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Clean Energy Data Science Challenge

Using Data Science to Expand Access to Clean Energy Around the World.
More than a billion people globally lack access to electricity and another billion lack access to reliable electricity, greatly impacting education, health, social and economic development. A major barrier to investment in this space is a lack of visibility into many countries’ renewable energy potential.

Your challenge is to find new ways to map this potential. Can you leverage multiple data sources to do, in two days, what could otherwise take many months (and millions of dollars) with traditional methods?

Creating actionable insights through algorithms, programs, and applications could be a game-changer for entrepreneurs, investors, and policymakers around the world and help to improve the lives of millions of people.

Later Event: April 12
NREL Emerging Markets Day