Five-minute presentations by emerging scholars (Ph.D. students and other early-career researchers) as part of the Lightning Talks competition during the 2020 Energy Data Analytics Symposium (
bit.ly/edas2020).
The Symposium explored how machine learning and data science tools can improve our understanding of energy systems and manage them to be more accessible, affordable, reliable, and clean.
The Lightning Talks competition attracted 21 entries from emerging scholars at 12 universities and organizations. Judges assessed participants’ five-minute “lightning talks” on 1) compelling communication of the core ideas and outcomes of the project to an interdisciplinary audience; and 2) innovation and potential for impact of the energy application and data science methodology.
The 2020 Energy Data Analytics Symposium was organized by the Energy Data Analytics Lab at Duke University, and was supported by a grant from the Alfred P. Sloan Foundation.