MINT Lab Projects

This project aims to identify the competencies required by young people based on industry demand in response to the diffusion of AI and digital technologies and the transformation of the media industry structure, and to propose policy improvements for government employment initiatives accordingly. To achieve this, we employ text mining to analyze the gap between job postings in the media industry (demand) and media education provided by universities and the government. 

Each year, numerous projects are carried out with ICT funds, and whether expenditures are properly executed or misused is typically determined by accounting firms. In this project, we developed a deep learning classification model to distinguish between proper and improper expenditures using ICT fund accounting data, which are highly imbalanced, structurally complex, and contain limited information for classification. 

This project quantitatively analyzes the competitive relationship between live commerce and TV home shopping, which share similar service characteristics. From a user perspective, the functional substitution between the two services is examined using niche analysis. From a provider perspective, their competitive relationship is further examined using social network analysis.