Energy Data Analytics Symposium at Duke University
How can data science tools including artificial intelligence help us make energy systems more accessible, affordable, reliable, and environmentally sustainable? This single-track event will explore leading approaches addressing this question, highlighting the work of established experts and energy professionals as well as emerging scholars in the field.
In particular, the symposium will examine how data science and machine learning are driving innovation in these areas: remote sensing for energy and climate data; ethics and social responsibility for energy and climate data analytics; energy systems modeling; and energy access.
US Energy Information Administration (EIA) Administrator Dr. Joseph DeCarolis will keynote the symposium, which will also feature panels and plenty of networking opportunities. This event will provide an opportunity for dialogue between 100+ practitioners, academics, and policymakers engaged in data-driven energy research around the country. To help integrate emerging scholars into this broader community, the event will feature five-minute lightning talks showcasing work or sharing a big idea.
ORGANIZERS AND FUNDING
The symposium is organized by the Energy Data Analytics Lab at Duke University's Nicholas Institute for Energy, Environment & Sustainability and the Energy Analysis and Policy (EAP) Program at the University of Wisconsin-Madison. Funding support is provided by a grant from the Alfred P. Sloan Foundation and NASA.
This event follows up on the Energy Data Analytics Symposium: Transforming Energy Systems with Data Science Techniques (Dec. 2020).
This event is aligned with the Duke Climate Commitment, which unites the university's education, research, operations and public service missions to address the climate crisis.
Note: Conclusions reached or positions taken by researchers or other grantees represent the views of the grantees themselves and not those of the Alfred P. Sloan Foundation or its trustees, officers, or staff.