Speaker：谭勇教授， 华盛顿大学福斯特商学院

Date：2022年6月15、17、20、22日上午9:00 -12:00

ZOOM meeting：84277374617

PW：693603

Abstract：

The objective of this series is to prepare you to be a specialist in advanced empirical methods. You are expected to , first: have a solid and critical understanding of estimation strategies for a number of advanced models, including but not limited to, treatment effects, hierarchical models, and latent variable models; second, start your own empirical research on management research or other related topics; and third, be able to communicate with the academic community. To this end, we will discuss leading papers in empirical Industrial Organization, Information Systems, Marketing, and other fields. Additionally, we will work on computational exercises designed to help you learn empirical estimation tools and verify theoretical understanding. Empirical research normally requires combining several inputs together: economics or behavioral theories; specific examples and institutional background; datasets and data coding; econometric tools and computation. We will study how previous researchers have combined these inputs together in their projects. However, the emphasis will primarily on the econometrics. Some level of computer programming with R will be required as well.

Bio：

Yong Tan is the Michael G. Foster Endowed Professor of Information Systems and Chair of Department of Information Systems and Operations Management at the Michael G. Foster School of Business, University of Washington, the Chang Jiang Scholar Visiting Chair Professor at the School of Economics and Management, Tsinghua University, and a Distinguished Fellow of the INFORMS Information Systems Society. He was the founding Associate Director of the USTC-UW Institute for Global Business and Finance Innovation. He received his Ph.D. in Physics, advised by 2016 Nobel Laureate Professor David J. Thouless, and Ph.D. in Business Administration, both from the University of Washington. His research interests include electronic, mobile and social commerce, big data, AI, economics of information systems, social and economic networks, sharing economy, fintech, and health IT. He has published over 80 papers in Management Science, Information Systems Research, Operations Research, Management Information Systems Quarterly, INFORMS Journal on Computing, IEEE/ACM Transactions on Networking, IEEE Transactions on Software Engineering, IEEE Transactions on Knowledge and Data Engineering, among others. He served as an associate editor of Information Systems Research and Management Science, and is now a senior editor of Information Systems Research. He was a co-chair of Conference on Information Systems and Technology (CIST 2010), the cluster chair of 2012 INFORMS Information Systems Cluster, a track co-chair of International Conference on Information Systems (ICIS 2013, 2021), a co-chair of Workshop on Information Technologies and Systems (WITS 2014), and a co-chair of INFORMS Workshop on Data Science (2019). He received 2017 Management Science Best Paper Award in Information Systems, Association for Information Systems (AIS) Best Publication of 2012 Award, and 2012 Information Systems Research Best Paper Runner-Up Award. He has placed his doctoral students in top information systems programs such as Carnegie Mellon University, Purdue University, Indiana University, University of Notre Dame, University of Texas at Dallas, Georgia State University, University of Florida, Arizona State University, and University of California, Irvine.