Big data offers big opportunities to solve our world’s most daunting energy and climate challenges.
That’s why Duke University’s interdisciplinary Energy Data Analytics Lab is developing groundbreaking applications of machine learning techniques and cultivating new data analytics talent for the sector.
Experts affiliated with the lab—including engineers, data scientists, and social scientists—are positioning Duke University as an international leader in the emerging area of energy data analytics.
Among other projects, the lab has pioneered the application of visual object identification and machine learning techniques to satellite imagery for energy resource detection and mapping. One of the lab's long-term objectives is to create a map of global energy infrastructure that can be automatically updated.
Duke's Energy Data Analytics Lab is also creating a pipeline of talented innovators. Projects connected with Duke’s unique Data+ and Bass Connections programs accomplish lab research objectives while deepening undergraduate and graduate students’ research, project management, and communications skills. Thanks to grants from the Alfred P. Sloan Foundation, the lab launched programs for doctoral student fellows and postdoctoral fellows in fall 2018.
Founded in 2014, the Energy Data Analytics Lab is a collaborative effort of the Duke University Nicholas Institute for Energy, Environment & Sustainability (which houses it), the Rhodes Information Initiative at Duke (Rhodes iiD), and the Social Science Research Institute (SSRI).