Summer course at the University of Washington on Network Modeling for Epidemics

March 24, 2015

Network Modeling for Epidemics

Summer short course at the University of Washington Aug 24-28, 2015

Network Modeling for Epidemics (NME) is a 5-day short course at the University of Washington that provides an introduction to stochastic network models for infectious disease transmission dynamics, with a focus on empirically based modeling of HIV transmission.  It is a “hands-on” course, with the EpiModel software package (www.epimodel.org) that uses the Statnet software suite in R, providing a unified framework for modeling networks and epidemics.  Epimodel has a flexible open-source platform for learning and building models. Resources include web-based tools, built-in generic models that provide basic control over networks, pathogen properties and demographics, and templates for user-programmed modules that allow EpiModel to be extended to the full range of pathogens, hosts, and disease dynamics.

The course uses mornings for lectures, and afternoons for labs with students working in small groups.  On the final day, students have the option of developing an EpiModel prototype for their own research projects, with input from the instructors, which includes the lead EpiModel software developer, Dr. Samuel Jenness.

 

Dates and location: 

The course will be taught August 24-28 on the University of Washington campus in Seattle.

 

Application dates and decision dates: 

  • April 15: Fellowship application deadline. Decisions will be made by April 30.
  • June 1:  General application deadline.  Applications will continue to be accepted on a rolling basis until this date.  Decisions will be made by June 15.

 

Costs: 

Course fee is $250. Travel and accommodation are the responsibility of the participant, although discounted hotel rates are available, as are a limited number of fellowships for pre-doctoral students or for attendees from outside the US/Canada.

 

Application: 

Apply online at https://catalyst.uw.edu/webq/survey/morrism/261658

 

Course website and more information: 

http://bit.ly/NetworkEpi

http://epimodel.org