On December 21, 2022 (Wednesday), HUFS student teams won the Minister of Science and ICT’s Prize at the 2022 Big Contest held in Orchid Hall of Parnas Tower in the two leagues of data analysis innovation and data analysis champion, achieving the top honor for the second year in a row. 

 

In the data analysis innovation league, the top prize went to student club Quant Marketing Society’s (QMS) Team 428 of the HUFS College of Business (Dean Cho Joon-Seo). Led by student Gang Min-Seok (Business Administration, entry class of ’17), the team also includes students Park Won-Jung (English Literature and Culture, entry class of ’20), Seo Yong-Won (Graduate School of Business, entry class of ’22), Lee Soo-Hyun (Business Administration, entry class of ’19), and Choi Hyo-Mi (German Interpretation and Translation, entry class of ’17). The data analysis innovation league seeks data analysis-driven innovative solutions to newly emerging business challenges. Under the theme “Generation MZ’s green ESG Jeju Trip Itinerary Planning,” QMS Team 428 built a carbon footprint program to calculate the carbon footprint of different travel categories. Based on that analysis, the team created an eco-friendly itinerary for a three-night Jeju trip. The outcome received high praise from the judging panel for developing a green Jeju trip plan that can win the interest of Generation MZ based on academic theories in business administration and data analysis and also proposing a logical approach of coming up with the optimal level of CO2 emissions in terms of environmental sustainability. 

 

The top prize in the data analysis champion league was awarded to HUFS student team “Lost Kids Team.” The HUFS team includes students Ryu Seung-Gi (Brazilian Studies, entry class of ’17), Seo Gwang-Woo (Brazilian Studies, entry class of ’17), Lee Ji-Hwan (Linguistics & Cognitive Science, entry class of ’17), Lee Joo-Young (Hungarian, entry class of ’18), and Yoon Hye-Joo (Linguistics & Cognitive Science, entry class of ’19) from the Natural Language Processing-Based Deep Learning Technology Convergence Course at the 2022 Data Youth Campus (Data Youth Talent Cultivation Program, Director Doo Il-Chul). Driven by their passion for data analysis, these five students voluntarily created the team after completing their Data Youth Campus course and took part in the data analysis champion league, which aims to encourage youth to solve business challenges through data science modeling. For the task of developing a model for the selection of EV standard charging station sites in the City of Yongin, the team utilized Big Data processing and AI technology to pull data on the foot traffic, residents, and commuting population in different districts of the city to develop a model to identify the optimal EV charging sites that can satisfy the needs of citizens and businesses. The team was honored with the highest prize for its excellent outcome.