密集科研項(xiàng)目：經(jīng)濟(jì)學(xué)課題：解析社交與人際關(guān)系如何影響人類(lèi)經(jīng)濟(jì)行為與決策---探究“閨蜜種草”和“朋友圈經(jīng)濟(jì)”背后的消費(fèi)與經(jīng)濟(jì)行為規(guī)律

導(dǎo)師學(xué)校介紹

劍橋大學(xué)，是一所世界頂尖的公立研究型大學(xué)，坐落于英國(guó)劍橋。其與牛津大學(xué)并稱(chēng)為牛劍，是羅素大學(xué)集團(tuán)成員，被譽(yù)為“金三角名?！焙汀癎5超級(jí)精英大學(xué)”。劍橋大學(xué)是英語(yǔ)世界中第二古老的大學(xué)，前身是一個(gè)于1209年成立的學(xué)者協(xié)會(huì)。2019-20年度位居THE世界大學(xué)聲譽(yù)排名第4。2020-21年度位居世界大學(xué)學(xué)術(shù)排名第3、THE世界大學(xué)排名第6、QS世界大學(xué)排名第7、U.S.News世界大學(xué)排名第9。

導(dǎo)師詳細(xì)介紹

導(dǎo)師昵稱(chēng)

Edoardo

導(dǎo)師級(jí)別

終身教授

導(dǎo)師學(xué)校

劍橋大學(xué)University of Cambridge

Edoardo導(dǎo)師于2011年獲得哈佛大學(xué)物理和數(shù)學(xué)學(xué)士學(xué)位，并在牛津大學(xué)獲得經(jīng)濟(jì)學(xué)博士學(xué)位，研究網(wǎng)絡(luò)經(jīng)濟(jì)學(xué)。他的主要研究主題是研究社會(huì)網(wǎng)絡(luò)結(jié)構(gòu)在決定個(gè)人行為和經(jīng)濟(jì)結(jié)果中的作用。他的研究結(jié)合了理論和實(shí)驗(yàn)方法。目前研究的主要焦點(diǎn)是UbiquityLab的開(kāi)發(fā)，這是一個(gè)新的平臺(tái)，可以進(jìn)行大規(guī)模的在線實(shí)驗(yàn)，參與者之間可以進(jìn)行實(shí)時(shí)交互。加洛博士的研究興趣是:網(wǎng)絡(luò)科學(xué)與經(jīng)濟(jì)學(xué)，實(shí)驗(yàn)經(jīng)濟(jì)學(xué)，行為經(jīng)濟(jì)學(xué)和經(jīng)濟(jì)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.Dr Gallo's research interests are:

Networks

Experimental Economics

Behavioral Economics

Network Economics

適合人群

方向：金融商科

專(zhuān)業(yè)：經(jīng)濟(jì)學(xué)

適合專(zhuān)業(yè)：社會(huì)學(xué)，心理學(xué)，經(jīng)濟(jì)學(xué)，社會(huì)心理學(xué)，微觀經(jīng)濟(jì)學(xué)，宏觀經(jīng)濟(jì)學(xué)，公共政策，消費(fèi)者心理，經(jīng)濟(jì)行為學(xué)，商業(yè)決策

項(xiàng)目?jī)r(jià)格：33800/19800

項(xiàng)目周期：4周在線小組科研+2周論文輔導(dǎo)

是否建議高中生學(xué)習(xí)：是

是否建議大學(xué)生學(xué)習(xí)：是

語(yǔ)言：英文

難度：低級(jí)/中級(jí)難度

建議具備的基礎(chǔ)：微觀經(jīng)濟(jì)學(xué)、行為經(jīng)濟(jì)學(xué)、實(shí)驗(yàn)經(jīng)濟(jì)學(xué)、心理學(xué)、互聯(lián)網(wǎng)經(jīng)濟(jì)、社交經(jīng)濟(jì)、社會(huì)學(xué)等專(zhuān)業(yè)或希望修讀相關(guān)專(zhuān)業(yè)的學(xué)生；具備經(jīng)濟(jì)學(xué)、社會(huì)學(xué)基礎(chǔ)知識(shí)的學(xué)生優(yōu)先

科研項(xiàng)目產(chǎn)出

4周在線小組科研學(xué)習(xí)+2周論文指導(dǎo)學(xué)習(xí)共125課時(shí)+不限時(shí)論文指導(dǎo)

學(xué)術(shù)報(bào)告

優(yōu)秀學(xué)員獲主導(dǎo)師Reference Letter

EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級(jí)別索引國(guó)際會(huì)議全文投遞與發(fā)表指導(dǎo)（可用于申請(qǐng)）

結(jié)業(yè)證書(shū)

