2024 暑假牛津学术峰会（中国站）

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2024 牛津学术峰会（中国站）

时间：2024年7月15日-7月23日 | 主办方：Oxford Global

牛津大学教授、讲师和商业、科技领域牛津优秀校友担任学术导师

参会代表获Oxford Global官方结业参会证明，优秀学员将获学术奖项

优秀成果将有机会发表于 Oxford Global 峰会学术会刊

牛津导师带领高强度学术研讨，40+ 小时学术探索之旅

丰富的社交活动，关注学生社会交往能力的培养

牛津申请、学术写作、学术汇报、大学学习技巧四大专题学术工作坊

丰富的社交活动，关注学生社会交往能力的培养

牛津学术峰会 简介

牛津学术峰会（Oxford Global Summit for Young Leaders，OGSYL） 由 Oxford Global 协会主办。Oxford Global 协会是由牛津大学校友组成的全球性学术组织，旨在为全球高中与大学生提供平等的、高质量的学术论坛机会，其团队成员主要由牛津大学毕业的科学家、工程师、语言学家、律师、古典文学家、哲学家和经济学家组成。每年，来自全球 40 个国家的 6700 名青年参加了 Oxford Global 举办的各种主题学术峰会。官网：https://www.oxfordglobal.org/

牛津学术峰会（OGSYL）是Oxford Global 面向全球高中生的重要学术活动，创办于2018年，每年在牛津大学校园内举行。峰会旨在全球优秀的年轻人创造一个共同协作的学习环境，让他们有机会全心投入到应对不同学术领域的关键挑战。该峰会以发展学生创造性的解决现实世界问题的能力为目标，提供不同学术领域的课程，采取学术讲座 (lecture) 结合小班导师制 (tutorial) 等牛津大学经典教学方式，让与会代表在牛津大学教授与导师、行业专家和研究人员团队的指导下完成深度的学术研讨学习。

2022 年阿思丹（ASDAN China）与牛津学术峰会项目主办方 Oxford Global 达成战略合作，将高质量的学术峰会开放 给中国优秀学生。2022 年首次开放线上模式，全国共有 135 所学校的 200 名中国优秀学子参与。2023 年更是打破 了时空限制，开放牛津学术峰会中国线下站。2024暑假，牛津学术云峰会，重磅回归，开启相遇！

精彩回顾

 
2024暑假
照片集锦

为什么选择 牛津学术峰会（中国站）

体验牛津特色本科教育模式
学术讲座 (lecture) 结合学术指导 (tutorial) ，
多方位扩展学术视野
强大导师团队
每个学科领域由牛津大学导师、研究员、优秀校友带领，学生有机会和杰出导师面对面沟通交流，了解专业未来发展
会议高强度学术内容与高质量学术成果产出
优秀作品将发表峰会学术会刊
参会代表可获得官方参会结业证书
各学术主题 Top 15% 代表颁发特别学术奖项
培养名校所需素养
领导力、自信力、表达力、思维能力、团队合作能力等
牛津学院生活体验
丰富的晚间活动，体验牛津学院风格的学习与社交生活，如 Talent show、游戏嘉年华等

学科主题 （任选其一）

生物医学

分子生物学概论

INTRODUCTION TO MOLECULAR BIOLOGY

主题内容：随着生命科学和化学的不断发展，人们对生物体的认知已经逐渐深入到微观水平。从单个的生物体到器官到组织到细胞，再从细胞结构到核酸和蛋白的分子水平，人们意识到可以通过检测分子水平的线性结构 ( 如核酸序列 )。分子生物学技术都包含哪些？课程将重点关注可用于分析 DNA、RNA 和蛋白质的方法，包括单细胞技术——一种正在改变生物医学研究的新兴方法。课程还将介绍 R 语言（一种被生物医学研究人员广泛使用的编程语言）。

经济学

微观经济学概论

INTRODUCTION TO MICROECONOMICS

主题内容：微观经济学是商科、金融、经济学等专业的基础必修课，它不仅是研究个人决策行为的学科，还是当代经济科学的基础。在本课程中，你将学习经济学相关知识、经济学分支——微观经济学以及其在国际贸易中的应用，包括微观经济学理论（如 :机会成本理论、垄断理论等）、微观经济学体系框架、 经济学的基本数学工具（如：优化理论、博弈论）等。

工程

工程学入门

INTRODUCTION TO ENGINEERING

主题内容：本课程将带领你领略多重背景下的工程学。课程将从了解工程学的一些概念和数学基础开始，进而研究它们在不同领域中的应用。你还将学习工程学的不同分支，如电气工程和信息工程，让你真正了解它们之间的差异，并在自己选择的领域开展项目。项目期间，你还将研究物理、数学和计算机科学等不同学科如何在工程学中结合起来，为现实生活中的问题提供解决方案。

