Registration

13th Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID)

University of Washington
July 7 - July 23, 2021
Early Registration Deadline: June 17, 12:00 am PDT(GMT -0700)*Regular registration price will be in effect after 11:59pm on June 16.
Refund Policy:
  • Cancellations made on or before June 5 will be subject to a $70 processing fee.
  • Cancellations made June 5 to June 30 will be subject to a $100 processing fee.
  • No refunds will be processed after June 30.
  • Canceling a credit card payment, including changing payment from credit card to invoice or UW budget number, will result in applicable cancellation fees ($70, $100).

 

 

 

 

MODULE CANCELLATION

UW Summer Institutes reserves the right to cancel any module at any time. In the unlikely event of a cancellation, the Summer Institutes and the Department of Biostatistics will allow registrants to enroll in another module of equal cost, apply the registration fee to a module of greater cost, or request a full refund. The Summer Institutes and the Department of Biostatistics are not responsible for costs or damages of any kind incurred by registrants (including expenses related to lodging, airfare, transportation, and/or any cancellation or change fees).

Registration Type
Module Pricing
RegularEarly
General Registration$550.00$450.00
Academic/Gov't/Non-Profit$400.00$300.00

Modules

2021 Session 1: July 7 - July 9, 2021
Reconstructing Transmission with Genomic Data
2021 Session 2: July 12 - July 14, 2021
Spatial Statistics in Epidemiology and Public Health
Stochastic Epidemic Models with Inference
Simulation-Based Inference for Epidemiological Dynamics
2021 Session 3: July 14 - July 16, 2021
MCMC I for Infectious Diseases
Contact Network Epidemiology
Infectious Diseases, Immunology and Within-Host Models
2021 Session 4: July 19 - July 21, 2021
MCMC II for Infectious Diseases
Statistics and Modeling with Novel Data Streams
Pathogen Evolution, Selection, and Immunity
2021 Session 5: July 21 - July 23, 2021
Evolutionary Dynamics and Molecular Epidemiology of Viruses
Microbiome Data Analysis
Causal Inference
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