Data and Policy
Energy, Transportation and Smart Mobility
My team conducts randomized experiments and uses evidence from big data and machine learning algorithms as applied to public policy analysis.
Data and Policy
Data Science and Policy Lab at Georgia Tech
For the latest research updates visit: https://datasciencepolicy.gatech.edu
Selected Publications
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Artificial Intelligence and Detecting Behavioral Failures in EV Charging Infrastructure
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Dynamic Pricing and the Behavioral Economics of EV Charging
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Topic classification of electric vehicle consumer experiences with transformer-based deep learning
Published in Patterns (2021)
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A field experiment on workplace norms and electric vehicle charging etiquette
Journal of Industrial Ecology (2021)
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Big Data and Connected, Smart Devices |
Big Data and EV Charging Behavior with AI |
Correcting Consumer Misperception
Published in Nature Energy (2019) |
Real-time data from mobile platforms to evaluate sustainable transportation infrastructure
Published in Nature Sustainability (2020) |
Big Data and Information Policies
The Effectiveness of US Energy Efficiency Labels
Published in Nature Energy (2017) |
Big Data and Energy Conservation
Nonprice Incentives and Energy Conservation
Published in the Proceedings of the National Academy of Sciences (2015) |
Big Data and Behavior Change
The Dynamics of Behavior Change
Published in the Journal of Economic Behavior & Organization (2016) |
Code and replication materials for current projects on GitHub
www.github.com/asensio-lab
www.github.com/asensio-lab
As featured
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