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
Computer Science PhD Student Wins Prestigious Award in Data Science and Geoinformatics
Computer science doctoral student Amruta Kale was awarded the FUNding Friday Award at the Earth[…]
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Computer Science Researcher Plans to use Machine Learning to Improve Cancer Treatments
Computer Science and Engineering Assistant Professor Tin Nguyen is set to begin NSF-funded research this[…]
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Dartmouth Undergraduates Win Poster Competition
Dartmouth undergraduate students Rena Schwartz and Joseph Earles won the first-place award of the student[…]
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