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 2019 cohort, see information here.
In September 2019 we’re hosting our 2nd annual “Environmental Data Science Bootcamps”. These 1- and 2-week mini-courses are hosted and organized by our current NRT fellows and cover computing and statistical techniques used in data-driven research, pitched at the level of a 1st or 2nd-year PhD student. Mini-courses in 2019 include “Computation for Research” I-IV, which covers a variety of data science tools and skills, including deep learning in the last week; “Introduction to Scientific Programming”, which is designed for students entering with more limited programming experience, and “Topics in Statistics for Research”.
For more information, email email@example.com.
Land & Water
Ecology and Disease
Economics of Climate Impacts
STATISTICS & COMPUTING
“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.”