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.
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.
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 https://dearmint.github.io/2020-02-27-uidaho/.
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.