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.

In September 2022, we’re hosting our 5th annual “Environmental Data Science Bootcamps”! The courses are organized by our current program fellows, and will be occurring either in-person or hybrid. They cover computing and statistical techniques used in data-driven research.

➡ Check out our flyer or go here to learn more.

Check out our
past bootcamp material!

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.”