The Energy Data Analytics Ph.D. Student Fellows program is designed to prepare the next generation of scholars to deftly wield data in pursuit of accessible, affordable, reliable and clean energy systems. The 2023 group of students will conduct research on topics including renewable energy, energy forecasting, efficient lightning, coal pollution, energy equity and extreme weather impacts on energy systems.

Read about how the Energy Data Analytics Lab at the Nicholas Institute, led by Kyle Bradbury, is applying new data science techniques to satellite imagery to detect and map energy resources. Part of Duke Today's Climate Education series.

Kyle Bradbury spoke to Duke's student newspaper The Chronicle about the second summer of Climate+, a program for students interested in applying data science techniques to climate research projects.

In summer 2023, doctoral students from institutions across North Carolina will take part in the fifth cohort of Energy Data Analytics Ph.D. Student Fellows, a unique Duke-based program aimed at preparing energy and climate innovators to make an impact.

Applications for the 2023 cohort are due Friday, Dec. 9.

Marc Jeuland (Sanford School of Public Policy) and Kyle Bradbury (Nicholas Institute) spoke to the Sanford School's Policy 360 podcast about how artificial worlds can improve access to energy data and satellites and AI can track climate change.

Duke students use data science methods to help address environmental challenges during the first round of Climate+ projects.