Economic World Models Initiative
Economic decisions are usually made in the real world first and evaluated afterward. Economic World Models invert that workflow: they ask how we can build computable economies where heterogeneous agents observe, reason, act, interact, adapt, and co-evolve with markets and institutions before policies, strategies, or AI agents are deployed at scale.
We use AI to build economic sandboxes where we can explore scenarios, incentives, and policy choices quickly and transparently.
Lin William Cong
NTU President's Chair Professor; Associate Dean and Professor, Nanyang Business School
Lin William Cong is President's Chair Professor in Finance, Computing and Data Science at Nanyang Technological University, with joint appointments at Nanyang Business School and the College of Computing and Data Science.
His research spans financial economics, information economics, AI, FinTech, digital economy, entrepreneurship, tokenomics, blockchain and DeFi. He is also the Rudd Family Professor of Management and Finance at Cornell University, currently on leave.
Ye Luo
Associate Professor; Associate Director, Institute of Digital Economy and Innovation, HKU Business School
Ye Luo is an Associate Professor at HKU Business School, working across economics, finance, machine learning and high-dimensional econometrics.
He received his Ph.D. from MIT in 2015 and his B.S. from MIT in Mathematics and Economics in 2010. His work applies AI, big data methods and machine learning to automated trading, default risk prediction, dynamic demand prediction and natural language processing.
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Personal WebsiteBenyou Wang
Assistant Professor, School of Data Science, The Chinese University of Hong Kong, Shenzhen
Benyou Wang is an Assistant Professor at CUHK-Shenzhen and leads work connected with the CUHKSZ LLM group.
He received his Ph.D. from the University of Padova and joined CUHK-Shenzhen in 2022. His recent work covers large language models, reasoning, multimodal and medical AI, financial AI, user simulation and model evaluation.
Hongyuan Zha
Associate Director (Research), Shenzhen Institute of Artificial Intelligence and Robotics for Society
Hongyuan Zha is Associate Director (Research) of the Shenzhen Institute of Artificial Intelligence and Robotics for Society and Presidential Chair Professor at the Institute for Data and Decision Analytics, CUHK-Shenzhen.
He received his B.S. from Fudan University and his Ph.D. in scientific computing from Stanford University. His research fields include machine learning, computational mathematics and their applications.
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ProfileDacheng Tao
Distinguished University Professor, College of Computing and Data Science, NTU
Dacheng Tao is a Distinguished University Professor at Nanyang Technological University's College of Computing and Data Science and a leading scholar in artificial intelligence.
His work applies statistics and mathematics to AI, with more than 300 publications in leading journals and conferences. He has received major awards and is a Fellow of the Australian Academy of Science, Royal Society of NSW, World Academy of Sciences, AAAS, ACM and IEEE.
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Personal WebsitePin Gao
Assistant Professor, School of Data Science, CUHK-Shenzhen
Pin Gao is an Assistant Professor at the School of Data Science, CUHK-Shenzhen, and Assistant Professor by courtesy at the School of Management and Economics.
He is Deputy Director of the Feng1-CUHKSZ Joint Laboratory for Smart Retail. He received his Ph.D. in Industrial Engineering and Decision Analytics from HKUST, and his research interest focuses on platform operations management.