AsensioResearch.com | Georgia Tech
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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 Science and Policy Lab at Georgia Tech
For the latest research updates visit: https://datasciencepolicy.gatech.edu


Selected Publications

Artificial Intelligence and Detecting Behavioral Failures in EV Charging Infrastructure 
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)

Big Data and Connected, Smart Devices

Big Data and EV Charging Behavior with AI

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 Correcting Consumer Misperception
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​Published in Nature Energy (2019)
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 Real-time data from mobile platforms to evaluate sustainable transportation infrastructure 

Published in Nature Sustainability (2020)

Big Data and Information Policies

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The Effectiveness of US Energy Efficiency Labels

​​Published in Nature Energy (2017)

Big Data and Energy Conservation

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Nonprice Incentives and Energy Conservation

​Published in the Proceedings of the National Academy of Sciences (2015)

Big Data and Behavior Change

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 The Dynamics of Behavior Change
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Published in the Journal of Economic Behavior & Organization (2016)
Code and replication materials for current projects on GitHub
www.github.com/asensio-lab

As featured

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LOCATION​

Georgia Institute of Technology
CODA, 12th Floor South, S1213
756 West Peachtree Street
Atlanta, GA 30308

Home unit
D.M. Smith 317
​685 Cherry Street NW
​Atlanta, GA 30332-0345

OFFICE HOURS

By appt
asensio [at] pubpolicy.gatech.edu
Follow @AsensioResearch
Follow @DSPLab_gt
  • Home
  • Research
    • Research Team
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  • Teaching
  • CV
  • Contact Me