The Energy Data Analytics Lab, led by Kyle Bradbury, tracks buildings sector emissions data as member of Climate TRACE, a global coalition of universities, scientists, and AI experts mapping human-produced emissions around the world. The lab's most recent work enhanced the best-available spatial resolution of buildings climate data from 11 to 1 k², leading to better detailed and more accurate emissions estimates, reports The Chronicle.

The Energy Data Analytics Lab is helping strengthen Climate TRACE, a non-profit coalition that provides the world’s largest inventory of greenhouse gas emissions.

Over the last decade, Data+ has supported hundreds of Duke students participating in data-driven, interdisciplinary projects, giving real-world experience before they even leave campus. Dozens of those students have joined Climate+, spinoff of Data+ aligned with the Duke Climate Commitment and directed by the Nicholas Institute's Kyle Bradbury.

Duke University is one of twelve members of Climate TRACE, a nonprofit coalition of organizations building a timely, open, and accessible inventory of exactly where greenhouse gas emissions are coming from. A Duke-led research team is contributing to the inventory by providing estimates of direct greenhouse gas emissions from buildings across the Earth's 150 million square kilometers of land. In an interview with Climate TRACE, Kyle Bradbury explains how the team is taking on this monumental task—and why it matters.

This summer, students in Duke University’s Climate+ program used data science techniques to research climate challenges and potential solutions. They studied topics like saltwater intrusion, energy materials, rainfall predictions and links between climate and health. More than 30 students participated on eight project teams.

The 2023 Energy Data Analytics Symposium brought together more than 100 participants from academia, industry, government and nongovernmental organizations at Duke University in October 2023 to explore how artificial intelligence and other data science tools can help make energy systems more accessible, affordable, reliable and environmentally sustainable.

The Climate TRACE coalition has created the world's largest inventory of greenhouse gas emissions using satellite remote sensing data and machine learning algorithms to identify and estimate emissions sources. Kyle Bradbury, director of Duke's Energy Data Analytics Lab, spoke with Green Building Advisor about Climate TRACE's efforts to develop high-resolution modeling for emissions from buildings.

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 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 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.