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. Learn more here.

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.”