2023暑假牛津学术峰会（中国站）
时间：2023 年 7 月 17 日 -7 月 24 日（8 天）| 主办方：Oxford Global
牛津导师带领高强度学术研讨，学术讲座(lecture)结合小班导师课(tutorial)
牛津学术峰会（中国站）首次线下活动将在中国上海举办
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
12大学科可选：数学、统计学、物理、工程、化学、生物免疫学、生物医学、生物化学、计算机科学、法律、心理学、经济学
小班研讨：学术讲座最多 30 人，小班导师讨论课 3-5 人
优秀成果将有机会发表于 Oxford Global 峰会学术会刊
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
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。首届线下牛津学术峰会将在上海举办。
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) 结合小班导师制 (tutorial)强大导师团队
每个学科领域由牛津大学教授、研究人员和活跃在商业、科技一线领域的牛津优秀校友带领10+专业热门主题深度研讨
工程｜数学 | 物理｜统计学｜计算机科学｜生物｜生物医学 | 化学 | 心理学｜生物化学 | 经济学 | 法律小班学习
主题学术讲座最多 30 名学员，小班导师课最多 5 名学员
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 10% 代表颁发特别学术奖项已公布学科主题 （任选其一）
生物免疫学
计算免疫学入门
Introduction to computational immunology
计算免疫学领域的主要目的是将免疫学数据转换为计算问题，使用数学和计算方法解决这些问题，然后将这些结果转换为具有免疫学意义的解释。在本课程中，你将探讨免疫学中的关键概念，例如人体的免疫系统是如何进化的，保护我们免受感染的同时最大限度地减少患自身免疫性疾病的可能性。此外，我们将学习如何使用R编程语言来研究并分析免疫反应中不同类型的细胞。
经济学
微观经济学和博弈论导论
Introduction to Microeconomics and Game Theory
微观经济学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，学生将学习如何应用数学工具解决约束优化问题，这些问题是经济学和其他学科的核心，同时也将学习基础微观经济学概念、博弈论模型及其在现实生活问题中的应用。
工程
材料科学导论：半导体材料在光伏器件中的应用
Introduction to Materials Science: Application of Semiconductor Materials in Photovoltaic Devices
太阳能电池是将太阳光转化为电能的电子设备。太阳能电池中使用的材料通常由硅制成，而硅是一种常见于沙子中的元素。最常见类型的太阳能电池由单层硅制成，被称为单晶电池。这种类型的电池由单一的纯硅晶体制成，可以非常有效地将太阳光转化为电能，但是我们的身边还有其他更先进的电池类型。在本课程中，学生将通过研究半导体材料的特性、高级表征和不同材料自身的限制来了解材料科学的原理。通过本课程的学习，学生将对光伏技术和光伏材料的发展有更深入的了解。
化学
化学与可持续发展
The evergrowing applications of chemistry in the world of sustainability
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。
生物医学
神经科学入门
An introduction to neuroscience
神经科学是研究大脑和神经系统的科学领域。在本课程中，学生将会深入了解基本的神经科学概念，如大脑解剖学、神经递质等。在此基础上，同学们也有机会去探索困扰世界上大部分人群的神经精神疾病。这些疾病不但影响大脑功能，还可能造成生活质量下降。伴随着新的研究发现和良好的就业前景，神经科学已成为日益重要的科学领域。对于希望深入学习神经科学或者想要更了解自己的思想和大脑的学生来说，神经科学方向是一个不错的选择。
法律
国际公法和国际环境法概论
Introduction to Public International Law and International Environmental law
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，学生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，学生将学习可用于解决这些挑战的法律机制。本课程符合联合国可持续发展目标 (SDG)，例如 SDG 13：气候行动和 SDG 14：海洋环境。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
生物化学在疾病治疗中的应用：实验和计算方法简介
Solving Diseases with Biochemistry: An Introduction to Experimental and Computational Approaches
