Working Group leader: Audrey Fu
Group members: Bandita Karki, Jarred Kvamme, Elijah Danquah Darko, Chenangnon Tovissode
Originated: June 2015
Description:
We develop statistical models and machine learning algorithms to analyze data in human genomics, with an emphasis on causal network inference and high-dimensional data.
Working Group leader: Dan Weinreich Group members: Tanya Miura, Andreas Vasdekis, Brenda Rubenstein, Craig Miller, David Morgan, Jagdish Patel, JT VanLeuven, Jonathan Barnes, Kyle Martin, Marty Ytreberg, Paul Rowley Originated: November, 2018 Description: This working group is interested in empirical and theoretical approaches for understanding epistasis and its evolutionary consequences.
Last week a University of Idaho team presented at the 25th VRST Symposium in Sydney, Australia, and won the Best Demo Award for their project “Dynamic Virtual Proteins: Visualization, Interaction and Collaboration in Virtual Reality.” In the world of virtual reality, the Symposium on Virtual Reality Software and Technology (VRST) is among the top ten…
Working Group Leader: Bert Baumgaertner Group Members: Florian Justwan, Kendal Mitton, Chenangnon Tovissode Originated: January 2023 Description: This working group uses both modeling and empirical investigations to understand the role that evidentiary standards play when individuals evaluate claims. We are interested in the systematic ways standards of evidence differ across various types of claims (e.g….
Updated: February 2021 Working Group leader: Erich Seamon Group members: Bruce Godfrey, Claudio Berti, Paul Gessler, Raymond Dezzani, Jason Karl, Vincent Jansen, Marshall Ma, Luke Sheneman, Naveen Joseph, Alan Kolok, Daniel Cronan, Felix Liao, Jeff Hicke, Chao Fan Schedule: TBD Description: The Geospatial Modeling (GM) Working Group will explore and propose platforms and methodologies for performing spatially-explicit modeling across landscape…
Working Group leader: Holly Wichman Group members: Marty Ytreberg, Craig Miller Originated: April 2018 Description: The function of this group is to help early stage investigators write successful grant proposals. Participants attend a meeting of the Admin Team as needed and get feedback on their proposals. More intense work can be arranged for specific proposals.
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…