2025 NASA hackathon
challenges
See some of the challenges in the NASA Hackathon
2025年部分挑战任务
目前NASA挑战的数据源和挑战任务详情页面已关闭，我们将2025年的部分挑战课题重新排序，以由难到易的顺序呈现以供参考。在项目中，参与团队可以选择仅使用NASA的开源数据，也可以将它们与其他可兼容的数据源结合使用以增强项目质量。
2. 猎寻系外行星
难度： 高级
主题： 人工智能与机器学习、数据分析、数据管理、数据可视化、系外天体、行星与卫星、软件、太空探索
内容： 将 NASA 开放式的系外行星观测数据转化为一套自动化的行星猎人系统。虽然人类已经发现了数千颗太阳系外的行星，但过去大部分发现都依赖于耗时的人工筛选。你的任务是利用系外行星开源数据库（如 TESS 或 Kepler 任务的亮度数据）训练一个模型。该模型需要能够自动识别数据中的微小信号（如行星经过恒星时造成的亮度下降），从而在海量的宇宙观测资料中精准地搜寻并确认新的系外行星。
Data from several different space-based exoplanet surveying missions have enabled discovery of thousands of new planets outside our solar system, but most of these exoplanets were identified manually. With advances in artificial intelligence and machine learning (AI/ML), it is possible to automatically analyze large sets of data collected by these missions to identify exoplanets. Your challenge is to create an AI/ML model that is trained on one or more of the open-source exoplanet datasets offered by NASA and that can analyze new data to accurately identify exoplanets.
NASA DATA & RESOURCES：https://www.
14. 追踪鲨鱼
难度： 高级
主题： 数据分析、数据可视化、设计、地球科学、动植物、预测、硬件、设计交互
内容： “非对称信息”难题。虽然我们已经能从太空监测海洋的视觉指标（如光合作用强度），但追踪鲨鱼这种深海霸主依然极具挑战。你的任务是利用海洋数据（如水温、叶绿素浓度、洋流等），构建一个数学模型来识别鲨鱼的潜在位置并预测它们的觅食栖息地。同时，需要设计一种电子追踪标签的硬件概念模型：它不仅要能定位鲨鱼在哪，还要能感知它们正在吃什么，并实时将这些数据传输回地面，即“数据+硬件”结合。
Earth’s ocean is one of the most powerful habitats in our universe, supporting a range of life that sustains ecosystems and habitability across the globe. It is common to measure photosynthetic activity in the ocean from space, but far more challenging to track top predators. Your challenge is to create a mathematical framework for identifying sharks and predicting their foraging habitats using NASA satellite data, and also to suggest a new conceptual model of a tag (a small electronic device that can be attached to an animal to track and study its movement) that could measure not only where sharks are, but what they are eating, and in real time transmit that data back to users to enable development of predictive models.
NASA DATA & RESOURCES：https://www.
17. 用 SAR 揭示地球进程
难度：中级、高级
主题： 交互、数据分析、数据可视化、地球科学、人造卫星、叙事
内容：合成孔径雷达（SAR）因为能够穿透云层和黑夜而变得很重要，但 SAR 图像非常难以理解，它不是照片，而是相干回波。请你使用合成孔径雷达 (SAR) 数据来观察，选择研究区域（如城市、湿地、火山、洪水灾区等）的多频或多极化 SAR 数据，利用这些数据对其物理驱动因素提出假设，比如从这些“满是麻点”的雷达图中提取出物理驱动力（如判断该湿地的干涸是因为降水减少还是地下水过度抽取）。
wetland, ice sheet, forest wildfire, flooded neighborhood, volcano eruption, etc.—and use that data to develop hypotheses about the physical drivers operating there.Like Alice in Wonderland, let’s travel down the rabbit hole… to reveal a world that looks like our planet Earth… but not quite! Using synthetic aperture radar (SAR), we can image the world by emitting radar pulses toward Earth and recording the energy that is reflected back after the signals interact with Earth's surface. Your challenge is to download multi-frequency or multi-polarization SAR data for an interesting study area of your choice –e.g., your hometown, a tropical
NASA DATA & RESOURCES：https://www.
