The Rhodes Information Initiative at Duke (Rhodes iiD), in partnership with the Nicholas Institute for Energy, Environment & Sustainability, is now accepting student applications for this summer’s Climate+ projects.

The newly expanded Climate TRACE database offers the most granular and comprehensive GHG emissions inventory available, including every country and territory, every major sector of the global economy, and nearly every major source of GHG emissions.

The Nicholas Institute is a new member of Climate TRACE, a global nonprofit coalition.

Joseph DeCarolis, administrator of the U.S. Energy Information Administration, recently delivered the keynote presentation at the 2023 Energy Data Analytics Symposium.

The winners from the University of Wisconsin-Madison, University of North Carolina at Chapel Hill and University of Montana were among two dozen emerging scholars and energy professionals from around the country who submitted five-minute lightning talk videos on their own work or a big idea.

The new Office of Climate and Sustainability brings together several of Duke University's climate, energy, and environmental assets—including the Nicholas Institute—to help advance the mission of the Duke Climate Commitment.

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.

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.

The Rhodes Information Initiative at Duke (Rhodes iiD), in partnership with the Nicholas Institute for Energy, Environment & Sustainability is now accepting student applications for this summer’s Climate+ projects. Climate+ is a vertical within Rhodes iiD’s Data+ program, a full-time, ten-week summer research experience for Duke students of all class years and majors.

This year, six emerging scholars from Duke University, North Carolina State University, and the University of North Carolina at Chapel Hill will take part in a unique Duke-based program aimed at preparing energy and climate innovators to make an impact.

One of Duke University’s signature summer education programs is expanding student opportunities to apply cutting-edge data science methods to climate challenges.

Dive into this foundational video on unsupervised learning by Dr. Jordan Malof. This talk introduces common unsupervised learning techniques and how they can be applied to energy challenges. You'll hear about mixed clustering, dimensionality reduction, and more!

Check out this introductory talk by Dr. Kyle Bradbury (Energy Data Analytics Lab & Pratt School of Engineering) on computer vision. Featuring discussion of segmentation, object detection, and more along with examples of how computer vision can be applied to get insights about energy systems! The first part of a new series on Foundations for Energy Data Analytics. 

The team used machine learning to create a model that detected wind turbines solely from satellite imagery by training it first with real images of turbines. Since these images are scarce and in practice the machine learning techniques need to be applied to different locations than from where the training data are available, this approach was compared to data resulting from a model which also was trained on synthetic images of wind turbines. Synthetic images, while they might look real to the machine, are generated images and are not genuine photos. Feeding the model synthetic images of wind turbines increased the accuracy or "average precision" of the predicted turbine location.

The Duke University Energy Initiative has unveiled its newest cohort of Energy Data Analytics Ph.D. Student Fellows, which, for the first time, includes doctoral students beyond Duke as part of the program's expansion. This year's seven Ph.D. Fellows are from Duke University, North Carolina State University, and the University of North Carolina at Charlotte. This one-of-a-kind fellows program is designed to produce scholars with expertise in both data science and energy application domains and enables collaboration across universities in the region.

At Duke University's Energy Data Analytics Symposium in December 2020, experts talked shop about how data science techniques can transform energy systems to become more accessible, affordable, reliable, and clean. More than 200 researchers, energy professionals, and students from 19 countries and nearly 100 organizations took part in the two-day convening hosted by Duke University's Energy Data Analytics Lab.