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
Xiaogang Ma Earns M. Lee Allison Award for Outstanding Contributions to Geoinformatics and Data Science
University of Idaho Associate Professor of Computer Science Xiaogang (Marshall) Ma was selected by the[…]
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TickBase 2024 Annual Meeting: Advancing Research Collaboration
The 2024 TickBase annual meeting took place in Burlington, VT, marking a crucial phase in[…]
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Andrew Nuss Recently Honored with NSF CAREER Award
Assistant Professor Andrew Nuss recently received a $1.17M NSF CAREER Award. Nuss is a faculty[…]
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