2024 Oxford Global Summit for Young Leaders (Shanghai)

OGSYL Week: July 15th - July 23rd, 2024 (9 days)

Organizer: Oxford Global

Engage with mentors and speakers from the University of Oxford and industry experts in a series of lectures, tutoring, and workshops.

Official support by Oxford Global with an official Certificate of Completion and award for the best-performing students.

Guided by a team of leaders with a variety of backgrounds, and professors at University of Oxford.

University-level projects and outcomes, excellent projects will have the opportunity to be published in the summit academic journal.

Academic workshops on academic writing, academic presentation, Oxford applications and study skills at university.

Diverse social activities to develop students' social skills.

Topics:

Biomedicine | Economics | Biochemistry | Computer Science Engineering | Mathematics | Physics | Statistics | Psychology Chemistry | Law

Oxford Global Summit for Young Leaders is organized by Oxford Global, an institution consisting of a group of students and alumni of the University of Oxford, promoting equal access to high-quality educational conferences and summits. The team hails from all over the globe and consists of scientists, engineers, linguists, lawyers, classicists, philosophers, and economists. Each year 6,700 young people from over 40 countries around the world participate in educational conferences and summits organized by Oxford Global. They are the organizer of Oxford MUN conference as well.

Oxford Global Summit for Young Leaders is a unique international educational event aimed at developing the skills required to become future leaders and innovative thinkers. We believe it's hard for ambitious youth to find important challenges to work on, become passionate about, and dedicate themselves to. As such, we teach the skills, provide mentors and guidance, and create a collaborative environment to help young leaders tackle the pressing challenges of tomorrow. During the 8 days, students will be immersed in a program of keynote speeches, lectures and workshops designed to motivate and stimulate students from across the disciplines to become critical thinkers.

In 2022, ASDAN China reached a partnership with Oxford Global to open a high-quality academic summit for outstanding Chinese students. In the summer of 2023, the time and space barrier was broken by moving the previous online model to offline. In the summer of 2024, we aim to organise the next, even more extensive summit in Shanghai!

Authentic Oxford experience

Experience renowned tutorial teaching combining with academic lectures with Oxford mentor.

Oxford team

Guided by a team of leaders with a variety of backgrounds, including doctors, engineers, entrepreneurs, lawyers, business executives, and professors at University of Oxford.

College Life Experience

A variety of evening activities to experience Oxford College style learning and social life.

Small class

Work in small groups to identify solutions to a major global challenge that society faces today. Participate in interactive seminars that will enable the tackling of these challenges.

Application & Expression

Students apply their acquired skills, along with Content Knowledge and Habits of Success, to projects that prepare them for real-world scenarios. Outstanding works will have the opportunity to be published in the academic journal of the summit.

Certification

Each student who meets all the requirements of the course will receive an official certificate of completion, and each stream should award the best-performing students (top 10% ) in recognition of their efforts.

INTRODUCTION TO MOLECULAR BIOLOGY

Stream leader utilise molecular biology techniques, such as sequencing, and will be covering these techniques during the ASYL. There will be a focus on the methods that can be used to analyse DNA, RNA and proteins, including single-cell technology—a relatively new method that is transforming biomedical research. The lessons will also include fun experiments and an introduction to programming in R, which is a programming language widely used by biomedical researchers to analyse their data.

INTRODUCTION TO MICROECONOMICS

The course is an overview of tools and topics in microeconomics, with applications to international trade. In classes, you will first learn about ‘economics’ as a discipline and ‘microeconomics’ as a subfield, or approach. You will then spend several days learning the basic frameworks and toolkit of microeconomic analysis. Finally, you will undertake an overview of some questions in international trade that can be answered using a microeconomic framework.

BIOLOGICAL CYCLES AND CHEMICAL REACTIONS: AN INTRO TO BIOCHEMISTRY

The lecture series will focus on the intersection of chemistry with biology. This will include unique cycles that are central to biology such as the TCA cycle, Kreb’s cycle, biological synthesis of hormones in animals and plants, and chemical basis of simple reactions like photosynthesis. I would also be touching on diagnosis and prognosis of infectious diseases including strategies for drug & vaccine development. I will also discuss the emerging danger of antimicrobial resistance in human pathogens and current measures being taken against it through drug development while drawing my own research as an example.

INTRO TO CODING: PYTHON AND MACHINE LEARNING

In the course the students will learn how to code in Python and conduct data analysis with a variety of methods. We will focus on practical knowledge of coding, usage of Pandas and NumPy libraries and introduce basic Machine Learning models. On the theoretical side of the course, we will cover the principles of data science and mathematical foundations standing behind the ML models. We will study both supervised ML models: linear regression and k-nearest neighbours, and unsupervised ML model: k-means. We will discuss the difference between regression and classification problems and the variance and bias trade-off.

INTRODUCTION TO ENGINEERING

This course will give you the tools to engage with engineering in a variety of settings. Beginning by understanding some of the conceptual and mathematical underpinnings of engineering, this course will then move on to examine their application in different areas. With sessions dedicated to different subsets of engineering, such as electrical and informational, the course allows students to really understand their differences and carry out a project in their area of choice. Throughout the week, we will examine how different disciplines such as physics, mathematics and computer science come together in engineering to create solutions to real-life problems.