15. 革新宇宙回收技术（深空生存挑战）
难度： 中级、高级
主题： 设计、人体工程学与人为因素、栖息地、行星与卫星、太空探索、废物与资源
内容： 如果人类去火星，每克携带重量都价值千金。目前的国际空间站主要是把垃圾丢进大气层烧掉，但在太空上，垃圾就是资源。请你利用封闭式循环系统的物质守恒计算，在低重力、极高成本环境下进行无机物再生。目前科学家们也没能完全解决火星基地的废物处理闭环模型。假设一个 8 人小组的火星往返任务会产生 12,600 公斤的无机废物。请你的团队设计一个可持续工具系统，用于管理、重复利用或回收带到火星表面及在火星上积累的无机垃圾。
During a hypothetical three-year mission to Mars and back, an eight-person crew would accumulate 12,600 kg of inorganic waste, or trash, including various packaging materials, textiles, and structural materials. This scenario creates a pressing need to recycle available materials, rather than execute the expensive and inefficient processes of transporting additional resources from Earth and/or sending trash back to Earth. As humans prepare to explore unknown worlds in the future, your challenge is to design sustainable systems that could manage, reuse, or recycle inorganic waste (“trash”) that is brought to and/or accumulated on the surface of Mars.
NASA DATA & RESOURCES：https://www.
11. 国际空间站应用
难度： 中级、高级
主题： 设计、地球轨道、人体工程学与人为因素、游戏、平面设计、栖息地、人造卫星、太空探索
内容： 你正坐在宇宙空间站的穹顶舱抬头看，这种极致的视觉冲击让我们学会如何从不同的视角看待地球。但离开舱门步入太空并不简单，宇航员需要经历长期训练来对抗失重。请你构建一个VR系统，展现宇宙空间站的体验。
需要着重体现两种感觉：1. 视觉震撼：从穹顶舱观察宇宙的视觉震撼、展现总观效应（Overview Effect）；2. 模拟太空“中性浮力”。
这种模拟在极端环境下作业的技术可以转化应用于深海救援和水下设施维修。模拟失重，也能针对长期失重导致的骨质疏松和肌肉萎缩的研究，帮助老年人康复治疗和肌肉萎缩症患者。
Crews onboard the International Space Station have many unique opportunities! They witness breathtaking Earth views from the station’s cupola—known as “the window to the world.” They also experience weightlessness and go outside the station on spacewalks, for which they must train extensively in the Neutral Buoyancy Laboratory (NBL) at the Sonny Carter Training Facility in Houston, Texas. Your challenge is to create a visual tool that not only helps students and the public understand two of the most prominent sensory experiences on the station (sight and weightlessness) through the lens of the cupola and the NBL, but also informs them how these unique experiences benefit humans on Earth.
NASA DATA & RESOURCES：https://www.
8. 从海洋到天空的沉浸式数据故事
难度： 中级、高级
主题： 艺术与多媒体、数据分析、数据管理、数据可视化、地球科学、栖息地、卫星、太空探索、叙事、虚拟现实
内容： 利用虚拟现实（VR）技术，将 NASA 数据转化为直观且震撼的海底叙事空间。大众难以接触并理解抽象而复杂的科学数据集，你的任务就是打破专业壁垒，创造一个沉浸式的 VR 空间，通过震撼的视觉场景、身临其境的空间音频和交互互动，让用户“潜入”深海中，亲身感受海洋的美及其对地球的影响，把枯燥的观测数据集变成一个人人都能感同身受的海洋叙事。
Satellite observations reveal insights about our dynamic home planet to scientists, but people without a remote sensing background often find the stories within these datasets difficult to access. NASA’s open data policy makes these observations available to everyone—scientists and non-scientists alike. Your challenge is to build a short, immersive, virtual reality (VR) experience that leverages NASA’s Earth observation datasets and visualizations to bring stories about our planet’s oceans to life, connecting a broad audience to this data, its beauty, and its impact. Using visuals, spatial audio, and even interactive elements, your VR experience can enable users to dive deeper into Earth’s unfolding ocean story.
NASA DATA & RESOURCES：https://www.
