開始日期: 2023-11-03

　　課時安排: 7周在線小組科研學習+5周不限時論文指導學習

　　適合人群

　　適合年級 (Grade): 高中生/大學生

　　適合專業(yè) (Major): 微觀經濟學、行為經濟學、實驗經濟學、心理學、互聯網經濟、社交經濟、社會學等專業(yè)或希望修讀相關專業(yè)的學生;具備經濟學、社會學基礎知識的學生優(yōu)先

　　導師介紹

　　Edoardo

　　劍橋大學 University of Cambridge終身教授

　　Edoardo導師于2011年獲得哈佛大學物理和數學學士學位，并在牛津大學獲得經濟學博士學位，研究網絡經濟學與微觀經濟學。他的主要研究主題是研究社會網絡結構在決定個人行為和經濟結果中的作用。他的研究結合了理論和實驗經濟學的方法。目前研究的主要焦點是UbiquityLab的開發(fā)，這是一個新的平臺，可以進行大規(guī)模的在線實驗，參與者之間可以進行實時交互。導師現在主要的研究興趣是: 網絡科學與經濟學，實驗經濟學，行為經濟學和經濟發(fā)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.

　　任職學校

　　劍橋大學，是一所世界頂尖的公立研究型大學，坐落于英國劍橋。其與牛津大學并稱為牛劍，是羅素大學集團成員，被譽為“金三角名?！焙汀癎5超級精英大學”。劍橋大學是英語世界中第二古老的大學，前身是一個于1209年成立的學者協會。 2019-20年度位居THE世界大學聲譽排名第4。2020-21年度位居世界大學學術排名第3 、THE世界大學排名第6 、QS世界大學排名第7、U.S. News世界大學排名第9 。

　　項目背景

　　研究人員早就知道，人際關系和互動可以影響社會和經濟活動的許多方面，包括移民、貿易、求職、投資行為、產品決策和社會流動。然而，傳統上，分析和量化社會互動的經濟影響一直是一個挑戰(zhàn)，這在很大程度上是因為社交網絡上缺乏大規(guī)模和有代表性的數據。在過去的幾年里，研究人員利用Facebook和其他社交網絡平臺上的社交關系數據，在經濟和金融領域的大量環(huán)境中擴大對社交網絡作用的理解。例如，臉書在規(guī)模和覆蓋面上都是獨一無二的：截至2020年底，該社交網絡在全球擁有28億活躍用戶，在美國和加拿大擁有2.58億活躍用戶，這為在人口規(guī)模上衡量現實世界的社交網絡提供了難得的機會。自從這些新媒體社交數據公開發(fā)布以來，其他研究人員已經使用它研究了社會互動在廣泛主題中的作用，包括項目參與中的同伴效應、股市參與、銀行貸款、消費溢出、投票選擇和洪水保險的采用。我們希望，數據的廣泛可用性和新媒體下的社交平臺發(fā)展會鼓勵更多的研究人員加入這令人振奮的研究，探討社會互動網絡如何影響經濟活動。

　　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.

　　項目介紹

　　許多人關心周圍的人如何看待他們，從而改變自己本心的選擇和決策。最近幾次行為經濟學領域的實驗發(fā)現，這種對社會形象的關注可以對一系列行為產生強大的影響。社會交際網絡和人際關系的發(fā)展已經不單純局限在“社交”本身，社交對人們的購買行為，決策和經濟活動都起到了巨大的作用。因此，本課程將向學生介紹社交網絡科學與行為經濟學。這一研究領域是在過去二十年中出現的，它為科學家引入了一套全新的工具，將網絡結構納入個人行為和經濟結果的分析中。本課程涵蓋的主題包括網絡的形成和結構、社交網絡的負面壓力、小規(guī)模線下的社交網絡與數字媒體網絡在經濟行為中的影響以及金融網絡。在項目中，導師與學生將利用課堂上的現場互動在線實驗，并結合實例討論。

　　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.

　　項目大綱

　　網絡科學結構和實驗方法論 An introduction to network science and the experimental methodology

　　社會網絡和對等壓力的傳播 Diffusion through networks and peer pressure

　　社區(qū)人際關系中的決策，行為和游戲作用 The influence of local network structures; Decisions, behavior, and games on networks

　　金融網絡 Financial networks

　　項目回顧與成果展示 Program Review and Presentation

　　論文輔導 Project Deliverables Tutoring

　　項目收獲

　　7周在線小組科研學習+5周不限時論文指導學習 共125課時

　　項目報告

　　優(yōu)秀學員獲主導師Reference Letter

　　EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級別索引國際會議全文投遞與發(fā)表指導(可用于申請)

　　結業(yè)證書

　　成績單

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