Biography
Dr Fanqi Zeng is a UKRI AI Metascience Fellow in the Department of Sociology, working on AI and the social sciences. His previous postdoctoral work in the same department centred on two projects: the Wellcome Trust-funded FORESFA (Forensic Epidemiology and Impact of Substandard and Falsified Antimicrobials on Public Health) and the European Research Council-funded CRIMGOV (Production, Trade and Governance: A New Framework for Understanding Organized Crime).
His doctoral research in the Department of Engineering Mathematics at the University of Bristol focused on investigating complex social and natural systems using both top-down (model-driven) and bottom-up (data-driven) methodologies, such as machine learning, agent-based modelling, network science, nonlinear dynamics, and data science. He is particularly interested in using interdisciplinary approaches to understand complex systems in our world, from micro to macro scales. His current research focuses on the impact and applications of AI, computational social science, and mixed-methods research. His work has been published in leading journals such as Science, Nature Cities, PNAS, and PNAS Nexus.
Research Interests