数学

气候变化时代的数学模型

MATHEMATICAL MODELLING IN THE AGE OF CLIMATE CHANGE

主题内容：在这门课程中，你将学习如何构建和应用数学模型来解决当代世界问题，尤其专注于气候变化。在本课程中，你将学习可用于预测海平面上升或天气状况的气候模型，以及数学家在缩小科学与政策决定之间的差距时所面临的挑战，除此之外，你还将学习数学建模的基本技能，例如线性和非线性模型，不同类型的变量以及建立可靠预测的困难，让你对当前应用数学领域的挑战有一定的了解。

化学

化学与可持续发展

THE EVER GROWING APPLICATIONS OF CHEMISTRY IN THE WORLD OF SUSTAINABILITY

主题内容：当提到化学时，我们可能会想到有毒化学品或危险品。但实际上，化学是推动可持续发展最迅速的新兴领域之一，化学研究是未来可再生能源供应的关键。绿色化学，顾名思义，就是在应用化学时要牢记环境保护与人类安全原则。这门课程将帮助学生详细了解如何应用化学来建立更可持续发展的世界，并利用这一领域中正在开展的一些最有意义的研究工作中所获得的实例来说明科学家们是如何尝试把化学原理与可持续性相结合的。

法律

21 世纪环境法概论

ENVIRONMENTAL LAW IN THE 21ST CENTURY

主题内容：本课程将介绍国际公法 / 国际环境法，并概述国际法的原则和概念，包括国际法的起源、国际机构的作用以及国际争端的解决。课程会着重探讨环境保护的关键问题，并介绍与其相关的国际法的发展历程，你将有机会深入探究环境保护的国际法律框架并了解各种环境挑战，如气候变化、生物多样性丧失和海洋保护。此外，你将学习可用于解决这些挑战的法律机制。通过学习国际环境法和应对环境挑战的法律机制，学生将具备实现环境保护目标所需的知识和技能。通过案例研究和对实例的批判性分析，学生将对国际法与可持续发展的关联有更深入的了解。整个课程的教学将基于案例研究和实例，以帮助学生更好地理解国际环境法在现实生活中的应用。

生物化学

生物循环和化学反应：生物化学入门

BIOLOGICAL CYCLES AND CHEMICAL REACTIONS: AN INTRO TO BIOCHEMISTRY

主题内容：需氧生物体是如何进行代谢的？对生物体至关重要的循环都有哪些？在这个课程中，你将有机会学习到生物与化学的交叉领域，如：三羧酸循环（Tricarboxylic acid cycle）、动植物体内激素的生物合成，以及光合作用等简单反应。课程还将探讨传染病的诊断和预后，包括药物和疫苗开发策略、人类病原体中抗菌素耐药性的新风险以及目前通过药物开发采取的应对措施，同时课程还将分享一些实际研究案例。

计算机科学

编程入门：Python 和机器学习

INTRO TO CODING: PYTHON AND MACHINE LEARNING

主题内容：你对正在改变我们周围世界的机器和算法感到好奇吗？本课程将向你介绍迷人的人工智能世界。在课程中，你将学习如何用 Python 编写代码，并使用各种方法进行数据分析。实践部分包含：编码的实际操作，如 Pandas 和 NumPy 库的使用，并介绍基本的机器学习模型。理论方面，课程将介绍 ML 模型背后的数据科学和数学基础原理，并研究机器学习监督学习模型：线性回归和 k 近邻，以及非监督学习模型：k 均值，你还将讨论回归和分类问题之间的区别，以及方差和偏差的权衡等。

心理学

心理学与健康：认识心理健康

PSYCHOLOGY AND HEALTH: UNDERSTANDING MENTAL WELLBEING

主题内容：当你感冒了，你会怎么办？相信你一定会通过在家休息、健康饮食并服用一些药物的方式来照顾自己。那么，当你得了 " 精神感冒 " 时该怎么办呢？根据世界卫生组织的说法，健康不仅是没有疾病和虚弱，而且是一种身体上、精神上的和社会适应上的完好状态。那么心理健康是什么状态呢？本课程将围绕心理健康、健康和疾病的概念以及它们如何被我们周围的世界所影响进行讨论。课程利用心理学的观点，并涉及哲学和神经科学领域的知识，探讨身体和心理健康之间的相似之处，以及" 心灵化 " 的概念。

物理

物理与成像：医学领域应用

PHYSICS AND IMAGING: APPLICATIONS IN MEDICINE

主题内容：自 17 世纪初以来，物理学原理就被用于医学，以帮助预防、诊断和治疗疾病。这些应用包括放射治疗、成像和辐射防护等。在本课程中，你将学习电离和非电离成像的理论，如超声、心电图、计算机断层扫描 (CT)、正电子发射断层扫描（PET）等！除了理论之外，课程还会有 Python 编码项目，涵盖心电图的一些信号分析以及一些基本的迭代图像重建。在课程结束时，你将大致理解关于医学物理学这门跨学科领域的知识，这是一门涉及数学、物理学、电子学的学科。

