On December 17, 2017, the 3rd Symposium on Network Economics & Big Data was grandly held at Meeting Room 2 of Jinchun Garden Hotel at Tsinghua University. The symposium was co-organized by the Institute of Economics, Schools of Social Sciences and Institute of Minsheng Economic Research, Tsinghua University. A number of renowned scholars and experts were invited to the symposium and had discussions around frontier issues regarding network economics and big data.
Firstly, Prof. Zhu Feng from Harvard Business School delivered a speech titled “Growing Platform Businesses”. Prof. Zhu put forward a platform-oriented Five Forces Model in his research, providing a general analytical framework for commercial value of platforms.
Then, Prof. Hong Han from Stanford University delivered a speech titled “OLS and 2SLS in randomized and conditionally randomized experiments”. His research mainly examines the estimation of treatment effect with OLS AND 2SLS in randomized experiments.
Prof. Hong Tao from University of North Carolina at Charlotte delivered a speech titled “Sharing in Power and Energy Grids”. And Wang Zhixi, an expert from Didi Innovation Center made a speech titled “Matching Supply and Demand on Online Platform: Practice and Challenges”.
Prof. Xiu Dacheng from The University of Chicago Booth School of Business delivered a speech titled “Empirical Asset Pricing via Machine Learning”. His research predicted stock return with machine learning methods and produced good effects.
Prof. Cao Jie from Chinese University of Hong Kong made a speech titled “Corporate Social Responsibility, Socially Responsible Investment and Stock Market Efficiency”. Based on an empirical study, he found that socially responsible investors were reluctant to buy underestimated shares with a low ESG score or sell overestimated shares with a high ESG score, and they might deviate from financially “best options” due to additional preferences or limitations, which he deemed was of significance to regulators.
Prof. Yu Le’an from Beijing University of Chemical Technology delivered a speech titled “Research on Big Data Credit Evaluation and Big Data Credit Reference”. He first introduced domestic and overseas development models and status quo of the credit reference industry, then described the method of generating credit scores and finally pointed out the thinking of big data credit reference system construction and challenges and problems faced by big data credit reference.
At last, Ms. Yang Hui, CEO Assistant of Talking Data and TDU Executive President, delivered a speech titled “Shaping the Future with a Data-based Insight—Introduction to TD Data Ecology and TDU Ecology Building”.
During the tea break and after the symposium, participants and guest speakers had heated exchanges and benefited a lot.
