12th 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.


Registration will close three business days prior to the start of a course.

Session Dates: July 13-29, 2020

2020 Modules  |  Register  | Subscribe to Mailing List

  • 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.


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.


Cost Savings for 2020

The online format reduces our expenses and we are pleased to pass those savings along to you via lower registration fees for SISMID modules.
Group Early-Bird Fee per Module (Through June 22) Regular Fee per Module (After June 22) Payment with UW Budget Number
Academic, Government, Non-Profit
Regular: $575
Now: $300
Regular: $675
Now: $400
13% discount
Corporate, For-Profit Organizations
Regular: $675
Now: $450
Regular: $775
Now: $550

More about scholarships available and registration and fees

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."