时间：
第一期 2021年3月1日~2021年5月31日
第二期·2021年5月15日~2021年7月15日
第三期·2021年6月10日~2021年8月10日
第四期·2021年7月10日~2021年9月10日
第五期 2021年8月1日~2021年10月1日
地点：线上科研，疫情结束后可安排实地科研
学校介绍
剑桥大学（University of Cambridge；勋衔：Cantab），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，与牛津大学、伦敦大学学院、帝国理工学院、伦敦政治经济学院同属“G5超级精英大学”。八百多年的校史汇聚了牛顿、开尔文、霍金、达尔文、图灵等学术巨匠。
科研主题
Panel/Global Vector Autoregressive Models(PVAR/GVAR)
Long-run Structural Macroeconometrics
Estimation and Inference
Hypothesis Testing
Model Selection
招募对象
1. 计划申请英国名校金融、经济、商科等相关专业的大学生；
2. 有一定科研经验履历优先
科研地点
线上科研，疫情结束后可安排实地科研
科研导师
剑桥大学教授
科研特点
1.科研项目是由剑桥大学举办，真实参与英式科研；
2.导师背景强悍，科研经验丰富；优秀候选人可以获得剑桥教授交谈提前进入录取评估环节的机会；
3.项目内容全面、真实；
4.剑桥导师亲自辅导学生完成学习课题研究
案例介绍
本文作者Y同学，国内一名本科生，大三，雅思7分。大一大二的时候就决定，本科毕业后要到英国读研究生。为了能够升入英国G5大学（剑桥、牛津、伦敦政经、帝国理工、伦敦大学学院），和爸爸妈妈商量后，决定报名参加英国名校科研的选拔。参加英国名校科研，增加学术背景，开拓视野，获得真知。通过科研老师的辅导，获得到了英国剑桥大学科研录取名额。
科研获得录取后，经过科研申请老师与英国大学的积极沟通协调，英国大学特意安排了2位教授同时指导学生参与科研。双倍的知识量，双倍的收获。由于Y同学的华裔身份，大学教授特意将官方科研题目中与中国有关的课题，分配了一部分给她并带领Y同学参与其中。结合文化背景的优势，Y同学对英国科研课题的推进非常出色。（详见下文的科研总结）
参与剑桥大学的科研项目，可以更深入的扩充科研背景知识，熟悉英国名校的培养流程。Y同学认真参与教授课题，完成科研作业、科研报告，在科研结束后，顺利获得了两位教授的推荐信。其中一位教授给Y同学的推荐信中写到：“Y同学展示了很强的学习能力，进行数据分析的能力，以及发现数据之间相关性的洞察力。她是项目中最负责、最勤奋的学生之一，能提前完成每一项作业。”细节性、正面评价的推荐信内容，会极大促进英国G5大学的录取。
作为科研申请老师，我们对Y同学能够在学业上取得进步感到自豪，同时我们也想告诉每位参与英国名校科研的孩子，获得推荐信、科研报告、科研履历，其实仅仅是英国科研的基础性收获。更为重要的是，学生可以通过与顶尖学者、教授的交流，树立了长期的学术目标，让学术能力伴随着生命的成长而发展，让学术赞美生命！
美国英国科研就是背景提升，目标就是提高本、硕、博录取质量。
科研总结（节选）
本文是学生在英国大学科研学习时所写的感受，并在文后附录了学生的推荐信（节选），供学生及家长参考。
注：中文译文是编辑进行的整理，英语能力较好的学生和家长建议直接阅读英文。
Week 1 Learning Summary
The first week to Cambridge was a week of quick and state adjustment, fortunately I adapted quickly and soon integrated into study. The learning progress is as follows:
来到剑桥大学的第一周是快速适应和状态调整的一周，好在我适应得比较快，很快融入了英国的生活。学习进度如下：
1.A general understanding of the types and methods of Data Analysis.
2.Carry out the writing of an article with the topic of housing crisis in China, explore the solution to the housing crisis in China, through the collection and analysis of data for a more persuasive explanation, which focuses on the 'tenant-friendly' city.
……
5.The article is assigned to a paper entitled' The impact of coronavirus on Chinese economy' to analyze the impact of coronavirus outbreaks on china's economy from multiple perspectives by collecting the latest data.
