Data Science Research Center Seminar | Intelligent Economic: An Explainable AI Approach | Luyao Zhang, assistant professor of economics
Abstract: The Industry 4.0 revolution empowers data science for interdisciplinary research. However, there is no consensus on how data science can contribute to answering fundamental economic questions. We first elaborate Explainable AI as a promising approach where data science and economics can meet. Then, in the spirit of Explainable AI, we illustrate three interdisciplinary research methods of simulation, analysis and experimentation. Our research relates to behavioral science, sustainability, financial technology (fintech), and beyond. The presentation is intended for a general audience.
Speaker: Luyao (Sunshine) Zhang is assistant professor of economics at Duke Kunshan and a senior research scientist in the Data Science Research Center. She is also associate editor for IEEE Transactions on Computational Social System. She has an abiding passion for interdisciplinary collaborations, especially related to behavioral science (game theory and mechanism design), artificial intelligence (machine learning), fintech (cryptocurrency and blockchain), and interdisciplinary big data. Her research has appeared in economic journals including American Economic Review: Papers and Proceedings, the Review of Economics and Statistics, the World Economy, Remote Sensing, Journal of Digital Earth, and Data and Information Management.
The talk will be in English and is open to all members of DKU community.
Last registration by 12pm, April 20
For questions, contact Ivy Xu: firstname.lastname@example.org