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

The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) is designed to introduce infectious disease researchers to modern methods of statistical analysis and mathematical modeling and to introduce statisticians and mathematical modelers to the statistical and dynamic problems posed by modern infectious disease data. M. Elizabeth Halloran serves as the Director of SISMID.

SISMID is partially supported by the National Institute of Allergy and Infectious Diseases of the National Institutes of Health under Award Number R25 AI147391.

2022 Tentative Dates, July 11-27 (format TBD)

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  • Design a program relevant to your interest by choosing from module offerings.

  • Most participants take 2 or 3 modules. Each module is two-and-a-half days.

  • Participants receive a certificate of completion for each module.


One of the goals of SISMID is to strengthen the statistical and genetic proficiency and career preparation of scholars from all backgrounds, especially those from groups historically underrepresented in STEM such as racial and ethnic minority groups, low income, first generation college students, veterans, and differently-abled and 2SLGBTQ groups.


2021 Registration Fees

Group Early-Bird Fee per Module (Through June 18) Regular Fee per Module (After June 18) Payment with UW Budget Number
Academic, Government, Non-Profit
13% discount
Corporate, For-Profit Organizations


Participant Comments

  • "SISMID helped improve my knowledge around the sheer volume and diversity of research that has been undertaken and is currently underway."
  • "It has tremendously helped improve my understanding of what modeling and statistical techniques are available that I could apply to my current research questions."
  • "I highly valued the opportunity to interact with people from different backgrounds and perspectives. I am an applied mathematician, so it was particularly interesting to hear the perspectives of those who work in global health or epidemiology or other areas."