The HREA project aims to provide open access to new indicators of electricity access and reliability across the world. Leveraging satellite imagery with computational methods, these high resolution data provide new tools to track progress towards reliable and sustainable energy access across the world.
Brian Min is Associate Professor of Political Science and Research Associate Professor at the Institute for Social Research at the University of Michigan. He is the author of Power and the Vote: Elections and Electricity in the Developing World (Cambridge University Press, 2015). He has collaborated closely with the World Bank to develop new methods using remote sensing and statistical algorithms to monitor electrification efforts in settings including India, Ghana, Senegal, Mali, Kenya, Pakistan, and Vietnam. His current research focuses on the political targeting of power outages using satellite image time series data. His personal webpage can be found here .
Zach O'Keeffe is a data scientist with expertise in programming, big data, statistical analysis, data visualization, and geographic information systems. He has worked on multiple research projects at the University of Michigan and Stanford University. Learn more about him here .
Tristan Zhang graduated from the University of Michigan with majors in Mathematics and Data Science. His research focused on the intersection of machine learning, the social sciences, and healthcare. Learn more about him here .
Nisreen Bahrainwala graduated with a BS in Computer Science from the University of Michigan. Learn more about her here .
Priyamvada Trivedi received her PhD in Political Science from the University of Michigan. After graduating she became Associate Director of the Trivedi Centre for Political Data at Ashoka University. Learn more about her here .
High Resolution Electricity Access by Brian Min is licensed under CC BY 4.0
