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Financial Math Seminar

Testing the factors driving human cooperation based on the big data from the online worlds

  • 演讲者:蒋志强(华东科技大学)

  • 时间:2021-11-10 10:00-11:00

  • 地点:腾讯会议 ID 720 661 827

Abstract

Network reciprocity, direct reciprocity, and indirect reciprocity are widely recognized mechanisms for the emergence of cooperation, but hardly verified in real-world environments, especially because they coexist. With a unique data set from online societies, we are able to extract measurements of cooperation mechanisms from social ties and of cooperation strength from cooperative activities, which allow us to uncover their causality relationships with econometric models. Our results highlight the great importance of social network on promoting cooperation. However, when social connections are absent, the cooperation encouraging effect dramatically shrinks for upstream indirect reciprocity and disappears for downstream indirect reciprocity, indicating that social network is a pivotal factor to transmit gratitude and build reputation. Our results not only deepen our understanding on the simultaneous effects of multiple mechanisms on the evolution of cooperation, but also provide a new research framework for empirically detecting the causal factors of cooperative actions in real worlds.


Short bio 
蒋志强,华东理工大学商学院教授。主要研究方向:极端金融风险管理、合作演化建模与实证。先后主持国家自然科学基金 4 项、教育部博士点基金 1 项、中国工程院战略咨询项目子课题 1 项,上海市哲学社会科学规划一般课题 1 项。入选上海市青年拔尖人才、上海市晨光学者;获 2016 年上海市自然科学奖二等奖(排名第二),2018 年上海市高校青年教师课堂教学竞赛优秀奖;入选 2020 年度爱思唯尔“管理科学与工程”领域中国高被引学者榜单。