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Ruowen Xu is a Postdoctoral Research Associate at King's Business School. He works on an Economic and Social Research Council project focusing on professional hybridizations and the epistemic practices within cryptoasset firms. His research explores credit rating systems, with a particular interest in modeling methodologies utilizing big data and machine learning technologies adapted from credit scoring algorithms. Drawing interdisciplinary insights, Ruowen investigates the social construction of big data and artificial intelligence technology, as well as the outcomes affecting consumers in the marketplace. He emphasizes the impact of professional collaborations among software engineers and finance professionals in blockchain firms. Ruowen obtained his PhD from Warwick Business School, United Kingdom, where his studies laid the groundwork for his current research interests in accounting and financial management, particularly in relation to new technologies shaping the financial professions.
Requirements are consistent across King's Business School and Social Science & Public Policy departments for standard Master's entries.