A Reading of the Record数据解读
What the Data Says
从数据里读丘奖
Six years of winners, read closely — so you can choose a subject and a direction with your eyes open.
六年的获奖记录，逐一细读——让你在选择学科与方向时心中有数。
This page is built for parents and students deciding whether to enter, and what to work on. It draws on every finals winner from 2020 to 2025, enlarged for the topic study with the published finalist and semifinal lists. We have tried to be honest about what the numbers can and cannot tell you — where a count is a fact, it is stated plainly; where a label is our best guess, it says so.
本页为正在权衡是否参赛、又该做什么的家长与学生而写。它取材于 2020 至 2025 年每一位总决赛获奖者，并在选题研究部分用公示的入围与半决赛名单加以扩充。我们力求诚实地说明数字能告诉你什么、不能告诉你什么——凡是计数即事实，就直说；凡是某个标签出于我们的推断，也会注明。
The Record at a Glance记录一览
By the Numbers概览
Counts cover the finals winners this archive indexes, 2020 through 2025. The 2025 cohort is larger because the competition added a Finalist (入围奖) tier that year — more on that below.
统计涵盖本档案收录的 2020 至 2025 年总决赛获奖者。2025 届人数更多，是因为该年赛事新增了「入围奖」这一奖项层级——下文详述。
How the Fields Have Grown学科如何成长
Winners by Subject, Year over Year学科趋势
The Shape of the Podium奖台的样貌
How the Medal Mix Shifted奖项结构
What People Are Working On大家在做什么
Hot Research Directions热门选题
Each cell counts how many paper titles in a subject we could tag to a research direction in a given year — darker means more. A title can fall under more than one direction; some fall under none. Pick your subject below and read down the column for what's growing, across for which directions dominate.
每个格子统计的是某学科在某一年里，我们能归类到某个研究方向的论文标题数量——颜色越深表示越多。一个标题可能落入多个方向，也可能一个都不属于。在下方选定你的学科，纵向读看哪个方向在增长，横向读看哪些方向占主导。
Who Wins Most谁赢得最多
The School Leaderboard获奖学校
The schools with the most indexed finals winners, 2020–2025. Mainland names are merged across bilingual and branch spellings (so "Shenzhen Middle School 深圳中学" and "深圳中学" count as one). Mustard bars are mainland; stone-blue bars are overseas or international divisions.
2020–2025 年收录的总决赛获奖者最多的学校。内地校名会跨双语写法与分校写法合并（因此「Shenzhen Middle School 深圳中学」与「深圳中学」算作一所）。芥黄色条为内地，石蓝色条为海外或国际部。
Two Tracks, One Award两条赛道，一个奖
Mainland vs Overseas内地与海外
Where the Mainland Winners Are内地获奖者来自何处
By Province省份分布
Read the Room看清门道
What Tends to Win, by Subject各学科评委偏好
For each subject we pair four things, drawn from the project whitepaper and the winner data. The panel summarizes the documented backgrounds of the award's judges (whitepaper ch.4) — a matter of public record. What tends to win, common pitfalls and advice draw on the whitepaper's per-subject analysis (ch.2) and on the directions that recur among actual winning papers. We have no access to judges' scores, so where a claim is our reading of winning-title patterns rather than documented fact, it says "our inference."
每个学科我们都从白皮书与获奖数据出发配齐四项内容。评委组概述该奖评委有据可查的背景（白皮书第 4 章），属公开记录。什么样的论文获奖、常见误区与给参赛者的建议则取自白皮书各学科分析（第 2 章），以及在真实获奖论文中反复出现的方向。我们无从得知评委评分，因此凡某项说法是我们对获奖标题规律的解读、而非有据可查的事实，都会注明「我们的推断」。
How to Use This如何使用本页
If You're Choosing a Direction给家长与学生
A word on limits: this archive indexes finals winners, not every entrant, so it tells you what wins, not your odds of winning. The topic study reads keywords out of titles — a rough instrument that misses work whose title hides its method. Mainland/overseas and province labels are derived from school names and can misfile an international division of a mainland school. Where you plan to stake a year of work, read the actual winning papers in Browse, not just these charts.
关于局限：本档案收录的是总决赛获奖者，而非每一位参赛者，所以它告诉你的是什么能获奖，而非你获奖的概率。选题研究是从标题里读关键词——一把粗糙的尺子，会漏掉那些标题隐藏了方法的工作。内地／海外与省份标签由校名推断而来，可能把内地学校的国际部误归一类。当你打算押上一年的工夫时，请到按学科浏览去读真正的获奖论文，而不只是看这些图表。