统计学

统计与概率：随机性原理的应用

STATISTICS AND PROBABILITY: APPLYING RANDOMNESS THEORY

主题内容：在本课程中，导师将讲授随机性原理，为学生介绍随机变量、概率、方差和独立性等重要定义。 除此之外，学生还将学习最常见的分布，如均匀分布、泊松分布和正态分布，探讨一些 " 悖论 " 和贝叶斯定理。最后，导师还将介绍有关大数定律和最大似然估计的内容，同时为学生提供许多问题供学生解决及练习，这些问题不仅涵盖基础知识，还包括所介绍概念的实 际用途。

历年学术导师简介


Prof. Tom Fletcher

开幕致辞嘉宾：牛津大学赫特福德学院院长

 
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Prof. Tom Fletcher

Prof.  Maarten De Vos

开幕致辞嘉宾：牛津大学赫特福德学院院长

Tom于2020年起担任牛津大学赫特福德学院院长，他还是纽约大学的客座教授。此前，他曾担任三位英国首相的外交政策顾问、英国驻黎巴嫩大使，为联合国秘书长提供未来发展建议。

Dr. Simranjeet Singh

牛津大学工程系导师

 
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Dr. Simranjeet Singh

Dr. Simranjeet Singh

牛津大学工程系导师

Simranjeet Singh在牛津大学获得了航空工程专业博士学位。目前在牛津大学瓦德汉学院工程系担任本科生导师，从事飞机发动机叶片受到高速冲击后的情况，以及发动机故障的风险等研究。此外，Simranjeet还是劳斯莱斯的工程顾问。

Mehrsa Jafarpour

牛津大学本科生导师

 
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Mehrsa Jafarpour

Mehrsa Jafarpour

牛津大学本科生导师

Mehrsa Jafarpour是牛津大学的研究员与本科生导师，目前从事计算生物学领域的相关研究：使用计算机编程和数学建模来改进MRI扫描，以用于癌症研究、新药发现等研究。此外，Mehrsa还是Synchronous Technologies GreenRope 的首席技术官。

Prof. Alexandre Caldas

联合国环境规划署（UNEP）科技和创新部首席外联官

 
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Prof. Alexandre Caldas

Prof. Alexandre Caldas

联合国环境规划署（UNEP）科技和创新部首席外联官

Alexandre 教授在学术界、工业界、政府和国际组织中拥有超过 25 年的科学和技术政策经验，目前担任联合国环境规划署（UNEP) 技术和创新部门主任，同时也是一名经济学家。他曾为欧盟、非洲联盟和世界上十几个国家的政府工作，包括葡萄牙总理提名的电子政务主任。此外，他曾先后在牛津大学、伦敦政治经济学院和英国科学政策研究所任教。

Prof. Daniel Bulte

牛津大学工程科学副教授

 
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Prof. Daniel Bulte

Prof. Daniel Bulte

牛津大学工程科学副教授

工商管理学院行为组织学副教授，牛津大学赛德商学院研究员。此前，她曾在牛津大学格林坦普顿学院和哈佛大学埃德蒙·萨夫拉伦理中心担任研究员，在本科、硕士和高等教育方面有丰富的教学经验。

Graham Reid

牛津大学精神病学系研究员

 
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Graham Reid

Graham Reid

牛津大学精神病学系研究员

Graham 分别在英国格拉斯哥大学和牛津大学获得了心理学和神经科学一等荣誉文学硕士和心理学研究硕士。Graham 在许多不同的心理学主题都有研究并发表了论文，如：宗教心理学、社会心理学和元科学等领域。目前 Graham 在牛津大学人脑活动中心研究成年人的认知能力以模拟晚年痴呆症发病的风险。

Dr. Edward Miller

心理医生

 
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Dr. Edward Miller

Dr. Edward Miller

心理医生

Edward 博士毕业于澳大利亚大学阿德莱德大学，在牛津大学硕士期间，主修精神病学，并开展了正念对学校心理健康课程影响的研究。因其在心理医学方面的卓越表现获得了香港 Fry 纪念奖。Edward 目前在参与英国国家医疗服务体系 NHS 儿童精神病医生的培训，主要研究方向包括正念、心理健康和以学校为基础的心理健康活动。

Prof. Helen Sword

奥克兰大学人文学科教授

 
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Prof. Helen Sword

Prof. Helen Sword

奥克兰大学人文学科教授

Sword博士在普林斯顿大学获得比较文学博士学位。目前是奥克兰大学人文学科教授。此外，Sword博士还经营着一家写作咨询公司WriteSpace Limited。Sword曾荣获多项研究和教学奖项，包括奥克兰大学2007年教学创新教学卓越奖、2013年HERDSA-TERNZ奖章等。

Dr. Wenchuan Wu

牛津大学临床神经科研究生导师

 
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Dr. Wenchuan Wu

Dr. Wenchuan Wu

牛津大学临床神经科研究生导师

Wenchuan 在清华大学获得生物医学工程硕士学位，又在牛津大学获得了核磁共振成像（MRI）物理学博士学位。他的主要研究方向为：获取、重建和分析 MRI 图像的新方法。关于机器学习技术的研究获得了国际医学磁共振学会最高奖。目前担任牛津大学纳菲尔德临床神经科学系研究生导师一职。

