Reproducibility of research results across repeated studies is a defining feature of science. However, in the last few years scientists across several fields including (but not limited to) psychology, cancer biology, biochemical science, preclinical research, ecology, and evolution have been facing difficulty reproducing well-known results in their respective fields. This disconcerting trend has resulted in widespread discussions of how to make science more reproducible and transparent. Our workshop will include talks by external and internal speakers providing different perspectives on scientific reproducibility, and will include hands on training by the Center for Open Science on many simple actions researchers can take to increase the reproducibility of their work.
Modeling COVID-19March 16, 2020
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 […]
Spring Seminar ChangesMarch 13, 2020
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 […]
Spring Seminars AnnouncedFebruary 7, 2020
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 […]