9.放大人类视野
难度： 中级
主题： 数据分析、数据管理、数据可视化、系外天体、软件、太空探索、视频/摄影、Web 开发
内容： 让大众能够深度探索 NASA 那些拥有数十亿乃至万亿像素的“超级巨图”。虽然手机屏幕或人类肉眼的分辨率已经很高，但 NASA 航天任务捕捉到的地球与深空影像在清晰度上早已突破极限。你的任务是构建一个技术平台，解决超大规模数据集的加载与展示难题，实现像地图软件一样丝滑的无限缩放体验。同时它还需具备交互功能，允许大众在海量细节中标记已知特征、标注科学发现，并利用这些超高清视角去挖掘隐藏在像素深处的故事。
While your cell phone screen can display about three million pixels of information and your eye can receive more than ten million pixels, NASA images from space are even bigger! NASA’s space missions continue to push the boundaries of what is technologically possible, providing high-resolution images and videos of Earth, other planets, and space with billions or even trillions of pixels. Your challenge is to create a platform that allows users to zoom in and out on these massive image datasets, label known features, and discover new patterns.
NASA DATA & RESOURCES：https://www.
13. 农场导航
难度： 中级、高级
主题： 农业、经济、数据分析、数据可视化、地球科学、教育、动植物、游戏、污染、叙事
内容： 开发一哥农业模拟游戏，利用 NASA 的卫星数据来探索可持续耕作的未来。目前的农业领域迫切需要将高科技数据转化为生产力。你的任务是利用 NASA 开放的卫星图像和气候数据，在游戏中模拟施肥、灌溉和牲畜管理等关键农事活动。通过这款游戏，人们可以亲手操作不同的农业场景，直观地看到各种变量对农作物产量的影响，利用空间科学数据来指导现实中更智能、更环保的可持续农业创新。
The agriculture community faces the challenge of integrating technology and data to enhance sustainable farming practices. Simulating key farming activities like fertilizing, irrigating, and livestock management using real-world NASA satellite imagery and climate data can enable better understanding of the impacts of these variables on crop production. Your challenge is to create an engaging educational game that effectively utilizes NASA’s open data sets to simulate farming scenarios and enables players to learn how this data can inform innovative, sustainable, agricultural methods.
NASA DATA & RESOURCES：https://www.
10. 利用云端观测数据预测更清洁安全的天空
难度： 中级、高级
主题： 人工智能与机器学习、经济、数据分析、地球科学、预测、污染、天气、Web 开发
内容： 利用 NASA TEMPO 任务的革命性数据，创建一个实时空气质量预报 Web 应用。TEMPO 任务正在重塑北美地区的空气监测能力，而你的任务是将这些尖端的卫星数据与地面监测站、气象数据进行深度融合。你需要开发一个能够实时预测空气质量并主动向用户发送污染预警的 Web 程序，帮助大众做出更明智的出行和健康决策。同时，鼓励使用能实现从本地到云端无缝扩展技术（如分布式计算或混合云架构）来提高团队协作效率并增强数据的处理能力。
NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission is revolutionizing air quality monitoring across North America by enabling better forecasts and reducing pollutant exposure. Your challenge is to develop a web-based app that forecasts air quality by integrating real-time TEMPO data with ground-based air quality measurements and weather data, notifying users of poor air quality, and helping to improve public health decisions. Teams are encouraged to utilize new technologies that allow seamless scaling of computing from local devices to cloud systems, enhancing collaboration and streamlining work efficiency.
NASA DATA & RESOURCES：https://www.
18. 极端天气概率
难度： 中级
主题： 数据分析、数据可视化、预测、软件、天气、Web 开发
内容： 开发一个户外气象预报应用，自定义查询来规避极端天气风险。传统的预报可能不够直观，你需要利用 NASA 的地球观测数据，构建一个交互式界面，让大众能够针对特定的时间和地点做定制化查询。应用需要计算并告知出现“极热”、“极冷”、“强风”、“极度潮湿”或“极度不舒适”等条件的概率。将海量的数据转化为通俗易懂的风险评估，计算出大众活动被极端天气毁掉的概率。
If you’re planning an outdoor event—like a vacation, or a hike on a trail, or fishing on a lake—it would be good to know the chances of adverse weather for the time and location you are considering. There are many types of Earth observation data that can provide information on weather conditions for a particular location and day of the year. Your challenge is to construct an app with a personalized interface that enables users to conduct a customized query to tell them the likelihood of “very hot,” “very cold,” “very windy,” “very wet,” or “very uncomfortable” conditions for the location and time they specify.
