This news article was written by Kathy Foss, Marketing and Communications Manager for the College of Letters, Arts and Social Sciences. Drs. Florian Justwan and Bert Baumgaertner are active CMCI faculty participants and part of the Social-Epi working group. MOSCOW, Idaho — Aug. 28, 2019 — People skeptical of the medical establishment who live close to […]
IMCI Postdocs
Working Group leader: JT VanLeuven Group members: Lihong Zhao, Ousseini Issaka Salia, Dharmesh Patel, William Wang, Erich Seamon Originated: August 2018 Description: The IMCI postdocs working group brings IMCI core fellows and postdocs together to provide each other a support system that helps peers to navigate the challenges at work. In addition, the working group provides […]
Genotypes to Phenotypes
On June 17-19, the team working on the RII Track-2 FEC: Using Biophysical Protein Models to Map Genetic Variation to Phenotypes met in Moscow for their 2nd annual All-Hands meeting. This research is a collaborative effort between the University of Idaho, Brown University and the University of Vermont. There are over 60 participants in the […]
Reproducibility Does Not Equa...
The CMCI Reproducibility in Sciences working group, or SciRep for short, has been meeting since the fall of 2015. Today, their most recent publication, “Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity,” was published in PLOS ONE. Congratulations! The American Council on Science and Health also picked up the story with their […]
Modeling Chlamydia Infection ...
Working Group leader: Lihong Zhao Group members: Yusuf Omoson (Morehouse School of Medicine), German Enciso (UC Irvine), Ming Tan (UC Irvine), Scott Grieshaber Originated: April, 2019 Description: This working group is interested in using mathematical modeling to understand the association of microbial dynamics in the genital tract of female mice with Chlamydia infection. They will […]
Muc7 Models of Peptide Glycos...
Working Group leader: Kristopher Waynant Group members: Darren Thompson, Dharmesh Patel, Tyler Siegford, Jacob Kennedy Originated: March 1, 2019 Description: Modeling efforts of Muc7 homologs for understanding possible glycosylation patterning that will allow for bacterial agglutination. Using the preliminary results from this data we are attempting to synthesize the first of these analogs. We hope […]
Geospatial Modeling (GM)
Working Group leader: Luke Sheneman Group members: Bruce Godfrey, Carrie Roever, Paul Gessler, Erich Seamon, Raymond Dezzani, Steve Radil, Roger Lew, John Abatzoglou, Katherine Hegewisch, Jason Karl, Vincent Jansen Originated: April 2018 Description: The Geospatial Modeling (GM) Working Group will explore and propose platforms and methodologies for performing spatially-explicit modeling across landscape and watershed scales. This working group will focus on the interactions of spatial […]
EPSCoR Track-2 Genome to Phen...
Working Group leader: Marty Ytreberg Group members: Andreas Vasdekis, Craig Miller, Tanya Miura, Paul Rowley, Holly Wichman, Chris Marx, Jagdish Patel, JT Van Leuven, Jean-Marc Gauthier, Brian Clevely, Brandon Ogbunu, Brenda Rubenstein, Dan Weinreich, Mandar Naik, Brent Lockwood, Melissa Pespeni Originated: October 2018 Description: The purpose of this working group is to discuss issues that are potentially […]
Reproducibility in Sciences W...
The CMCI Working Group, Reproducibility in Sciences or SciRep for short, was recently highlighted in the Lewiston Tribune. The group is comprised of a marketer, a philosopher, a statistician and a computer scientist. They are looking for ways to improve traditional research methods by examining an emerging pattern that shows results from many scientific studies […]
Machine Learning (ML)
Working Group leader: Fuchang (Frank) Gao Group members: Audrey Fu, Min Xian, Aleksandar Vakanski, James Foster, Linh Nguyen, Ben Price, Bailey Lind-Trefts, Daniel Furman Originated: August 2018 Description: This group studies various machine learning methods/models and their application with two primary goals: Bring together researchers on machine learning and discuss the most recent models/algorithms/applications. To facilitate […]