ZENG, Shipei
POSITION/TITLE
Research Scientist
RESEARCH FIELD
Digital Economy, Economic Statistics, Computational Social Science
shipei.zeng@sribd.cn
EDUCATION BACKGROUND
Ph.D. Economics, University of New South Wales, Australia
M.A. & B.A. Economics, Renmin University of China, China
BIOGRAPHY
Shipei Zeng is a Research Scientist at the AIM Center of Shenzhen Research Institute of Big Data. He earned his bachelor’s and master’s degrees from Renmin University of China before obtaining his Ph.D. from the University of New South Wales in Australia. His research interests span the digital economy, economic statistics, and computational social science.
In the realm of research output, Zeng developed the “dfvad”, an open-source R language tool for economic measurement index number methods, which has been officially approved by CRAN. His work has been widely recognized, with numerous publications in academic journals such as the Journal of Forecasting, Computational Economics, and Information and Software Technology. Moreover, he holds several national invention patents for his innovative digital algorithms.
Actively involved in research projects, Zeng has taken on the roles of either a project leader or a primary participant in a range of national, provincial, and municipal-level research initiatives. These include the project funded by the National Natural Science Foundation of China and the one from the Jiangsu Provincial Decision-Making Consultation Research Base.
In addition to his work at the Shenzhen Research Institute of Big Data, Zeng serves as an Adjunct Scholar at the School of Humanities and Social Science of The Chinese University of Hong Kong, Shenzhen, where he explores computational social science. He is also dedicated to promoting the practical application of technological achievements. This involves leveraging, for example, generative AI evaluation, explainable AI, and ensemble learning in government-related areas such as Government Services and Data Management, Talent Work, and Science, Technology and Innovation. Furthermore, he applies these in corporate projects across sectors like finance, energy, and telecommunications, thereby bridging the gap between research and real-world implementation.
