Intellectual Property & Scholarly Data Analytics

We provide data-driven, evidence-based information that helps organizations make better strategic decisions in R&D, innovation policy, IP commercialization and licensing, and research collaboration.

Research topics

• R&D planning methodologies based on patent and scholarly literature analysis
• Business strategy and decision-making processes based on trademark data analysis
• Machine learning-based technology valuation systems
• Advanced patent technology recommendation algorithms for organizational R&D strategy
• Discovering business opportunities by linking patent and trademark data

Representative projects

"A business discovery framework for responding to social issues through intelligent linking of heterogeneous data and a technology-solution generation model" (National Research Foundation of Korea, Mid-Career Researcher Program); "Advancing valuation methodologies for AI technologies" (Korea Technology Finance Corporation, commissioned research)

Partners

Korean Intellectual Property Office, Korea Institute of Science and Technology Information, Korea Institute of Intellectual Property, Korea Technology Finance Corporation, and others