NASA DATA & RESOURCES：https://www.
12. 流星狂热 (Meteor Madness)
难度： 初级、中级、高级
主题： 天体物理学、编程、数据分析、数据可视化、灾难响应、系外天体、预测、太空探索、统计学
内容： 面对名为“Impactor-2025”的近地小行星威胁，公众和决策者需要直观的工具来理解危机。你的任务是将 NASA 的小行星数据集与地质调查局的地形数据相结合，创建一个模拟平台。大众可以通过该工具模拟不同撞击情景，预测其对地表的破坏后果，并评估各种防御策略的有效性，做一个连接实时数据与危机决策的推演沙盘。
A newly identified near-Earth asteroid, "Impactor-2025," poses a potential threat to Earth, but do we have the tools to enable the public and decision makers to understand and mitigate its risks? NASA datasets include information about known asteroids and the United States Geological Survey provides critical information that could enable modeling the effects of asteroid impacts, but these data need to be integrated to enable effective visualization and decision making. Your challenge is to develop an interactive visualization and simulation tool that uses real data to help users model asteroid impact scenarios, predict consequences, and evaluate potential mitigation strategies.
NASA DATA & RESOURCES：https://www.
3. 全球花卉物候观测应用
难度： 初级、中级、高级
主题： 艺术与多媒体、数据分析、数据可视化、预测、物候、虚拟现实、传播
内容： 像授粉者（如蜜蜂或蝴蝶）一样追踪全球植被的脉动。地球的植被随季节和年份不断更迭，这背后隐藏着植物物种、农作物生长、花粉来源以及植物物候（即植物生命周期与气候的关系）的关键信息。你的任务是利用 NASA 的地球观测数据，创建一个能够实时显示或检测全球植被开花盛况的系统。它不仅要展现自然之美，更要提供科学的监测与预测方案，帮助人类更好地应对气候变化对植被管理及生态平衡带来的挑战。
Witness the pulse of life across our planet! From season to season and year to year, Earth’s vegetation is constantly changing, providing critical information on plant species, crops, seasonal effects, pollen sources, and changes in plant phenology (the relationship between seasonal changes and climate and biological phenomena in plants). Your challenge is to harness the power of NASA Earth observations to create a dynamic visual tool that displays and/or detects plant blooming events around the globe—just like pollinators do–and that advances solutions for monitoring, predicting, or managing vegetation.
NASA DATA & RESOURCES：https://www.
4. 空间生物学知识引擎
难度： 初级、中级、高级
主题： 人工智能与机器学习、数据管理、动植物、软件、传播
内容： 利用人工智能和知识图谱技术，将 NASA 过去几十年海量的太空生物实验数据转化为一个直观、可交互的智能仪表 Dashboard。由于科学数据集极其庞杂，研究者很难快速锁定特定领域的信息。你的任务是开发一个分析工具，它能够自动提取并总结 NASA 生物科学文献的核心发现，展示太空环境对生物体的影响及实验结果。
Enable a new era of human space exploration! NASA has been performing biology experiments in space for decades, generating a tremendous amount of information that will need to be considered as humans prepare to revisit the Moon and explore Mars. Although this knowledge is publicly available, it can be difficult for potential users to find information that pertains to their specific interests. Your challenge is to build a dynamic dashboard that leverages artificial intelligence (AI), knowledge graphs, and/or other tools to summarize a set of NASA bioscience publications and enables users to explore the impacts and results of the experiments these publications describe.
NASA DATA & RESOURCES：https://www.
