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This may be of interest to socnet folks.

The workshop focuses on epidemics, but the methods and software are 
appropriate for all diffusion processes.

Please feel free to share widely.


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Network Modeling for Epidemics
Summer short course at the University of Washington
20-24 August, 2018

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, using the EpiModel software package in R (www.epimodel.org). 
EpiModel provides a unified framework for statistically based modeling of 
dynamic networks from empirical data, and simulation of epidemic dynamics 
on these networks. It has a flexible open-source platform for learning and 
building several types of epidemic models: deterministic compartmental, 
stochastic individual-based, and stochastic network models. Resources 
include simple models that run in a browser window, built-in generic 
models that provide basic control over population contact patterns, 
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 for advanced research. This course will touch 
on the deterministic and individual-based models, but its primary focus is 
on the theory, methods and application of network models.

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.

Returning students: We encourage previous attendees with active modeling 
projects to apply to return for a refresher course. The EpiModel package 
has been significantly enhanced over the last few years. Returning 
students with active projects will have the opportunity to work with 
course instructors to address key challenges in the design of their 
network model code.

Dates and location:

The course will be taught from Monday, August 20 to Friday, August 24 on 
the University of Washington campus in Seattle.

Costs:

Course fee is $600. Travel and accommodation costs are the responsibility 
of the participant, although discounted hotel rates are available. We 
offer a limited number of fee waivers for pre-doctoral students or for 
attendees from low income countries.  These cover waiver of the 
registration fee only; travel and accommodation are still the 
responsibility of the fee waiver recipient.

Application dates and decision dates:

*    Apr 1: Fee-waiver application deadline. Decisions will be made by Apr 
15, and response required by May 1.

*    May 1:  General application deadline. Decisions will be made by May 
15 and a response required by June 1. A waitlist will be established with 
rolling admission through June 30.

Application:

Apply online at https://urldefense.proofpoint.com/v2/url?u=https-3A__catalyst.uw.edu_webq_survey_morrism_347069&d=DwIBAg&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=Jl2VviuoCE70GN4rEM24dXjrHKeRsPHLMRFq7u-2bgA&s=hZRKEvJKITRKh8OabMIAHLu6hy_PB3ZESe1iluguppg&e=

Course website and more information: https://urldefense.proofpoint.com/v2/url?u=http-3A__statnet.github.io_nme&d=DwIBAg&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=Jl2VviuoCE70GN4rEM24dXjrHKeRsPHLMRFq7u-2bgA&s=WbzVLgMZO-zxGB5KZP7eUpgZNWPNDcfGjnr10Kmkn0U&e=

Please free to share widely!

Yours,
Martina Morris, Steve Goodreau and Samuel Jenness

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