
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 2020 cohort, see information here.
In September 2020, we’re hosting our 3rd annual “Environmental Data Science Bootcamps”! In order to maintain student safety protocols, the bootcamps will be occurring virtually. These 1- and 2-week courses are organized by our current NRT fellows and cover computing and statistical techniques used in data-driven research. 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
“This program will equip graduate students with the tools needed to advance the study of issues related to food, energy, and water.
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.”