Gemma Jane Owen

牛津大学研究员

 
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Gemma Jane Owen

Gemma Jane Owen

牛津大学研究员

Gemma是牛津大学的研究员和导师，她的研究重点是胆管癌的发展并获得了为期3年的AMMF提供的研究经费奖学金（AMMF 是英国唯一的胆管慈善机构）。Gemma在南安普敦大学获得了生物医学科学学士学位和高级生物科学硕士学位。Gemma的研究成果被邀请在众多国内外的知名学术会议上进行展示。

Eloise Cross

牛津大学拉德克利夫医学系研究员

 
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Eloise Cross

Eloise Cross

牛津大学拉德克利夫医学系研究员

Eloise在剑桥大学获得了临床生物化学硕士学位。目前在牛津大学拉德克利夫医学系担任本科生导师及研究员。 Eloise目前的研究重点是用不同的脂肪成分处理肝细胞后对其进行表征分析。

Joana Perrone

牛津大学经济学教员

 
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Joana Perrone

Joana Perrone

牛津大学经济学教员

Joana 在萨塞克斯大学获得国际关系一等荣誉学士学位，在牛津大学获得女性研究硕士学位，目前在牛津大学瓦德汉学院攻读 PPE 博士，主要研究方向为巴西性别暴力。此外，她同时任教牛津大学瓦德汉学院的萨拉 - 劳伦斯和斯坦福课程，拥有 10 年以上模拟联合国大会经验，并多次担任牛津大学模拟联合国大会主席和组织者。

学术结构

Stream Sessions 学术领域研讨 （70%）

每个学术领域由一位拥有牛津大学执教经验的学术导师（Stream Leader) 领导，负责设计与讲授学术内容。学术导师将同时邀请牛津相关领域专家作为客座讲师。知识讲授主要以 Lecture 的方式进行，Lecture 之后进行多轮小组研讨，确保对知识的消化。与会代表将在项目开始当天收到学术材料，同时每天完成学术导师布置的任务。

Project Tutoring 项目导师课（15%）

Tutorial导师课起源于14世纪的牛津大学，被学者称为“牛津皇冠上的宝石”。在牛津大学独特的导师课中，师生就某个话题进行讨论，通过富有挑战的“提问”、“回答”、“批判”的形式，考核学生对问题研究的深度，激发学生的内在思考。峰会希望让与会代表充分体验牛津导师课Tutorial 的特点。每个主题领域的学生将会分为若干个学术小组，每个学术小组由3至5名学生组成，根据该学术领域导师（Stream Leader) 的授课内容确定一个研究课题，该课题将会是终演的演讲内容。每个主题的学术导师将带领若干名项目助教 Project Tutor（相关专业大学生）为每个学术小组以牛津导师课的方式进行学术研讨。各学术小组每天都会与项目助教进行一对一的沟通，确保课题研究进程。

Joint Sessions 专题学术工作坊（10%）

注重培养四个方面核心学术能力，帮助学生提前培养和提升自我，并将其充分利用到大学申请，并将在项目终演中充分运用。

  • 牛津申请：揭秘牛剑录取关键要素，如何准备才能有效提升录取概率？
  • 学术写作：paper满天飞时，如何高效完成一篇符合本科学术标准的优质报告或论文？
  • 学术汇报：面对高频的学术汇报，如何将学术内容与汇报技巧有机结合，成为slay全场的presentation大神？
  • 大学学习技巧：在自由的大学学习环境中，掌握良好的学习技巧对于在大学学习中取得成功是至关重要的，此环节将全面提升学生正确读书、科学记录笔记、独立进行研究性学习等能力。

* 部分课题可能有变动，最终课题将由 Oxford Global 根据需求与 Stream Leader 学术导师共同决定

Final Presentation 项目终演 （5%）

峰会以完成一个本科学术级别的项目为最终导向，以解决实际问题为中心的学习模式。导师将在峰会第一天布置研究课题方向，每个学术小组可以任选其中一个感兴趣的主题作为核心，调动学科知识、分工合作，循序渐进完成可视化成果产出。通过令人深省的课程、互动性极强的导师制，辅以培养本科生学术能力的工作坊，每位同学都将身着正装在峰会结业式上完成全英文学术项目展示（可能是一份学术研究报告/面向未来的设计提案等）。终演结束后，学术领域导师 Stream Leader 将评选出优秀项目进行颁奖。优秀项目将获邀发布在峰会学术会刊。

峰会日程表

社交活动

虚拟圆桌：浅谈加密币的奇葩命名法与华丽白皮书

比特币、莱特币、烧烤币、便士币、甚至还有狗狗币、柴犬币！今天咱们不聊区块链，不谈以太坊，摆张小圆桌，歪脖儿看世界！一起调研各路虚拟货币那为了赚足眼球而布设的满满巧思！

