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Modeling COVID-19

Modeling COVID-19

When COVID-19 landed in Washington state, researchers at the Institute for Disease Modeling (IDM) in Bellevue quickly switched their focus from tuberculosis and malaria to track and forecast the coronavirus pathogen that was threatening their own country.

Mike Fumulare is the group’s lead coronavirus modeler and finds his work days longer than ever, even though he’s working from the couch in his living room. State and local leaders are relying on the graphs and predictions produced by IDM and other research organizations to make difficult policy decisions and recommendations intended to slow the virus’ spread.

Dr. Fumulare was scheduled to be the featured speaker for an IBEST/IMCI seminar this semester. However, due to his inordinate work schedule and the current social distancing recommendations, his visit has been postponed until fall. We look forward to it. In the meantime, check out this article in The Seattle Times.

Spring Seminar Changes

Spring Seminar Changes
Please note the NEW LOCATION.

Like many of you, IMCI continues to monitor and follow university, state and national guidelines in regards to the Coronavirus COVID-19 pandemic.

Please be aware that the Seminar scheduled on April 2 has been canceled.

The Seminar on April 16 with Rachael Bay from UC Davis will be held virtually. You may participate from IRIC 305 or via Zoom with meeting ID 173174932.

More information regarding the Seminar on May 7 will be forthcoming.

Spring Seminars Announced

Save these dates! IMCI and IBEST are pleased to announce our seminar speakers for this spring.

The following individuals will be talking on Thursdays in EP 122, 12:30 – 1:20:

  • April 2 – Mike Famulare, Institute for Disease Modeling
    “Biological challenges on the path to polio eradication—insights from mathematical modeling”
  • April 16 – Rachael Bay, UC Davis
    “Climate adaptation and vulnerability across space and time in a migratory songbird”
  • May 7 – Adam Lauring, University of Michigan
    “Host level constraints on RNA virus evolution”

If you would like to meet individually with any of these special guests while they are on campus, please contact their corresponding host, who is responsible for arranging that speaker’s itinerary.

Registration Now Available

Data Carpentry – Geospatial Analysis

Workshop dates: Thursday and Friday, March 26-27, 9 a.m. – 5 p.m.

Instructors: Erich Seamon and Travis Seaborn

Description: This hands-on workshop will focus on managing and understanding spatial data formats, understanding coordinate reference systems, and working with raster and vector data in R for analysis and visualization. An introductory knowledge to R is helpful, but not required. Participants will be encouraged to help one another and to apply what they have learned to their own research problems, and will be aimed towards graduate students and other researchers.

Attendees must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. More details can be found at



Registration Now Available

Introduction to R for Reproducible Science

Workshop dates: Thursday and Friday, February 27-28, 9 a.m. – 5 p.m.

Instructors: Lihong  Zhao and Amanda Culley

Description: This introductory course will showcase reproducible research through simple analysis examples. The goal is to teach novice programmers to write modular code and best practices for using R for data analysis. This 2-day hands-on short course will give participants a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching basic programming in R, and will not teach statistical analysis. No prior knowledge of R or RStudio is needed. More details can be found at

Requirements:Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.). Please ensure you have the latest version of R and RStudio installed on your machine.