The University of Chicago introduces a new program in data science for energy and environmental research to train graduate students from GeosciencesEconomicsComputer ScienceStatisticsPublic 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

“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.”