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Deep Learning News
Harnessing Data Analytics to Accelerate Energy Access: Reflections from a Duke-RTI Convening on Data for Development
This document presents a vision and summary of how development and scaling of new tools, and application of big data analysis principles, have the potential to transform energy systems planning, policy design and implementation, and investment decisions.
EAP receives Catalyst Grant!
Congratulations to the seven winners of the Nicholas Institute Catalyst Grants! We are delighted that this year’s winners includes EAP’s own Rob Fetter, who will be leading ‘Mapping Solar Photovoltaic Arrays Using Unpiloted Aerial Vehicles.’
New Data and Technologies are Transforming Energy Access
Technologies like geospatial imagery, machine learning and affordable batteries are generating ever more innovative ways to target customers with off-grid energy solutions. But according to analysts at the Duke University Energy Access Project, public policy is struggling to keep up with these rapid-fire developments, leaving vast amounts of human capacity and productivity untapped. They explore how to address this disconnect between government and the private sector.
Data for Development: Using Data Analytics to Accelerate Energy Access
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 Global Energy Access in Washington, DC on December 6, 2019.