经济学

分析化学

向门捷列夫交作业：元素周期表另类设计大赏

如今我们看到的化学元素周期表，经历了一段漫长的发展过程。那么曾经或者后人是否还有更有趣、更直观的设计呢？如果门捷列夫给你布置了这份化学作业，你会如何完成？

烧脑的小纸条：探秘莫比乌斯环在科幻电影中的应用

1858年，德国数学家莫比乌斯和约翰·李斯丁发现了一个神奇的纸条改造法：一根纸条扭转180°后，再将两端粘连，就形成了一个能够陷入无限循环神奇结构，也就是传说中的莫比乌斯环。如今，莫比乌斯环模型也会用于一些科幻电影的情节构建。话不多说，一起赏析电影，并尝试用莫比乌斯环来解析电影脉络吧！

数学

生物医学

身体里的蝴蝶：“A BUTTERFLY IN MY BODY”

1927年，德国插画艺术家兼科普作家Fritz Kahn (1888-1968) 设计了一张非常有意思的海报“Der Mensch als Industriepalast”, 其将人体比作了一个复杂而精密的工厂，并尝试用浅显易懂的语言和画面，向人们展示“人体的奥秘”。热门解谜游戏“HOMO MACHINA”的灵感便来源于这张海报。作为“Biomedicine”专业的学生，你会如何利用所学知识为这款游戏设计关卡？

逼疯理科生：如何生动形象的向朋友介绍GAN？

如果你对机器学习领域饶有兴趣，那么一定听说过GAN（生成对抗网络），作为一种深度学习模型，GAN的应用常常让人惊掉下巴。那么问题来了，如何生动形象的向你的外行朋友解释GAN的逻辑？

计算机

心理学

社恐事务所：探秘当代社恐背后的心理学真相

一起经营这家神奇的事务所吧！请调研当代社恐的日常，从心理学的角度分析社恐出现的原因，并为社恐er制作一份《社恐相处指南》，研发周边产品，如社恐天赋挖掘机、社恐独处屋、社恐隐形斗篷...

数学

Expectation of Covid-19 cases in the year 25 - 27
Covid-19, a highly infectious respiratory disease, has been brought to attention worldwide over the last several years. By January 2023, there has been 670 million cases across the globe, with 6.82 million deaths throughout [1]. In this paper, the authors will devise a mathematical model with the purpose of predicting Covid-19 cases in the year 2025-27. The main objective of this paper is to create a model suitable for data from 2020 up until now factoring all possible affectants. 
Expectation of world’s population by year 2050
Population is related to a country's prosperity and people's well-being, and together with capital and technology, it determines the potential growth rate of the economy. The population factor changes slowly in most periods, but in the transition period, the change speeds up and the trend sinks strongly. The global population is facing a major change in the upcoming years and the population boom is coming to an end.
Expectation of Covid-19 cases in the year 2023-25
In this essay, we present a mathematical model aimed at predicting the number of Covid-19 cases in the year 2023-25. The main goal is to create a line graph showing the number of cumulative cases, projected from the data we have from 2020 up to now. All citations are placed beside the paragraph where relevant information is used.
Expectation of world’s population by year 2050
With the development of science and technology and the improvement of medical and living standards, the increase of population has also led to the intensification of population aging, which means that in the future, perhaps in 2050, the labor force will decline significantly, the social burden will increase, and the potential economic growth rate will gradually decline.

Computer Science

How AI and ML can be applied in national internet security and its sub-unities, with viable precautions
In many parts of the world, governments emphasize national cybersecurity (internet security). Related internet security systems have been widely studied in many branches of artificial intelligence (AI), from computer vision to robotics. Among all those categories, machine learning (ML) could be regarded as the most multiuse and non-specific method. Summarized to Anthony (2022), over $28 billion was funded in machine learning applications, and over $14 billion was invested in the machine learning platform, which occupies the most in the field of AI.
Earthquake Prediction System based on machine learning technology
In recent years, the improvement of computer performance makes machine learning more and more widely used in geophysical research. The application of pan, especially in geophysical exploration, is progressing very rapidly. However, machine learning in the field of earthquake prediction is still in the early exploratory stage. This paper mainly discusses and designs an earthquake prediction system with Machine Learning. The system includes long - term and short - term forecasting. At the same time, machine learning can improve the accuracy of prediction.

