Interdisciplinary Econ and PubP Team Published in Scientific Data

Posted October 6, 2021

Assistant Professor Omar Isaac Asensio in the School of Public Policy, Ph.D. student Camila Apablaza in the School of Public Policy, and undergraduate student Cade Lawson in the School of Economics co-authored a data descriptor article in Scientific Data. The paper, funded by the National Science Foundation, is titled "Electric vehicle charging stations in the workplace with high-resolution data from casual and habitual users.”

"This paper open-sources a dataset which details a few thousand individual electric vehicle (EV) charging sessions logged by nearly 100 different users, from which researchers in domains ranging from economics to power systems optimization can glean important information about the ways people use their EVs and how EV charging infrastructure may interact with the rest of the built environment," said Lawson, who graduated in 2021 and is now working on a master's degree in data analytics.

"By taking the time to thoroughly document, validate, and extend the contents of the dataset using this publication, we can break down barriers to use for the data and make it both more readily accessible and more scientifically valuable to other researchers working in the area of vehicle electrification," he continued. "We have already begun to see the payoff, as the data has been downloaded nearly 100 times since its open-source publication." 

Read the article in Scientific Data here: 
https://doi.org/10.1038/s41597-021-00956-1 

It is a companion article to the team's 2021 Journal of Industrial Ecology (Impact Factor 6.5) paper on incentives for EV charging published here: https://onlinelibrary.wiley.com/doi/abs/10.1111/jiec.13116