Forecasting Tick-borne Diseases in the Western U.S.

OUR TEAM

Members of the project team include Univ. of Idaho, Univ. of Nevada (Reno), Univ. of New Mexico and Dartmouth College

meet the team

PROJECT OVERVIEW

Learn how data scientists plan to assimilate data and develop spatio-temporal models of tick dynamics

about the project

VISUALIZATION

An interactive plot illustrates the relationship between project participants and project components

interactive plot

TickBase 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[…]

Read more

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[…]

Read more

Dartmouth Undergraduates Win Poster Competition

Dartmouth undergraduate students Rena Schwartz and Joseph Earles won the first-place award of the student[…]

Read more
Project 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.

learn more

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
Contact Us

Contact Us

We would like to hear from you. Please send us a message by filling out the form below and we will get back with you shortly.

First
Last