معرفی
Keungoui Kim serves as an Assistant Professor in the Science, Technology, and Policy program within the Humanities, Arts, and Social Sciences Division at Underwood International College, Yonsei University. His research integrates social science theory with advanced computational methodologies to address complex policy challenges through interdisciplinary frameworks.
Dr. Kim's scholarly focus spans Science and Technology Policy, Computational Social Science, and Applied Artificial Intelligence, with particular expertise in network theory and evolutionary economic geography. His work examines innovation systems, technological capability development, and sustainable mobility transitions using cutting-edge AI techniques including graph convolutional networks and prompt engineering. The Social Science and Applied Artificial Intelligence (SAAI) Lab he directs pioneers methodological integration between social science foundations and computational approaches.
His recent publications demonstrate significant interdisciplinary breadth, with 2024-2025 works spanning innovation management (patent quality, firm performance), sustainable mobility business models, and specialized AI applications for legal document interpretation and urban transportation systems. Key methodological contributions include station-specific spatial feature integration in graph networks and domain-adapted prompt engineering for technical legal domains.
Dr. Kim leads multiple major research initiatives:
- Quantum Science Collaboration (2025, KE-QSTCC): Advancing Korea-Europe R&D networks in quantum technology
- Naver WEBTOON Project (2025-2028, IRKOM): Analyzing global content domination strategies
- STI Policy Research (2025, KISTEP): Examining policy responses to technological hegemony
- STP Frontier Research (2025-2028, Yonsei): Developing AI methodologies for policy analysis
- Energy Policy Study (2025, Korea Energy Agency): Assessing US policy shift impacts
He directs the Social Science and Applied Artificial Intelligence (SAAI) Lab, which develops computational frameworks combining social theory with statistical modeling and AI to address pressing societal challenges in technology governance and sustainable development.
