Journal of China in Global and Comparative Perspectives

Abstract: This article argues for connected computers to be deployed in scientific and collaborative China/country studies in the age of globalization and ‘convergence of knowledge’. The hope is that it will appeal not only to researchers in artificial intelligence, machine learning, data mining, human–computer interaction, conceptual modelling, knowledge organization (KO), knowledge management (KM), library and information science (LIS), big data analytics, soft – and cognitive – computing and semantic web technology but also to China/country scholars and social and human scientists, on whose assumed expertise foreign policies are usually based. Rethinking country (China) – or area studies in a global context, the author – educated at Leiden University and believing he is breaking new ground in a troubled field of academic education and research – attempts to redesign, renew and uplift these studies by stressing the need for cross-disciplinary (as distinct but not separated from international) research and pleading for the use of the latest insights of computer scientists.

Keywords: machine learning, data mining, human computer interaction, digital library