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Population Biology of Infectious Diseases

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Academic Level:
For most summer research programs, this is your upcoming status as of the fall. Always check with the individual program's website for details.

Undergraduates - First Year
Undergraduates - Sophomore
Undergraduates - Junior

The University of Georgia is host to the NSF-funded REU Site program in Population Biology of Infectious Diseases. The goal of the program is to provide students with experiences and opportunities at the intersections of the quantitative sciences (mathematics, computer science, statistics) and empirical disciplines of infectious disease biology (ecology, epidemiology, genetics, immunology, microbiology). We achieve this goal by creating an integrative program aimed at exposing students with a biological background to quantitative methods, and by promoting an understanding of experimental biology among students with a background in mathematics and computer science.

Students participating in this REU program have the opportunity to address pressing questions in the field of infectious disease across different scales, reflecting both ecological and evolutionary processes.

Over the nine weeks of our summer program, students participate in the complete research cycle from project design to analysis and presentation. The research experience is complemented by professional and social activities including a kickoff barbecue, planning stages feedback, lab group meetings, lunch discussions, journal club, field trips and social activities, discussions on professional development, and a closing symposium.

Participating Institution(s):
(Click an institution to see all programs it hosts)
University of Georgia (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Applied Mathematics
Computational Sciences
Ecology & Evolution

Computational Biology
Ecological Modeling
Infectious Disease
Mathematical Modelling
Population Biology
Population Dynamics
Population Ecology

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This program is funded by:
National Science Foundation (NSF)

Page last updated 11/30/2018
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