OUR TEAM
Members of the project team include Univ. of Idaho, Univ. of Nevada (Reno), Univ. of New Mexico and Dartmouth College
meet the teamPROJECT OVERVIEW
Learn how data scientists plan to assimilate data and develop spatio-temporal models of tick dynamics
about the projectVISUALIZATION
An interactive plot illustrates the relationship between project participants and project components
interactive plotTickBase News
Nature Publishes U of I Professor’s Correspondence on Open Data
Marshall Ma, associate professor of computer science, led an investigation through the Committee on Data[…]
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TickBase Project Supports New Internship Program to Address Environmental Health in Underserved Communities
Track 2 TickBase project introduced undergraduate students to the field of Geographic Information Science (GIS) and how to[…]
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Modeling a Zombie Plague as a Teaching Tool
This summer, Landon Wright, Lead Designer at Polymorphic Game Studio, attended the International Conference on Artificial Intelligence[…]
Read moreProject Synopsis
Tick-borne diseases (TBDs) account for a staggering 94% of human illnesses due to vector-borne diseases in the U.S. The mission of this project is to assimilate disparate datasets with spatio-temporal, environmental and human predictors and to leverage cyberinfrastructure and data science to enhance forecasting of TBDs in the western US.
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Meet Our Team
The core members of the project team are from University of Idaho, University of Nevada (Reno), University of New Mexico and Dartmouth College (New Hampshire)
meet the team