The University of Chicago introduces a new program in data science for energy and environmental research to train graduate students from Geosciences, Economics, Computer Science, Statistics, Public Policy, and other programs in the computational and data science techniques critical for modern science. This program is made possible by a $3 million award from the National Science Foundation’s Research Traineeship program.
➡ To apply to be a fellow in the 2021 cohort, see information here or check out our flyer.
In September 2021, we’re hosting our 4th annual “Environmental Data Science Bootcamps”! The courses are organized by our current program fellows, and will be occurring virtually over Zoom. They cover computing and statistical techniques used in data-driven research.
Click here to view lesson materials from our 2020 bootcamps!
➡ Check out our flyer or go here to learn more.
For more information, email nrt-env@uchicago.edu.
CORE FACULTY
NATURAL SCIENCE
Elisabeth Moyer
Atmosphere/Climate
Joshua Elliot
Agriculture
Cristina Negri
Environmental Science/
Land & Water
Mercedes Pascual
Ecology and Disease
Tiffany Shaw
Atmosphere/Climate
SOCIAL SCIENCE
Ryan Kellogg
Energy Economics
Amir Jina
Economics of Climate Impacts
Michael Greenstone
Environmental Economics
STATISTICS & COMPUTING
Ian Foster
Computing/Data
Rebecca Willet
Statistics/Computing
Michael Stein
Spatial Statistics
Mihai Antinescu
Statistics
Michael Franklin
Computing/Data
Our vision is to produce students who have the computational skills and breadth of knowledge, from social to physical sciences, needed to tackle these critical research subjects in all their complexity.”