About me

Yin Chun Lin

Ph.D. Candidate in Data-Driven Social Science National Taipei University of Technology Visiting Scholar at The Pennsylvania State University

I am a Ph.D. candidate in data-driven social science working at the intersection of academic research, innovation systems, and higher education. My research examines how knowledge production and collaboration networks shape innovation outcomes across different contexts (see projects).

My work combines econometric, bibliometric, and computational approaches to analyze large-scale data on scientific publications, patents, and institutional collaboration. I am particularly interested in the bidirectional dynamics between academic research and industrial innovation, as well as the role of international collaboration and policy environments in shaping these processes (see publications).

Methodologically, I use spatial analysis, time-series models, and natural language processing to study patterns in knowledge production and innovation systems. I also engage in teaching and academic service related to data-driven social science and higher education (see teaching).

More details about my academic background, experience, and research activities can be found in my CV.