JCDL2023 Workshop: Innovation Measurement for Scientific Communication (IMSC) in the Era of Big Data

The increasingly mature artificial intelligence technologies, such as big data, deep learning, and natural language processing, provide technical support for research on automatic text understanding and bring development opportunities for innovative measurement of scientific communication. Innovation measurement in scientific communication is a challenging and cutting-edge direction in Informetrics. It is interdisciplinary, requiring considering the characteristics of different disciplines and different types of scientific outcomes to establish a comprehensive evaluation metrics system. On the other hand, metadata and content features should be considered to reflect the innovation of scientific works objectively and comprehensively. This workshop focuses on the discussion and produces enlightening outcomes. We will engage broad audiences to share their ideas and pre-productions, enabling an interdisciplinary approach to exploring frontier areas. This workshop consists of keynotes, oral presentations, and poster sessions and would attract interest from academic researchers, librarians, and decision-makers from governments and practical sectors.