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About

Yuya Kajikawa is a prominent researcher at the intersection of science and technology studies, bibliometrics, and robotics policy, whose work has fundamentally advanced how scholars and policymakers understand the relationship between emerging technologies and societal needs. His most influential contribution, "Finding Linkage between Technology and Social Issue" (2013, 83 citations), pioneered a Literature Based Discovery approach to systematically connect technological developments with pressing social challenges such as aging populations and sustainability — providing decision-makers with rigorous, data-driven tools for strategic investment. Kajikawa has made substantial contributions to the field of social robotics, most notably through his widely cited bibliometric analysis of social robotics research (2017, 70 citations), which mapped the intellectual structure and evolution of a rapidly growing field. Complementing this, he explored how funding organizations shape research directions and how public sentiment influences technology adoption, offering a nuanced picture of robotics' societal trajectory. His innovative use of acknowledgment data, news analytics, and sentiment analysis demonstrates a rare methodological versatility. Together, his body of work equips researchers, engineers, and policymakers with frameworks for aligning technological innovation with genuine human needs — making him an essential voice in evidence-based science and technology policy.