This grant provides funding for the continuation and expansion of a doctoral fellowship program focused on training an interdisciplinary cohort of early career researchers to conduct scholarship in energy data analytics. Implemented by Duke University’s Energy Data Analytics Lab, the program provides participants from multiple fields with opportunities to work on extended research projects involving the collection and analysis of data related to the energy system. In this expanded program model, fellows will be drawn from six participating universities from the region, including Duke, University of North Carolina (UNC)-Chapel Hill, UNC-Charlotte, UNC-Greensboro, North Carolina State University, and North Carolina A&T State University, a Historically Black College and University (HBCU). Fellows are drawn from a diverse variety of institutional backgrounds, including computer science; environmental policy; earth and ocean sciences; and electrical, civil, computer, and environmental engineering.  Fellows work with a team of advisors to develop original data-driven research projects that they work on during the summer months.  Past participant projects include using satellite imaging to asses energy loss at solar energy facilities, constructing neural networks for use in predicting energy demand, modeling the energy consumed in the production of consumer products, and enhancing image datasets to allow for the identification of buildings with poor insulation. Six fellows will be supported in each year of the three-year grant period. Grant funds will primarily support student stipends, with additional funds devoted to various support activities, including mentorship, periodic workshops for student participants, and a conference allowing students and other researchers to showcase their work and allowing for networking opportunities with practitioners