The Energy Access Project at Duke University (EAP) and RTI International cordially invite you attend the convening Data for Development: Using Data Analytics to Accelerate Energy Access in Washington, DC on December 6, 2019.
Achieving universal access to reliable electricity is crucial to improving broader development outcomes. The absence of consistent, reliable, and up-to-date data on energy services and outcomes prevents timely and effective decision-making on critical matters of policy and investment. Data analytics and machine learning offer great promise in data-poor environments for identifying existing conditions and measuring impacts, obviating the need for expensive ground surveys in many cases.
We have only just begun to scratch the surface on useful applications of data analytics and machine learning to support modern energy access. Accordingly, EAP and RTI are co-sponsoring a convening in Washington, D.C., on Friday, December 6, 2019, to bring together key players from research and practice communities working on energy analytics applications in the developing world. Our intent is to assess the state of knowledge and practice, facilitate collaborations, and identify existing and future data sources. The session aims to generate a briefing paper that documents the potential for machine learning and data analytics to contribute to a better understanding of the links between energy and socioeconomic development, and identifies the highest-priority opportunities, needs and barriers to further work at this intersection.