11年级SCI一作，新哲学子实力书写中学生科研“天花板”！

今日，一则重磅喜讯刷屏校园：我校11年级学子Yunkun Song（Michael），以独立第一作者身份，在体育科学领域国际权威期刊《Frontiers in Sports and Active Living》上成功发表科研论文《Quantifying Future Olympic Sport Selection: A Data-Driven Framework for SDE Evaluation and Selection》！

Today, exciting news spreads across campus: Yunkun Song (Michael), a Grade 11 student of our school, has successfully published a research paper as the sole first author in the international authoritative sports science journal Frontiers in Sports and Active Living. The paper is titled Quantifying Future Olympic Sport Selection: A Data-Driven Framework for SDE Evaluation and Selection.

The journal went online on July 29, with Sendelta listed as the first affiliated unit. Notably, fellow Grade 11 student Qiaoyi Zhang participated as the third author—their collaboration achieved remarkable results.

论文发布地址：

https://www.frontiersin.org/journals/sports-and-active-living/articles/10.3389/fspor.2025.1596196/full

Few middle school students in China publish in SCI journals each year, and even fewer as first authors. Frontiers in Sports and Active Living, a leading global sports science journal with strict review processes and high academic standards, makes this achievement a rare feat in domestic middle school research.

奥运会是全球最盛大的体育盛事之一，但你知道吗？哪些项目能登上奥运舞台，其实背后有一套极为复杂的评估机制。

The Olympics are a major global sporting event, but selecting sports for inclusion involves a complex evaluation mechanism.

Michael的论文正是关于这个评估机制。在研创中心科研导师孙博士的指导下，Michael搭建了一个面向未来的“量化打分系统”，用数据模型预测2032年布里斯班奥运会新增项目。

Michael’s paper focuses on this mechanism. Guided by Dr. Sun from Sendelta Research and Innovation Center, he built a "quantitative scoring system" to predict new sports for the 2032 Brisbane Olympics using data models.

他搭建了综合社交媒体热度、电视观众覆盖率、项目成本、性别平衡、青少年吸引力、文化多样性和全球参与度等七大指标，通过层次分析法（AHP）确定各因素的重要性，再结合主成分分析（PCA）和k近邻算法（KNN）进行建模与预测，最终锁定电子竞技、澳式足球、皮克球为最具潜力“黑马”，拔河、国际象棋等传统项目也展现“复出”实力。

He integrated seven indicators: social media popularity, TV viewership, cost, gender balance, youth appeal, cultural diversity, and global participation. Using Analytic Hierarchy Process (AHP) to determine factor importance, combined with Principal Component Analysis (PCA) and k-Nearest Neighbors (KNN) for modeling and prediction, he identified esports, Australian rules football, and pickleball as top potential new sports. Traditional sports like tug of war and chess also showed potential.

一项看似主观的决策，通过科学建模和客观数据，也能变得有理有据。这正是这项研究最具价值的地方。

This research highlights the value of turning subjective decisions into evidence-based ones through scientific modeling and objective data.

因为Michael 之前几乎没有科研经验，孙博士在指导过程中采取了“用到什么就学什么”的方式，带着他一步步走，从选题、查文献到数据处理、建模分析，每一个环节都结合实际、边学边做，重在实战训练和逻辑思维的培养。让人意外又惊喜的是，新哲AP体系为他打下了不错的英语基础，到了写论文这一步，语言表达几乎没有成为障碍，反而成了他的优势，整个科研过程也因此顺利了不少。

With little prior research experience, Michael learned on the job under Dr. Sun’s guidance—from topic selection and literature review to data processing and modeling—focusing on practical training and logical thinking. His strong English foundation from the school’s AP program became an advantage, smoothing the paper-writing process.

在孙博士的引导下，Michael全程主导项目，深夜 10 点仍在推敲模型细节、打磨英文摘要成了常态。他自学Python处理数据，啃下海量英文文献，硬生生在“科研闯关”中练就硬核实力。

Guided by Dr. Sun, Michael led the project, often refining model details or polishing English abstracts late into the night. He taught himself Python for data processing and studied numerous English papers, building solid research skills.

指导老师孙博士坦言：“Michael 有着强烈的好奇心和执行力，以及远超同龄人的专注！” 而这恰恰呼应了新哲研创中心的初心——为学生提供顶尖科研资源与支持，让这份好奇心能在专业土壤中落地生根、茁壮成长。

Dr. Sun noted, "Michael has strong curiosity, execution, and focus beyond his peers." This aligns with the Research and Innovation Center’s mission: providing top research resources to nurture curiosity.

▲新哲研创中心特色及师资

Asked about memorable moments, Michael said, "Seeing the system recommend Australian rules football—I thought, ‘This model gets Australians.’ Few outside Australia know it."

他坦言，过程中也有过怀疑和疲惫，尤其是数据不理想、模型跑不出来结果时，曾一度想放弃。“但每次坚持下去，总会有小突破。科研其实很像游戏，不断打怪升级，最后打通关。”

He admitted doubts and fatigue, especially when data or models failed, but persisted: "Research is like a game—leveling up until you win."

Michael说，论文发表只是开始，他希望未来能继续深耕数学科学与数据分析方向，真正将科研能力用于解决现实问题，为社会可持续发展贡献自己的力量。

Michael views the publication as a start. He plans to deepen his work in mathematical science and data analysis, applying research skills to solve real-world problems and contribute to sustainable development.

Congratulations to Sendeltas—may they shine further