……
1.对Data Analysis的类型和方法做大致的了解。
2.进行一篇文章的写作，以Housing crisis in China为题目，探索解决中国住房危机的方法，通过对数据的收集和分析进行更具说服力的解释，其中重点对tenant-friendly city进行了分析。
……
5.布置了一篇文章的写作，以The impact of coronavirus on Chinese economy为题目，通过收集最新数据，从多个角度分析冠状病毒的爆发对中国经济带来的影响。
……
Week 2 Learning Summary
Meaning of research:
The research focuses on data analysis, plus the analysis of entrepreneurial ecosystem and regional impact. Data analysis, as a necessary skill in academic research, is of great significance to the writing of papers, the participation of scientific research and academic research in the future. In addition, the research of entrepreneurial ecosystem found that, in recent years, the research on entrepreneurial ecosystem in China has increased, and the research around entrepreneurial ecosystem has formed lots of hot spots. In order to promote the development of the entrepreneurial ecosystem and promote the development of domestic innovation and entrepreneurship, it is necessary to strengthen the combination of theoretical research and practice in the future.
研究的意义:
研究的重点是数据分析，以及创业生态系统和区域影响的分析。数据分析作为学术研究的必备技能，对今后的论文写作、科研参与和学术研究都具有重要意义。此外，创业生态系统的研究发现，近年来我国对创业生态系统的研究有所增加，围绕创业生态系统的研究也形成了许多热点。为了促进创业生态系统的发展，促进国内创新创业的发展，未来有必要加强理论研究与实践的结合。
Research prospects:
Nowadays, with the rise of cloud computing, big data is widely used in the fields of grid operation, management and quality service, and is changing various industries and leading to the transformation of big data talents. China needs 1.8 million data talent over the next four or five years, according to data from 2018, but currently only about 300,000. Enterprises based on big data computing analysis storage, data mining, data analysis and other data industries are also booming, China needs more specialists in data analysis field.
The entrepreneurial ecosystem follows the trend of economic development in the 21st century. In the face of the country's strong promotion of mass entrepreneurship and innovation, more and more people choose to start a business, the number of entrepreneurs continues to rise, entrepreneurial environment continues to improve, the study of entrepreneurial ecosystem is becoming a hot topic.
研究前景:
如今，随着云计算的兴起，大数据被广泛应用于网格运营、管理和优质服务领域，并正在改变各个行业，导致大数据人才的转型。根据2018年的数据，中国在未来四五年内需要180万数据人才，但目前只有30万左右。基于大数据计算分析存储、数据挖掘、数据分析等数据行业的企业也在蓬勃发展，中国需要更多的数据分析领域的专家。
创业生态系统顺应了21世纪经济发展的趋势。面对国家大力推进大众创业、万众创新，越来越多的人选择创业，创业人数不断上升，创业环境不断改善，对创业生态系统的研究也成为热点话题。
Experience of Research:
This scientific research to Cambridge is my first research project, there is not much scientific research related experience, so I basically passively accept the state in the first two weeks, and adapt to the rhythm and difficulty of scientific research. Although there are still some questions about the task assigned by the professor, by talking to them, I gradually found the method of scientific research, how to collect and summarize the data, how to combine the existing data and find its relevance, so that I have a certain understanding of different aspects of analysis. Hopefully over the next two weeks, I'll be able to work on that and gain more experience and knowledge. Fighting!
经验的研究:
这次到剑桥的科研是我的第一个科研项目，没有太多的科研相关经验，所以我基本上是被动的接受了前两周的状态，适应了科研的节奏和难度。虽然仍有一些关于教授的任务分配的问题,通过与他们交谈,我逐渐找到了科学研究的方法,如何收集和总结数据,如何结合现有的数据和找到自己的相关性,所以我有一定的理解的不同方面分析。希望在接下来的两周内，我能够在这方面努力，获得更多的经验和知识。加油！
Week 3 Learning Summary
Research Progress:
Research has gone three-quarters and this is my third week at Cambridge. This week I had a further exchange with the two professors on the subject. The research progress is as follows:
1.Revise and discuss the previous article ‘The impact of coronavirus on China's economy’ and summarize the shortcomings in essay writing.
……
4.Learn the proper nouns and calculations in Comparison of continuous variables between two groups, and how to compare and analyze two sets of data through these quantities.
5.I am supposed to finish writing the fourth article which focus on ' The impact of Brexit on the UK economy and Chinese Economy’, and analyze from various aspects by collecting data information.
6.Arranged research work 4, using the computer to calculate the ……
研究进展:
研究已经进行了四分之三，这是我在剑桥的第三周。本周，我与两位教授就这个问题进行了进一步的交流。学习过程如下:
1.对前一篇文章《冠状病毒对中国经济的影响》进行了修改和讨论，总结了论文写作的不足之处。
4.学习两组连续变量比较中的专有名词和计算，以及如何通过这些量来比较和分析两组数据。
5.我要完成的第四篇文章是关于“英国脱欧对英国经济和中国经济的影响”，通过收集数据信息，从各个方面进行分析。
Week 4 and Learning summary
My research experience at Cambridge has ended. It has been a colorful month, with discussions with professor G and M and works on my own. With professor Guo, I started being exposed to specific methods of data collection and data analysis. In addition to do the revision, the weekly assignment is to complete one research work and write an article. The first week we focused on quantitative data analysis, and I had a general understanding of the variables. During the second and third week, we progressively discussed about descriptive statistics on the calculation of basic data and how to calculate standard error with standard deviation. Besides, I learned to create related histograms and other plots through excel. The final week we concentrated on the comparison of continuous variables between two groups, especially calculating p-value to judge if there are significant differences. Research work which aims at analyzing a sample of blood pressure data is comprehensive, and exercises are practical in order to deepen the theory. In total, I’ve done four articles, which were closely keeping up with the current news. From the novel coronavirus to Brexit, the latest information is changing all the time.
