[statnet_help] Network Modeling for Epidemics Workshop: Applications open for 2022 [May 1 deadline]

[NME Workshop]

Network Modeling for Epidemics

Summer short course at the University of Washington

8-12 August, 2022

Apply online at https://forms.gle/rgm4Nxfv5ZtweyQo9

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Network Modeling for Epidemics (NME) is a 5-day short course at the
University of Washington that provides training in stochastic network
models for infectious disease transmission dynamics.

This 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 is a flexible open-source platform
for learning and building epidemic models (including 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 for advanced research to the
full range of pathogens, hosts, and disease dynamics.

We use a mix of lectures, tutorials, and labs with students working in
small groups. On the final day, students work to develop an EpiModel
prototype model (either individually or in groups based on shared research
interests), with input from the instructors, including the lead EpiModel
software developer, Dr. Samuel Jenness.

------------------------------

Prerequisites:

We assume students have some previous background in epidemic modeling and
are comfortable using R.  Examples include:


   -

   Research-level (post classroom) experience with epidemic modeling of any
   kind
   -

   A clearly defined modeling project, ideally with an associated network
   dataset
   -

   Previous experience with EpiModel (for example, have taken NME before,
   or worked through our online training materials on your own)


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Dates and location:

The course will be taught from Monday, August 8 to Friday, August 12,
in-person on the University of Washington Seattle Campus.

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Costs:

Course fee is $1000. We offer a limited number of fee waivers for attendees
from low income countries.

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Deadlines:


   -

   May 1: Application deadline.



   -

   May 15:  Decisions will be announced.



   -

   July 1:  Registration deadline. Late registration is possible through
   July 15 with a late fee of $250.


A waitlist will be established along with rolling admission through July 15
as space allows.

------------------------------

Application:

Apply online at https://forms.gle/rgm4Nxfv5ZtweyQo9

------------------------------

Course website and more information: http://statnet.github.io/nme

Please feel free to share widely!

Yours,

Martina Morris, Steve Goodreau and Samuel Jenness
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