开始日期: 2023-11-03

　　课时安排: 7周在线小组科研学习+5周不限时论文指导学习

　　适合人群

　　适合年级 (Grade): 高中生/大学生

　　适合专业 (Major): 微观经济学、行为经济学、实验经济学、心理学、互联网经济、社交经济、社会学等专业或希望修读相关专业的学生;具备经济学、社会学基础知识的学生优先

　　导师介绍

　　Edoardo

　　剑桥大学 University of Cambridge终身教授

　　Edoardo导师于2011年获得哈佛大学物理和数学学士学位，并在牛津大学获得经济学博士学位，研究网络经济学与微观经济学。他的主要研究主题是研究社会网络结构在决定个人行为和经济结果中的作用。他的研究结合了理论和实验经济学的方法。目前研究的主要焦点是UbiquityLab的开发，这是一个新的平台，可以进行大规模的在线实验，参与者之间可以进行实时交互。导师现在主要的研究兴趣是: 网络科学与经济学，实验经济学，行为经济学和经济发展。

　　Professor Edoardo gained his BA in Physics and Mathematics from Harvard University and his PhD in Economics from the University of Oxford in 2011 for research on the economics of networks. The primary theme of his research is to study the role of the structure of social networks in determining individual behaviour and economic outcomes. His research combines theoretical and experimental methods. At the moment the main focus of the research is the development of UbiquityLab, a novel platform to conduct large-scale online experiments with real-time interactions among participants.

　　He took up his post as University Lecturer in Cambridge in 2012. His research interests are:

　　Networks

　　Experimental Economics，Behavioral Economics and Network Economics.

　　任职学校

　　剑桥大学，是一所世界顶尖的公立研究型大学，坐落于英国剑桥。其与牛津大学并称为牛剑，是罗素大学集团成员，被誉为“金三角名校”和“G5超级精英大学”。剑桥大学是英语世界中第二古老的大学，前身是一个于1209年成立的学者协会。 2019-20年度位居THE世界大学声誉排名第4。2020-21年度位居世界大学学术排名第3 、THE世界大学排名第6 、QS世界大学排名第7、U.S. News世界大学排名第9 。

　　项目背景

　　研究人员早就知道，人际关系和互动可以影响社会和经济活动的许多方面，包括移民、贸易、求职、投资行为、产品决策和社会流动。然而，传统上，分析和量化社会互动的经济影响一直是一个挑战，这在很大程度上是因为社交网络上缺乏大规模和有代表性的数据。在过去的几年里，研究人员利用Facebook和其他社交网络平台上的社交关系数据，在经济和金融领域的大量环境中扩大对社交网络作用的理解。例如，脸书在规模和覆盖面上都是独一无二的：截至2020年底，该社交网络在全球拥有28亿活跃用户，在美国和加拿大拥有2.58亿活跃用户，这为在人口规模上衡量现实世界的社交网络提供了难得的机会。自从这些新媒体社交数据公开发布以来，其他研究人员已经使用它研究了社会互动在广泛主题中的作用，包括项目参与中的同伴效应、股市参与、银行贷款、消费溢出、投票选择和洪水保险的采用。我们希望，数据的广泛可用性和新媒体下的社交平台发展会鼓励更多的研究人员加入这令人振奋的研究，探讨社会互动网络如何影响经济活动。

　　Researchers have long understood that social interactions can shape many aspects of social and economic activity, including migration, trade, job-seeking, investment behavior, product adoption decisions, and social mobility. Traditionally, however, it has been challenging to analyze and quantify the economic effects of social interactions, in large part because of the absence of large-scale and representative data on social networks. Over the past years, researchers have worked with deidentified data on social connections from Facebook and other social network platform to expand the understanding of the role of social networks across a large number of settings in economics and finance. For examle, Facebook is unique in its scale and coverage: at the end of 2020, the social network had 2.8 billion active users globally and 258 million active users in the United States and Canada, providing a rare opportunity to measure real-world social networks at population scale. Since the public release of the SCI data, other researchers have used it to study the role of social interactions across a wide range of topics, including peer effects in program participation, stock market participation, bank lending, consumption spillovers, voting choices, and the adoption of flood insurance. We hope that the wide availability of the data encourages even more researchers to join the exciting study of how social interactions affect economic activity.

　　项目介绍

　　许多人关心周围的人如何看待他们，从而改变自己本心的选择和决策。最近几次行为经济学领域的实验发现，这种对社会形象的关注可以对一系列行为产生强大的影响。社会交际网络和人际关系的发展已经不单纯局限在“社交”本身，社交对人们的购买行为，决策和经济活动都起到了巨大的作用。因此，本课程将向学生介绍社交网络科学与行为经济学。这一研究领域是在过去二十年中出现的，它为科学家引入了一套全新的工具，将网络结构纳入个人行为和经济结果的分析中。本课程涵盖的主题包括网络的形成和结构、社交网络的负面压力、小规模线下的社交网络与数字媒体网络在经济行为中的影响以及金融网络。在项目中，导师与学生将利用课堂上的现场互动在线实验，并结合实例讨论。

　　Many people care about how they are perceived by those around them. Several recent field experiments in economics have found that such social image concerns can have powerful effects on a range of behaviors. The course introduces students to the science of networks. This area of research has emerged in the last two decades and it has introduced a set of tools for scientists to incorporate network structure in the analysis of individual behaviour and economic outcomes. Topics covered include the formation of networks, the provision of local public goods, coordination, learning, trading, and financial networks. A central focus of the course is the interplay between theory and experiments.

　　项目大纲

　　网络科学结构和实验方法论 An introduction to network science and the experimental methodology

　　社会网络和对等压力的传播 Diffusion through networks and peer pressure

　　社区人际关系中的决策，行为和游戏作用 The influence of local network structures; Decisions, behavior, and games on networks

　　金融网络 Financial networks

　　项目回顾与成果展示 Program Review and Presentation

　　论文辅导 Project Deliverables Tutoring

　　项目收获

　　7周在线小组科研学习+5周不限时论文指导学习 共125课时

　　项目报告

　　优秀学员获主导师Reference Letter

　　EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等级别索引国际会议全文投递与发表指导(可用于申请)

　　结业证书

　　成绩单

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