成績(jī)單

學(xué)術(shù)報(bào)告

優(yōu)秀學(xué)員獲主導(dǎo)師Reference Letter

EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級(jí)別索引國(guó)際會(huì)議全文投遞與發(fā)表指導(dǎo)（可用于申請(qǐng)）

結(jié)業(yè)證書(shū)

成績(jī)單

項(xiàng)目介紹

許多人關(guān)心周?chē)娜巳绾慰创麄?，從而改變自己本心的選擇和決策。最近幾次經(jīng)濟(jì)學(xué)領(lǐng)域的實(shí)驗(yàn)發(fā)現(xiàn)，這種對(duì)社會(huì)形象的關(guān)注可以對(duì)一系列行為產(chǎn)生強(qiáng)大的影響。社會(huì)交際網(wǎng)絡(luò)和人際關(guān)系的發(fā)展已經(jīng)不單純局限在“社交”本身，社交對(duì)人們的購(gòu)買(mǎi)行為，決策和經(jīng)濟(jì)活動(dòng)都起到了巨大的作用。因此，本課程將向?qū)W生介紹網(wǎng)絡(luò)科學(xué)。這一研究領(lǐng)域是在過(guò)去二十年中出現(xiàn)的，它為科學(xué)家引入了一套全新的工具，將網(wǎng)絡(luò)結(jié)構(gòu)納入個(gè)人行為和經(jīng)濟(jì)結(jié)果的分析中。本課程涵蓋的主題包括網(wǎng)絡(luò)的形成和結(jié)構(gòu)、社交網(wǎng)絡(luò)的負(fù)面壓力、小規(guī)模線下的社交網(wǎng)絡(luò)與數(shù)字媒體網(wǎng)絡(luò)在經(jīng)濟(jì)行為中的影響以及金融網(wǎng)絡(luò)。在項(xiàng)目中，導(dǎo)師與學(xué)生將利用課堂上的現(xiàn)場(chǎng)互動(dòng)在線實(shí)驗(yàn)，并結(jié)合實(shí)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(xiàng)目背景

研究人員早就知道，人際關(guān)系和互動(dòng)可以影響社會(huì)和經(jīng)濟(jì)活動(dòng)的許多方面，包括移民、貿(mào)易、求職、投資行為、產(chǎn)品決策和社會(huì)流動(dòng)。然而，傳統(tǒng)上，分析和量化社會(huì)互動(dòng)的經(jīng)濟(jì)影響一直是一個(gè)挑戰(zhàn)，這在很大程度上是因?yàn)樯缃痪W(wǎng)絡(luò)上缺乏大規(guī)模和有代表性的數(shù)據(jù)。在過(guò)去的幾年里，研究人員利用Facebook和其他社交網(wǎng)絡(luò)平臺(tái)上的社交關(guān)系數(shù)據(jù)，在經(jīng)濟(jì)和金融領(lǐng)域的大量環(huán)境中擴(kuò)大對(duì)社交網(wǎng)絡(luò)作用的理解。例如，臉書(shū)在規(guī)模和覆蓋面上都是獨(dú)一無(wú)二的：截至2020年底，該社交網(wǎng)絡(luò)在全球擁有28億活躍用戶(hù)，在美國(guó)和加拿大擁有2.58億活躍用戶(hù)，這為在人口規(guī)模上衡量現(xiàn)實(shí)世界的社交網(wǎng)絡(luò)提供了難得的機(jī)會(huì)。自從這些新媒體社交數(shù)據(jù)公開(kāi)發(fā)布以來(lái)，其他研究人員已經(jīng)使用它研究了社會(huì)互動(dòng)在廣泛主題中的作用，包括項(xiàng)目參與中的同伴效應(yīng)、股市參與、銀行貸款、消費(fèi)溢出、投票選擇和洪水保險(xiǎn)的采用。我們希望，數(shù)據(jù)的廣泛可用性和新媒體下的社交平臺(tái)發(fā)展會(huì)鼓勵(lì)更多的研究人員加入這令人振奮的研究，探討社會(huì)互動(dòng)網(wǎng)絡(luò)如何影響經(jīng)濟(jì)活動(dòng)。

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(xiàng)目大綱介紹

網(wǎng)絡(luò)科學(xué)結(jié)構(gòu)和實(shí)驗(yàn)方法論 

An introduction to network science and the experimental methodology

社會(huì)網(wǎng)絡(luò)和對(duì)等壓力的傳播 Diffusion through networks and peer pressure

社區(qū)人際關(guān)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(wǎng)絡(luò) Financial networks

項(xiàng)目回顧與成果展示 Program Review and Presentation

論文輔導(dǎo) Project Deliverables Tutoring

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