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Reproducibility in Sciences W...

Reproducibility in Sciences Working Group Highlighted

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 […]

Seeking Summer Brown Bag Lunc...

As summer begins, please note that the CMCI Brown Bag Lunches will continue on Mondays at 12:30pm in the Collaboratorium (IRIC 352). BBLs are a great opportunity for Working Groups to present updates on what they’ve been doing during the academic year or what they plan on doing in the future. If you are the […]

CMCI Calendar Updates

If you have had recurring working group reservations in the Collaboratorium for the Spring 2018 semester, please be aware that most have ended and you will need to make a new reservation if you plan on meeting through the summer. You can see all current working groups on the CMCI calendar. If you would like […]

Grant Writing Working Group (...

Working Group leader: Holly Wichman Group members: Paul Rowley, Peter Allen, Andreas Vasdekis, Marco Mesa-Frias, Chris Remien, Kyle Harrington, Aleta Quinn, Bert Baumgaertner Originated: April 2018 Description: The function of this group is to help early stage investigators write successful grant proposals. We anticipate that each participant will submit a proposal for the summer or fall […]

Washington – Idaho Phage Work

Working Group leader: Holly Wichman Group members: LuAnn Scott, Elissa Schwartz, Karen Biggs, Clay Bailes Originated: March, 2018 Description: This group supports a collaboration between the Schwartz lab and the Wichman lab to investigate the behavior, biological relevance, and evolution of resistance to a self-inhibitory sequence found in the Microvirid genome. We are currently working […]

OneHealth Modeling Working Gr...

Working Group leader: Aniruddha Belsare Group members: Craig Miller, JT Van Leuven, Ryan Long, Katherine Lee Originated: September 2017 Description: Given the interconnectedness of animal health, environmental health and human health and well-being, it is necessary to investigate the ecological contexts of animal disease systems that have public health, conservation or economic implications. Such host-pathogen […]

Modeling Virus Interactions i...

Working Group leader: Tanya Miura & Paul Rowley Group members: Shunji Li, Angela Crabtree, Sierra Beach, Kevin Hutchinson, Laura Steiner Originated: August, 2017 Description: MoVIES is a group designed to bring together the two CMCI-affiliated eukaryotic virology labs at U of I to discuss empirical approaches to test computational predictions of molecular interactions.  The three […]

Traumatic Brain Injury Measur...

Working Group leader: Bryn Martin Group members: Gordon Murdoch, Nathan Schiele, Gabriel Potirniche, Bert Tanner, Martin Mortazavi, Sajid Suriya Originated: September 2017 Description: This group is focused on measurement and modeling with respect to TBI.  In specific, we are carrying out an INBRE Pilot project research grant project entitled, “Investigating the Impact of Arachnoid Trabeculae […]

Small Area Estimation of Obes...

Working Group leader: Helen Brown Group members: Marco Mesa-Fries, Michelle Wiest, Christopher Murphy Originated: November 2016 Description: A spatial microsimulation (small-area estimation-SAE) model will be developed to generate SME in Idaho counties of the factors that place individuals at highest risk for obesity.  The model will estimate selected obesity indicators and other demographic characteristics in […]