How can data science tools, including artificial intelligence, help us make energy systems more accessible, affordable, reliable and environmentally sustainable? This single-track, in-person 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
- 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.