School of Public Policy Professor and a Class of 1969 teaching fellow Omar Asensio will be presenting an IDEaS short talk on real-time intelligence in electric vehicle mobility. He will discuss the use of real-time data from digital platforms as a means to discover social and behavioral mechanisms of energy use in emerging electric vehicle (EV) charging infrastructure. He will also use data from the world’s most popular EV charging station locator app to evaluate consumer sentiment and test theoretical predictions about government service provision in public versus privately managed charging infrastructure. Dr. Asensio will discuss the results of a real-time pricing experiment with a large U.S. automaker to examine whether behavioral “nudges” can motivate more efficient resource sharing among employees and peer groups as complements to price policies

Dr. Asensio's research focuses on the intersection of big data and public policy, with applications to energy systems and behavior, smart cities, vehicle electrification and applied machine learning in transportation and smart mobility. He is a faculty affiliate at the Institute for Data Engineering & Science (IDEaS), the Machine Learning Center, the Strategic Energy Institute, and the Climate and Energy Policy Laboratory. Dr. Asensio was recently awarded the 40 for 40 early career fellowship by the Association for Public Policy Analysis and Management.

Click the link for more infromation on Dr. Asensio's talk: http://ideas.gatech.edu/hg/item/612775.