Biomedicine

A Brief Overview of Alzheimer's Disease (AD)
Alzheimer's, the most common cost of dementia, is a neurodegenerative disease that causes issues in the brain with memory, cognition, and behavior. [10] According to Alzheimer's Disease International, it was the "top cause of disabilities in later life" in 2019. [3] In China, 3.9% of people suffer from the disease in 2020, and this figure has continued to increase for decades.[4] The prevalence and importance of AD are super obvious, and provided that it is still being understood, experts are urgently calling for more research in this field. In this essay, we will expound on the major findings so far regarding the symptoms, anatomical location, causes, diagnostic methods, and treatments.
A brief overview of Alzheimer's disease
Alzheimer's disease (AD) is a neurogenerative disease caused by both genetic and spontaneous factors. As the pathological changes progress, symptoms ranging from mild cognitive impairment to severe dementia could occur. Currently, there is no cure for AD, but several treatments have been developed to mitigate the symptoms and slow down the disease progression. Meanwhile, various testing methods have been developed to detect this disease. This essay aims to provide an overview of AD in terms of the anatomical location of pathological changes in the brain, the potential symptoms, detection methods, and available treatments. We will also present our evaluation of the detection and treatment methods.
Review of Parkinson’s disease: Causes, diagnoses, and treatments
Parkinson's disease (PD) is the second most common neurodegenerative disorder which is mainly associated with symptoms like tremor, rigidity, slowing movement and other complications including mental disabilities and cognitive problems.[1] The symptoms progress slowly. Initially, patients suffer from tremor on one side of the arms. As the disorder progresses, patients may find difficulties when talking or moving. However, no cure is currently available for Parkinson's disease. Treatments and medications are aimed to control the symptoms or slow down the progression.

Analytical Chemistry

Discussion about the techniques involved in the analysis of the drug targeting lung cancer
Lung cancer is the second most common cancerous disease among the world population, which is caused by unregulated cell division in the lungs. (wcrf.org, 2022) In 2022, around 236740 new cases of lung cancer were diagnosed in the United States. To be more specific, damaged cells divide uncontrollably and lead to the formation of tumors. Lung cancer usually start from the bronchi and bronchioles or alveoli. (Larsen & Minna, 2011)
The Report of The Advanced Analytical Technologies For The New Drug
Lung cancer is a malignant tumor originating from the bronchial mucosa or glands of the lung. Smoking is one of the most common causes of lung cancer, and 80% - 90% of smokers will suffer from such malignant tumors [1]. It remains a major worldwide health problem, accounting for more than a sixth of cancer deaths [2]. The high morbidity and mortality rates make it one of the most dangerous tumors diagnosed. Therefore, the treatment for lung cancer is highly researched.
An Investigation Into The Techniques In Drug Analysis
When developing a new drug, it is critical to possess a comprehensive understanding of the drug itself, including its composition, properties, and effects, to determine if it can be suitable for human use. This essay will go on to explore the most appropriate techniques to use when understanding a drug designed to target lung cancer, and their corresponding benefits.

Psychology

Why some social media users might become aggressive, sending nasty tweets, sharing harassing posts, or targeting people with hate
Posting pictures, videos, or words which are aggressive, unfriendly, insulting or even inflammatory are generally termed as aggression on social media. We will be discussing lack of accountability, group polarization and incentive mechanism in relation to this, while elaborate on social media is not full of aggressions.
Which model best generalize how people start using social media, applying evidence from age groups?
Social media, a newly developed technology that allows users to create and share comments, pictures, or videos, or to participate in the social network, has become a significant part of people's lives (Dollarhide, 2021). According to statistics from Digital 2022: China: as of 2022, out of 1.02 billion mobile phone users in mainland China, 983 million were social media users, occupying 68% of the total population (Kemp, 2022).
Is it possible to become addicted to social media and why?
Addiction refers to a chronic brain disorder with biological, psychological, social and environmental factors influencing its development and maintenance (American psychological association). The criteria for addiction are various. However, withdrawal and tolerance suggested clinical addiction overall. Withdrawal is the syndrome caused by the cessation of a substance. The common syndrome includes nausea, insomnia and anxiety. Tolerance refers to the significant reducing effect of the substance after continuous substance use. Patients need to increase the dose to achieve the same desired effect (American psychological association). Social media is a virtual community where people can post their daily lives, thoughts, and comments (Dollarhide, 2021).

Economics

Is fiat money dead? An economic report investigating the rise and rise of digital money in 2022
Globalization and digitalization has become the main theme of the current global development, people demand for improvements to make things more rapid, more convenient, more user friendly, and more equal. As fiat money was designed thousands of years ago, it's hard for this system to satisfied the current need of development. Technological developments are pushing the financial system to evolve itself and new types of currencies seem to have the possibilities of replacing the money system that haven't change for thousands of years.

优秀作品集

数学

Expectation of Covid-19 cases in the year 25 - 27
Covid-19, a highly infectious respiratory disease, has been brought to attention worldwide over the last several years. By January 2023, there has been 670 million cases across the globe, with 6.82 million deaths throughout [1]. In this paper, the authors will devise a mathematical model with the purpose of predicting Covid-19 cases in the year 2025-27. The main objective of this paper is to create a model suitable for data from 2020 up until now factoring all possible affectants. 
Expectation of Covid-19 cases in the year 2023-25
In this essay, we present a mathematical model aimed at predicting the number of Covid-19 cases in the year 2023-25. The main goal is to create a line graph showing the number of cumulative cases, projected from the data we have from 2020 up to now. All citations are placed beside the paragraph where relevant information is used.
Expectation of world’s population by year 2050
With the development of science and technology and the improvement of medical and living standards, the increase of population has also led to the intensification of population aging, which means that in the future, perhaps in 2050, the labor force will decline significantly, the social burden will increase, and the potential economic growth rate will gradually decline.
Expectation of world’s population by year 2050
Population is related to a country's prosperity and people's well-being, and together with capital and technology, it determines the potential growth rate of the economy. The population factor changes slowly in most periods, but in the transition period, the change speeds up and the trend sinks strongly. The global population is facing a major change in the upcoming years and the population boom is coming to an end.

