In 2018, the University of Chicago introduced 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 was made possible by a $3 million award from the National Science Foundation’s Research Traineeship program.
In September 2022, we hosted our 5th annual “Environmental Data Science Bootcamps”! The courses were organized by our current program fellows, and occurred in-person and hybrid. They covered computing and statistical techniques used in data-driven research.
Check out our
past bootcamp material!
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.”