Spring 2017 Seminar Series

CMCI is pleased to join with Northwest Knowledge Network and the Idaho Water Resources Research Institute (IWRRI) to sponsor Professor David Tarboton from Utah State University who will be speaking on the U of I campus on November 27 at 10:30 a.m. His presentation will describe the tools, methods and practices for data and model…

Aaron King, a professor of Ecology & Evolutionary Biology, professor of Mathematics and member of the Center for the Study of Complex Systems at the University of Michigan, will present an all-day CMCI WORKSHOP on modeling and fitting stochastic dynamic systems on Friday, January 25. Registration will be required. Interested participants are strongly encouraged to…

Linda Allen, a professor in the Department of Mathematics and Statistics at Texas Tech University, will speak at 12:30 p.m. today, Aug. 30, in EP 122 as part of the IBEST/CMCI Seminar Series. Her talk is titled “Probability, Duration and Final Size of an Epidemic in Stochastic Multistage or Multigroup Models.”

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…

The next IBEST/CMCI seminar is on Thursday, October 11, 12:30 p.m. in EP 122. Fabienne Chevance, Research Assistant Professor in Biology at the University of Utah, will present, “Effect of ajacent codons on MRNA translation.” Her work has uncovered the importance of codon pair and codon triplet interactions in regulating the speed of translation in bacteria.

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…