计算机科学

How AI and ML can be applied in national internet security and its sub-unities, with viable precautions
In many parts of the world, governments emphasize national cybersecurity (internet security). Related internet security systems have been widely studied in many branches of artificial intelligence (AI), from computer vision to robotics. Among all those categories, machine learning (ML) could be regarded as the most multiuse and non-specific method. Summarized to Anthony (2022), over $28 billion was funded in machine learning applications, and over $14 billion was invested in the machine learning platform, which occupies the most in the field of AI.
Earthquake Prediction System based on machine learning technology
In recent years, the improvement of computer performance makes machine learning more and more widely used in geophysical research. The application of pan, especially in geophysical exploration, is progressing very rapidly. However, machine learning in the field of earthquake prediction is still in the early exploratory stage. This paper mainly discusses and designs an earthquake prediction system with Machine Learning. The system includes long - term and short - term forecasting. At the same time, machine learning can improve the accuracy of prediction.

生物医学

A Brief Overview of Alzheimer's Disease (AD)
Alzheimer's, the most common cost of dementia, is a neurodegenerative disease that causes issues in the brain with memory, cognition, and behavior. [10] According to Alzheimer's Disease International, it was the "top cause of disabilities in later life" in 2019. [3] In China, 3.9% of people suffer from the disease in 2020, and this figure has continued to increase for decades.[4] The prevalence and importance of AD are super obvious, and provided that it is still being understood, experts are urgently calling for more research in this field. In this essay, we will expound on the major findings so far regarding the symptoms, anatomical location, causes, diagnostic methods, and treatments.
A brief overview of Alzheimer's disease
Alzheimer's disease (AD) is a neurogenerative disease caused by both genetic and spontaneous factors. As the pathological changes progress, symptoms ranging from mild cognitive impairment to severe dementia could occur. Currently, there is no cure for AD, but several treatments have been developed to mitigate the symptoms and slow down the disease progression. Meanwhile, various testing methods have been developed to detect this disease. This essay aims to provide an overview of AD in terms of the anatomical location of pathological changes in the brain, the potential symptoms, detection methods, and available treatments. We will also present our evaluation of the detection and treatment methods.
Review of Parkinson’s disease: Causes, diagnoses, and treatments
Parkinson's disease (PD) is the second most common neurodegenerative disorder which is mainly associated with symptoms like tremor, rigidity, slowing movement and other complications including mental disabilities and cognitive problems.[1] The symptoms progress slowly. Initially, patients suffer from tremor on one side of the arms. As the disorder progresses, patients may find difficulties when talking or moving. However, no cure is currently available for Parkinson's disease. Treatments and medications are aimed to control the symptoms or slow down the progression.

分析化学

Discussion about the techniques involved in the analysis of the drug targeting lung cancer
Lung cancer is the second most common cancerous disease among the world population, which is caused by unregulated cell division in the lungs. (wcrf.org, 2022) In 2022, around 236740 new cases of lung cancer were diagnosed in the United States. To be more specific, damaged cells divide uncontrollably and lead to the formation of tumors. Lung cancer usually start from the bronchi and bronchioles or alveoli. (Larsen & Minna, 2011)
The Report of The Advanced Analytical Technologies For The New Drug
Lung cancer is a malignant tumor originating from the bronchial mucosa or glands of the lung. Smoking is one of the most common causes of lung cancer, and 80% - 90% of smokers will suffer from such malignant tumors [1]. It remains a major worldwide health problem, accounting for more than a sixth of cancer deaths [2]. The high morbidity and mortality rates make it one of the most dangerous tumors diagnosed. Therefore, the treatment for lung cancer is highly researched.
An Investigation Into The Techniques In Drug Analysis
When developing a new drug, it is critical to possess a comprehensive understanding of the drug itself, including its composition, properties, and effects, to determine if it can be suitable for human use. This essay will go on to explore the most appropriate techniques to use when understanding a drug designed to target lung cancer, and their corresponding benefits.