本课程重点关注生物化学及其相关领域，主要探究分子细胞生物学、群体遗传学如何应用于解决癌症、心血管疾病等现实生活中的疾病。在现代医疗中，治疗疾病需要对其分子和细胞水平有深入的理解，因此实验和计算工具的复杂度也越来越高。本课程旨在向学生介绍这些实验和计算工具的生化基础，以及如何应用它们来解决疾病问题。本课程还将介绍实验方法和计算方法，例如生物信息学，用于开发尖端工具，以研究不同疾病的基础并开发新的诊断和治疗方法，包括CRISPR基因编辑、合成生物学等。
数学
利用数学建模解决现实问题
Math modeling for real life problems
预算管理、火山爆发、鲸鱼与船只的碰撞， 这些看似毫无关联的事情究竟有什么共同之处 ? 不要怀疑！数学的在各领域中的应用价值越来越受到关注，我们可以通过数学模型来理解和解决这个难题。在该学术主题中，学生将学习如何构建和应用数学模型解决现实问题，增强对数学建模的理解，深入探索这项对人类帮助极大的问题解决工具。
物理
人体中的物理电学: 电信号如何促使我们思考、感知和移动
The physics of electricity in the human body: How electrical signals let us think, feel, and move
电在人体中扮演着重要的角色。电信号使我们有能力移动、思考、说话和作出反应。在这门课程中，学生们将探索生物学和物理学的密切联系。除了理论知识外，还将涉及一些简单电路相关实践活动。在课程结束时，学生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，它创造出了很多实用的临床工具，也解释了哪些实验启发了弗兰肯斯坦，还说明了为什么他不可能在小说之外存在!
心理学
心理学与健康：认识心理健康
Psychology and health: understanding "mental wellbeing"
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。
计算机科学
机器学习： 计算机科学和人工智能简介
Machines that Learn: An Introduction to Computer Science and Artificial Intelligence
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。你将了解机器学习和深度学习等关键概念，并探索人工智能在理解和分析图像和文本方面的实际应用案例。此外，你还将了解人工智能的最新发展，以及它是如何改变我们与机器互动的方式，并讨论这些技术带来的道德和实际问题。
统计学
统计学的价值：量化研究与数据科学
Making the Most of Statistics: Data Science for Quantitative Research
统计学是理解我们周围世界的一个非常有价值的工具，它最开始起源于对于疾病发病率的研究，到今天统计学常用于公共部门的决策。用统计数据来支持一项主张，往往被视为显示其准确性和可靠性的 "黄金标准"。然而，统计数据的可靠程度只取决于产生它的方法，如果使用了错误的分析类型，统计数据有可能呈现出不准确的反映。在本课程中，你将学习统计分析的原则，从正确选择样本和识别分布到关键方法，如回归分析。你将学习如何将这些方法准确并恰当地应用于各种问题，为大学进行定量研究打下良好基础。
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%）
峰会提供12个学术领域课题供与会代表选择，每个学术领域将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。学术导师有可能同时邀请牛津大学相关领域专家作为客座讲师分享部分内容。Stream Sessions 还原牛津经典的教学模式。知识讲授部分主要以小班课堂Lecture的方式进行，在Lecture项目之后会增加多轮小组研讨Discussion的部分确保同学们对知识的消化。峰会的学术内容深度与难度基本达到牛津本科级别，学术导师每天会给同学们布置学术任务进行预/复习，确保学术研讨进度。
Project Tutoring 项目导师课（10%）
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（15%）
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
计算机科学
生物医学
分析化学
心理学
经济学
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.
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.
参与流程
项目时间
2023 年 7 月 17 日 -7 月 24 日（8天）
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
工程｜数学 | 物理｜统计学 | 计算机科学｜生物免疫学｜生物医学 | 化学 | 心理学｜生物化学 | 经济学 | 法律
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：阿思丹定向邀请合作学校校方推荐
- 方式三：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。
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— 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。
