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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Omar AsensioResearch by Omar Asensio, assistant professor in the School of Public Policy, was featured in the article "Deep Science: AI adventures in arts and letters," published March 5, 2021 in Televisor.
The article features examples of applications of artificial intelligence and machine learning systems applied to the humanities and social sciences. Asensio has used machine learning to comb through reviews of electric vehicle charging systems and extract larger conclusions from the dataset.
Excerpt:
You arrive at a charge point for your electric car and find it to be out of service. You might even leave a bad review online. In fact, thousands of such reviews exist and constitute a potentially very useful map for municipalities looking to expand electric vehicle infrastructure.
Georgia Tech’s Omar Asensio trained a natural language processing model on such reviews and it soon became an expert at parsing them by the thousands and squeezing out insights like where outages were common, comparative cost and other factors.
