
  • 3-4. Analysis of serological data using Maximum Likelihood methods. 
Aaron King 
  • 1-2. Stochastic simulation
  • 3-4. Particle filtering
  • 5-6. Parameter estimation via iterated filtering
The course includes case studies and exercises, some of which will be worked out in classes, others are left to students. 
Alessandro Vespignani 
  1. Novel data streams
  2. Networks & Data
  3. Data-driven epidemic models
  4. Forecast of ID spreading 

DSEM Events

Monday 8-morning
From 8:30 am till 9:30 am - Participants Registration
Location: Povo-1 (via Sommarive 5 - Povo)

Monday 8-afternoon
From 6:00 pm till 9:00 pm - Welcome Drink&Dinner
Location: SAS Spazio Archeologico, Piazza Cesare Battisti, Trento center

Wednesday 10-afternoon
Visit to the Alpine Botanical Garden & Social Dinner
Bus departing at 2:45 pm, in front of FBK (Povo-1) to reach Monto Bondone (area: Le Viote)
The restaurant is next to the Alpine Garden and dinner will start around 6:30 pm
Bus departing from Le Viote at 9:30 pm to reach Trento Center around 10:00 pm


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


  • 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/pdfDSEM Program July-3(PDF | 20 KB)
application/mswordInvoice data form for IT public institutions(DOC | 112 KB)