Data for Development: Using Data Analytics to Accelerate Energy Access

Duke University | RTI International
Friday, December 6, 2019, 8:30am – 2:00pm
1201 Pennsylvania Ave NW, Suite 500, Washington D.C.

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, D.C. 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.
EAP and RTI are co-sponsoring this convening 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, identify existing and future data sources, and identify partners interested in collaborating to create a “Global Energy Data Commons.” 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 identify the highest-priority opportunities, needs and barriers to further work at this intersection.
We hope that you can join us for this event. Lunch and light refreshments will be provided.

Please RSVP by Tuesday, December 3 2019.

If you have any question please email energyaccess@duke.edu

Agenda

8:00–8:30 a.m. Registration + Coffee
 
8:30–8:40 a.m. Welcome + Overview
  • Rob Fetter, Duke University
  • Justin Baker, RTI
8:40–9:05 a.m. Opening: Toward a Global Energy Data Commons 
  • Jordan Malof, Duke University
9:05–10:30 a.m. Panel Discussion: Making data available and usable: Collection, interoperability, openness
  • Emily McAteer, Odyssey
  • James Rineer, RTI
  • Dan Sweeney, REEEP
  • Nathan Williams, Carnegie Mellon
10:30–10:50 a.m. Coffee Break
 
10:50 a.m.–12:15 p.m. Panel Discussion: Using data: Applications, frontiers, barriers
  • Robyn Meeks, Duke
  • Madeleine Gleave, Nithio
  • Melia Ungson, FRAYM
  • Bryan Koo, World Bank
  • Andrew Allee, RMI
12:15–12:45 p.m. Lunch + Networking
 
12:45-2:00 p.m. Seeded Roundtable Discussion:
Charting a course: next steps for collaboration and implementation
Discussion Seeds:
  • Jon Saiger, MCC
  • Amer Barghouth, RTI
  • Muchiri Nyaggah, Africa Open Data Network
Funding