{"674301":{"#nid":"674301","#data":{"type":"news","title":"Georgia Tech Microsoft CloudHub Partnership Explores Electric Vehicle Adoption","body":[{"value":"\u003Cp\u003EWith new vehicle models being developed by major brands and a growing supply chain, the electric vehicle (EV) revolution seems well underway. But, as consumer purchases of EVs have slowed, car makers have backtracked on planned EV manufacturing investments. A major roadblock to wider EV adoption remains the lack of a fully realized charging infrastructure. At just under 51,000 public charging stations nationwide, and sizeable gaps between urban and rural areas, this inconsistency is a major driver of buyer hesitance.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cblockquote\u003E\u003Cp\u003E\u003Cem\u003EHow do we understand, at a large scale, ways to make it easier for consumers to have confidence in public infrastructure? That is a major issue holding back electrification for many consumer segments.\u003C\/em\u003E\u003C\/p\u003E\u003C\/blockquote\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cem\u003E- Omar Asensio, Associate Professor at Georgia Institute of Technology and Climate Fellow, Harvard Business School | Director, Data Science \u0026amp; Policy Lab\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EOmar Asensio, associate professor in the School of Public Policy and director of the Data Science and Policy Lab at the Georgia Institute of Technology, and his team have been working to solve this trust issue using the Microsoft CloudHub partnership resources. Asensio is also currently a visiting fellow with the Institute for the Study of Business in Global Society at the Harvard Business School.\u003C\/p\u003E\u003Cp\u003EThe CloudHub partnership gave the Asensio team access to Microsoft\u2019s Azure OpenAI to sift through vast amounts of data collected from different sources to identify relevant connections. Asensio\u2019s team needed to know if AI could understand purchaser sentiment as negative within a population with an internal lingo outside of the general consumer population. Early results yielded little. The team then used specific example data collected from EV enthusiasts to train the AI for a sentiment classification accuracy that now exceeds that of human experts and data parsed from government-funded surveys.\u003C\/p\u003E\u003Cp\u003EThe use of trained AI promises to expedite industry response to consumer sentiment at a much lower cost than previously possible. \u201cWhat we\u2019re doing with Azure is a lot more scalable,\u201d Asensio said. \u201cWe hit a button, and within five to 10 minutes, we had classified all the U.S. data. Then I had my students look at performance in Europe, with urban and non-urban areas. Most recently, we aggregated evidence of stations across East and Southeast Asia, and we used machine learning to translate the data in 72 detected languages.\u201d\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cblockquote\u003E\u003Cp\u003E\u003Cem\u003EWe are excited to see how access to compute and AI models is accelerating research and having an impact on important societal issues. Omar\u0027s research sheds new light on the gaps in electric vehicle infrastructure and AI enables them to effectively scale their analysis not only in the U.S. but globally.\u003C\/em\u003E\u003C\/p\u003E\u003C\/blockquote\u003E\u003Cp\u003E\u003Cem\u003E- Elizabeth Bruce, Director, Technology for Fundamental Rights, Microsoft\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EAsensio\u0027s pioneering work illustrates the interdisciplinary nature of today\u2019s research environment, from machine learning models predicting problems to assisting in improving EV infrastructure. The team is planning on applying the technique to datasets next, to address access concerns and reduce the number of \u201ccharging deserts.\u201d The findings could lead to the creation of policies that help in the adoption of EVs in infrastructure-lacking regions for a true automotive electrification revolution and long-term environmental sustainability in the U.S.\u003C\/p\u003E\u003Cp\u003E- Christa M. Ernst\u003C\/p\u003E\u003Cp\u003ESource Paper: \u003Ca href=\u0022https:\/\/nam06.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS2772424723000069%3Fvia%253Dihub\u0026amp;data=05%7C01%7CElizabeth.Bruce%40microsoft.com%7Cc07315cbc84d409eb76e08dbbf923595%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638314406923260091%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C\u0026amp;sdata=16jTMwN9LWWr3ZxT%2F7DFQINExnxZ5Q93NWhKCg1lu6c%3D\u0026amp;reserved=0\u0022\u003EReliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach - ScienceDirect\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":[{"value":"Business and government sectors are embracing electric vehicles, but are U.S. drivers on the same road?"}],"field_summary":[{"value":"\u003Cp\u003EWith new vehicle models being developed by major brands and a growing supply chain, the electric vehicle (EV) revolution seems well underway. But, as consumer purchases of EVs have slowed, car makers have backtracked on planned EV manufacturing investments. A major roadblock to wider EV adoption remains the lack of a fully realized charging infrastructure.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Business and government sectors are embracing electric vehicles, but are U.S. drivers on the same road?"}],"uid":"27863","created_gmt":"2024-04-22 18:04:22","changed_gmt":"2025-01-25 16:46:44","author":"Christa Ernst","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-04-22T00:00:00-04:00","iso_date":"2024-04-22T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673795":{"id":"673795","type":"image","title":"Omar Asensio Azure Press","body":"\u003Cp\u003EOmar Asensio is Associate Professor at Georgia Institute of Technology and Climate Fellow, Harvard Business School\u003C\/p\u003E\r\n","created":"1713808560","gmt_created":"2024-04-22 17:56:00","changed":"1713808773","gmt_changed":"2024-04-22 17:59:33","alt":"Omar Asensio is Associate Professor at Georgia Institute of Technology and Climate Fellow, Harvard Business School","file":{"fid":"257233","name":"Asensio Azure News Banner.png","image_path":"\/sites\/default\/files\/2024\/04\/22\/Asensio%20Azure%20News%20Banner.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/22\/Asensio%20Azure%20News%20Banner.png","mime":"image\/png","size":551033,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/22\/Asensio%20Azure%20News%20Banner.png?itok=r7FIFNOd"}}},"media_ids":["673795"],"groups":[{"id":"545781","name":"Institute for Data Engineering and Science"}],"categories":[{"id":"142","name":"City Planning, Transportation, and Urban Growth"},{"id":"42901","name":"Community"},{"id":"131","name":"Economic Development and Policy"},{"id":"154","name":"Environment"},{"id":"132","name":"Institute Leadership"},{"id":"135","name":"Research"}],"keywords":[{"id":"187023","name":"go-data"},{"id":"187915","name":"go-researchnews"},{"id":"186857","name":"go-gtmi"},{"id":"186858","name":"go-sei"},{"id":"188084","name":"go-ipat"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39531","name":"Energy and Sustainable Infrastructure"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EChrista M. Ernst\u003Cbr\u003E\u003Cstrong\u003EResearch Communications Program Manager\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003ETopic Expertise: Robotics | Data Sciences| Semiconductor Design \u0026amp; Fab\u003C\/strong\u003E\u003Cbr\u003E\u003Ca href=\u0022https:\/\/research.gatech.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022\u0022\u003E\u003Cstrong\u003EResearch @ the Georgia Institute of Technology\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr\u003Echrista.ernst@research.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":["christa.ernst@research.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}