心理学

Why some social media users might become aggressive, sending nasty tweets, sharing harassing posts, or targeting people with hate
Posting pictures, videos, or words which are aggressive, unfriendly, insulting or even inflammatory are generally termed as aggression on social media. We will be discussing lack of accountability, group polarization and incentive mechanism in relation to this, while elaborate on social media is not full of aggressions.
Which model best generalize how people start using social media, applying evidence from age groups?
Social media, a newly developed technology that allows users to create and share comments, pictures, or videos, or to participate in the social network, has become a significant part of people's lives (Dollarhide, 2021). According to statistics from Digital 2022: China: as of 2022, out of 1.02 billion mobile phone users in mainland China, 983 million were social media users, occupying 68% of the total population (Kemp, 2022).
Is it possible to become addicted to social media and why?
Addiction refers to a chronic brain disorder with biological, psychological, social and environmental factors influencing its development and maintenance (American psychological association). The criteria for addiction are various. However, withdrawal and tolerance suggested clinical addiction overall. Withdrawal is the syndrome caused by the cessation of a substance. The common syndrome includes nausea, insomnia and anxiety. Tolerance refers to the significant reducing effect of the substance after continuous substance use. Patients need to increase the dose to achieve the same desired effect (American psychological association). Social media is a virtual community where people can post their daily lives, thoughts, and comments (Dollarhide, 2021).

经济学

Is fiat money dead? An economic report investigating the rise and rise of digital money in 2022
Globalization and digitalization has become the main theme of the current global development, people demand for improvements to make things more rapid, more convenient, more user friendly, and more equal. As fiat money was designed thousands of years ago, it's hard for this system to satisfied the current need of development. Technological developments are pushing the financial system to evolve itself and new types of currencies seem to have the possibilities of replacing the money system that haven't change for thousands of years.

学生感言

整个项目中，我最喜欢导师的 Lecture 内容，让我对 DSSC的结构和 silicon 的结构和它们如何运作有了全新的认识，坚定了以后大学选择工程相关专业。这也是我第一次撰写小组论文、做项目汇报，对我是一个全新的体验，课外老师还提供了很多大学申请的帮助，更坚定了自己前往dream school 的决心！

戚同学

宁波鄞州赫德实验学校
整个项目中最喜欢 lecture 关于 disease 课程内容，我之前没有接触过相关领域的知识，这使我对生物医学有了全新的认识，对我未来选择生物医学专业有很大的帮助。我在项目中收获了团队合作与沟通能力，我认为这些能力对于未来的大学学习生活及工作都至关重要。因为项目中的小组任务需要每个人都承担一定的工作，并且这些任务之间关联性很强，需要与队员不断沟通进展，所以在不知不觉间我的这些能力也得到了提升。

林同学

深圳国际交流书院
项目对于我选择专业有很大帮助。课程中的心理学知识点是我以前没有接触过的，经过老师的详细讲解后，我发现我对这方面知识很感兴趣，于是课后查阅了很多相关材料，并最终确定将来选择心理专业。

许同学

成都锦江嘉祥外国语学校高级中学
项目心理学、哲学、语言学三者的相关性。未来我也想申请牛津大学的心语哲专业！我在项目中学到了团队成员间的合作能力和交流方式，也收获了不少志同道合的好朋友。我之前从来没有学习过心理学的专业课程，我们小组的三个同学都非常热心地为我解答我自己的一些问题（真的很感动!）。参加项目之后，我才发现心理学那么有意思！这也坚定了我要申请心语哲专业的决心。

李同学

北京王府学校

参与流程

项目时间

2024年7月15日-7月23日

项目地点

中国上海

项目名额

每个学术主题仅录取 30 个学员

可选学科领域

生物医学 | 经济学 | 工程 | 数学 | 化学 | 法律 | 生物化学 | 计算机科学 | 心理学 | 物理 | 统计学

选拔对象

高中生

选拔标准

  • 方式一：符合以下其中任意一项条件可直接录取:
    - 在 ASDAN EPQ 研究性学习认证获得成绩 B 及以上；
    - 在阿思丹各项理科、经济学、金融和商科测评和挑战中获得全球或全国奖项；
    - 雅思 6 分或托福 80 分水平，学校成绩单相关科目达到 A 及以上水平；
  • 方式二：如果没有达到以上标准，需要接受阿思丹老师的英文面试，通过后方可获得录取资格。

— 常见问题 —

主办方是牛津大学吗？
主办方是Oxford Global，受牛津大学官方支持。牛津峰会是2018年开始的项目，往年在牛津校园内举行。2021开始是线上形式进行。2022年夏天设置了中国站，之前做过迪拜站。Oxford Global由牛津大学校友组成，每年会举行不同的学术主题活动，其中面向高中生的两个最大的学术活动是：Oxford MUN（牛津联合国模拟会议）和牛津学术峰会。
峰会需要合作完成project吗？分组怎么安排？
峰会期间学生会以小组形式合作完成essay及presentation，分组是由Oxford Global直接安排好。
Tutorial的特色是什么？
牛剑导师制教学，学生可以与项目导师有充分的讨论机会，对于完成project有很大的帮助，也可以判断学生是否能适应未来牛剑的学习生活。
产出的论文会发表吗？是个人产出还是团队产出？
essay是以小组为单位产出的，获得最佳essay奖项的论文可以刊登在牛津学术峰会（中国站）的会刊上。
项目证书是谁颁发的？
项目的证书是由Oxford Global颁发的。

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