MATHEMATICAL MODELLING IN THE AGE OF CLIMATE CHANGE

In this course, students will learn how to construct and apply mathematical modelling to contemporary world problems, especially in the context of climate change. In this course, I will provide an introduction to the climate models that can be used to, e.g., predict sea level rise or weather events, and the challenges mathematicians face in bridging the gap between science and policy decisions. You will learn essential skills in mathematical modelling, such as linear and nonlinear models, different types of variables and the difficulties in establishing reliable predictions. This will also allow you to gain an understanding of the current challenges in the field of applied mathematics.

PHYSICS AND IMAGING: APPLICATIONS IN MEDICINE

Physics principles have been used in medicine since the early 17th century to help prevent, diagnose and treat disease. These applications include radiotherapy, imaging and radiation protection. In this course, students will learn theory behind ionising and non-ionising imaging such as Ultrasound, Electrocardiograms, Computed Tomography, Positron Emission Tomography and more! Along with theory, there will be coding projects in Python that will cover some signal analysis for electrocardiograms as well as some basic iterative image reconstruction.

STATISTICS AND PROBABILITY: APPLYING RANDOMNESS THEORY

During the course I would like to teach you aspects of statistics and probability theory, or more simply speaking: randomness theory. We will start with definitions of the random variable, probability, variance and independence. Later, we will learn about the most common distributions such as the uniform, Poisson and normal distribution. We will explore some `paradoxes' and the Bayes theorem. At the end I will present material regarding the Law of Large Numbers and the maximal likelihood estimator. I will provide many problems to solve, which will cover both basics and more involved uses of the presented concepts.

PSYCHOLOGY AND HEALTH: UNDERSTANDING MENTAL WELLBEING

What would you do when you get a cold? I believe that you look after yourself by resting at home, eating healthily, and taking some painkillers. How about when you get a ‘mental cold’? According to The World Health Organization (WHO), the word health is “a state of complete physical, mental and social well-being.”But what does "mental wellbeing" mean? This course will discuss topics around the idea of mental health, fitness and illness and how they are impacted by the world around us. Using ideas in psychology, as well as engaging with debates in the fields of philosophy and neuroscience, this course explores the parallels between physical and mental fitness and the ways we conceptualise 'the mind'.

THE EVER GROWING APPLICATIONS OF CHEMISTRY IN THE WORLD OF SUSTAINABILITY

When we first think of chemistry, what sometimes comes to mind is an image of toxic chemicals or hazards. However, did you know that chemistry is one one of the most rapidly emerging fields for promoting sustainable development? The study of chemistry is essential in providing renewable energy sources for the future. Green Chemistry, as the name suggests, is the application of chemistry keeping in mind the principles of environmental protection and human safety. This course will provide you with a detailed understanding of how chemistry is being implemented to create a more sustainable world, using examples from some of the most interesting research work going on in the field to show how scientists are striving to merge the principles of chemistry and sustainability.

ENVIRONMENTAL LAW IN THE 21ST CENTURY

This course provides an overview of the principles and concepts of international law, placing special focus on the critical issues surrounding the environment in the 21st century. Students will examine the legal framework at the international level, as well as specific environmental challenges, such as climate change, biodiversity loss, and the protection of the oceans. By studying environmental law and the legal mechanisms available for addressing environmental challenges, students will be equipped with the knowledge and skills necessary to contribute to the achievement of these goals. Throughout the course, students engage with case studies and practical examples to understand the application of environmental law in real-world contexts.

Simranjeet Singh

Lecturer at Christ Church at the University of Oxford

Prof. Alexandre Caldas

Chief of Country Outreach, Technology and Innovation Branch at the UNEP

Prof. Daniel Bulte

Associate Professor in Engineering Science at the University of Oxford

Graham Reid

PhD in Department of Psychiatry, University of Oxford

Dr. Helen Sword

Professor of Humanities at the University of Auckland

Dr. Wenchuan Wu

Graduate tutor at the NDCN at the University of Oxford

Gemma Jane Owen

Researcher and tutor at the University of Oxford

Joana Perrone

Organizer of Oxford Global

Project Tutoring（15%）

The tutorial system originated from Oxford University in the 14th century. Since its inception, it has been regarded as one of the most effective and valuable teaching systems and has been described as the 'jewel in the crown' of British education. Tutorial teaching allows you the freedom to push yourself academically and direct your own learning. OGSYL offers stream tutorials to students in all academic areas. Students will break into small teams. Each stream leader will lead 2-3 TAs who will challenge and help students with their outcomes, like the Oxford tutorial session. Each academic team will have daily one-on-one communication with the TA to ensure their research process.

Joint Sessions（10%）

Oxford application: Key elements of Oxford admissions, and helping maximize chances of success.
Academic writing: How to efficiently complete a qualified essay that meets undergraduate academic standards?
Academic Presentation: Facing the high frequency of academic presentation, how to combine academic content and presentation skills to give a fabulous academic presentation.
Study skills at university: How to study better, read better, take notes, how to reserach.

*Some topics are subject to change. Final topics will be decided by Oxford Global and Stream Leader

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.

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.

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.

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.

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).

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.