During this month, I gained not only theoretical knowledge but the practical skills of data processing and plot production as well. Here is the first rule I learned: When we analyze data, whether we choose to focus on details or just draw a general tendency depends on the depth of explanation we are going to give. In addition, my weakness is that I quoted many critical articles when writing the article, and my views converged with others, but I did not analyze them based on specific data, so as to obtain my own new understanding.
About the research project with Professor M, I spent my first two weeks focusing on methods of data collection and combination. As the beginning step of mixing up information, I did an excel consisting of the dataset, data resource, the shortcoming of the data, and the specific regions of countries that it aimed at. Though this procedure, my ability of selecting useful data and making combinations has improved. In the following two weeks, I focused on the specific research about the interaction between entrepreneurial ecosystems and population growth. In addition to control variables, I also had to find possible relation between two changeable groups of information. Assuming that the one of them would cause the other, I needed to find as many supports as possible to strengthen my point of view. Finally, I’ve written a report as my complete thought about the whole project.
学习总结
我在剑桥的研究经历结束了。这是一个丰富多彩的月份，我与G教授和M教授进行了讨论，并开始了自己的工作。在教授的带领下，我开始接触到数据收集和数据分析的具体方法。除了复习之外，每周的作业是完成一门功课并写一篇文章。第一周我们着重于定量数据分析，我对变量有了大致的了解。在第二周和第三周，我们逐步讨论了基础数据计算的描述性统计，以及如何用标准差计算标准误差。此外，我还学会了用软件制作相关的柱状图等。最后一周我们着重比较两组之间的连续变量，特别是计算p值来判断是否存在显著性差异。课程的目的是分析一个样本的数据是全面的，练习是实用的，以深化理论。我一共写了四篇紧跟时事的文章。从新型冠状病毒到英国脱欧，最新信息一直在变化。
在这个月中，我不仅获得了理论知识，还获得了数据处理和绘图制作的实践技能。这是我学到的第一条规则：当我们分析数据时，我们是选择专注于细节还是仅画一般趋势取决于我们将要给出的解释深度。另外，我的弱点是在撰写本文时引用了许多关键文章，并且我的观点与其他观点趋同，但是我并没有基于特定的数据对其进行分析，以获得自己的新理解。
关于与M教授进行的研究项目，我花了前两个星期的时间专注于数据收集和组合的方法。作为混合信息的第一步，我做了一个出色的工作，包括数据集，数据资源，数据的不足以及它针对的国家的特定区域。通过此过程，我选择有用数据和进行组合的能力得到了提高。在接下来的两周中，我重点研究了有关企业家生态系统与人口增长之间相互作用的具体研究。除了控制变量，我还必须找到两个可变信息组之间的可能关系。假设其中一个会引起另一个，我需要找到尽可能多的支持以加强我的观点。最后，我写了一份报告，作为对整个项目的完整思考。
推荐信（节选）
Y participated the Research Program at Cambridge in January 2020, and conducted a field study at my lab. On the first day when J joined us, I introduced my lab and colleagues to her detailly, and had a conversation on her motivation of joining us. From Y’s responses, I was clear about Y’s academic background as well as potential areas to be improved. Therefore, in the first week, she was assigned to conduct general studies in data analysis, since this methodology will be of great use in our entire program. Y adapted to this research-intense atmosphere soon. During our meeting Y could take these opportunities to report her progresses and ask me some questions she met. She demonstrated surprising flexibility in applying newly learned approaches to a specific topic, also she was good at logical thinking.
并在我的实验室进行了科研学习。在Y加入我们的第一天，我详细地向她介绍了我的实验室和同事，并就她加入我们的动机进行了交谈。从Y的回复中，我清楚地了解了Y的学术背景和有待提高的地方。因此，在第一周，她被分配去进行数据分析的一般研究，因为这种方法在我们整个项目中都很有用。Y同学很快就适应了这种研究紧张的气氛。每次见面沟通，Y同学可以借此机会汇报她的进展情况，并向我提出一些她遇到的问题。她表现出惊人的灵活性，将新学的方法应用到一个特定的主题，她也善于逻辑思维。
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