1. Terra 数据庆祝
难度： 初级、中级、高级
主题： 艺术与多媒体、数据分析、数据管理、数据可视化、地球科学、物候、人造卫星、叙事、视频/摄影、天气
内容： 你的任务是挖掘这些横跨四分之一世纪的数据宝库，通过动画或动态影像的形式，展现某项科学进程或特殊事件的演变，比如冰川的消融、城市化的扩张、或是森林火灾的周期。作品不仅要展示数据的美感，更要深刻揭示这些全球性的变化如何影响到你、你的社区乃至整个生态环境的未来。
NASA’s oldest daily Earth-viewing satellite – Terra – just turned 25 years old, and with five continuously operating instruments onboard (most taking imagery at the same time), Terra has piled up a LOT of data over the years (over 9,000 days and counting!). This data has the potential to shed light on everything from scientific processes to unique events, all while helping solve problems that affect humans. Your challenge is to use data from any or all of Terra’s five instruments to create an animated product showcasing an Earth science story and emphasizing the impacts to you, your community, and/or the environment.
NASA DATA & RESOURCES：https://www.
6. 自定义挑战 (Create Your Own Challenge)
难度： 初级
内容： 如果你有不符合上述任何类别的创意，或者只是想寻找入门体验，可以设定自己的挑战。制作应用、艺术品、故事、教具或探索使用科学数据的新方式。注：此类别不参与全球评审。
Do you have an idea that doesn’t quite fit into any of our challenges? Looking for beginner experience? This is your moment to dream big and Create Your Own Challenge! Whether you want to create an app, artwork, story, lesson, tool, or explore an innovative way to use NASA data, you set the challenge. Please note that while some Local Events may offer awards for "Create Your Own Challenge" projects, this challenge is not eligible for Global Judging, and projects do not qualify for Global Awards.This challenge allows the use of self-selected data, but entries will not advance to the global evaluation stage.
2. 猎寻系外行星
难度： 高级
主题： 人工智能与机器学习、数据分析、数据管理、数据可视化、系外天体、行星与卫星、软件、太空探索
内容： 将 NASA 开放式的系外行星观测数据转化为一套自动化的行星猎人系统。虽然人类已经发现了数千颗太阳系外的行星，但过去大部分发现都依赖于耗时的人工筛选。你的任务是利用系外行星开源数据库（如 TESS 或 Kepler 任务的亮度数据）训练一个模型。该模型需要能够自动识别数据中的微小信号（如行星经过恒星时造成的亮度下降），从而在海量的宇宙观测资料中精准地搜寻并确认新的系外行星。
Data from several different space-based exoplanet surveying missions have enabled discovery of thousands of new planets outside our solar system, but most of these exoplanets were identified manually. With advances in artificial intelligence and machine learning (AI/ML), it is possible to automatically analyze large sets of data collected by these missions to identify exoplanets. Your challenge is to create an AI/ML model that is trained on one or more of the open-source exoplanet datasets offered by NASA and that can analyze new data to accurately identify exoplanets.
NASA DATA & RESOURCES：https://www.
14. 追踪鲨鱼
难度： 高级
主题： 数据分析、数据可视化、设计、地球科学、动植物、预测、硬件、设计交互
内容： “非对称信息”难题。虽然我们已经能从太空监测海洋的视觉指标（如光合作用强度），但追踪鲨鱼这种深海霸主依然极具挑战。你的任务是利用海洋数据（如水温、叶绿素浓度、洋流等），构建一个数学模型来识别鲨鱼的潜在位置并预测它们的觅食栖息地。同时，需要设计一种电子追踪标签的硬件概念模型：它不仅要能定位鲨鱼在哪，还要能感知它们正在吃什么，并实时将这些数据传输回地面，即“数据+硬件”结合。
Earth’s ocean is one of the most powerful habitats in our universe, supporting a range of life that sustains ecosystems and habitability across the globe. It is common to measure photosynthetic activity in the ocean from space, but far more challenging to track top predators. Your challenge is to create a mathematical framework for identifying sharks and predicting their foraging habitats using NASA satellite data, and also to suggest a new conceptual model of a tag (a small electronic device that can be attached to an animal to track and study its movement) that could measure not only where sharks are, but what they are eating, and in real time transmit that data back to users to enable development of predictive models.
NASA DATA & RESOURCES：https://www.
17. 用 SAR 揭示地球进程
难度：中级、高级
主题： 交互、数据分析、数据可视化、地球科学、人造卫星、叙事
内容：合成孔径雷达（SAR）因为能够穿透云层和黑夜而变得很重要，但 SAR 图像非常难以理解，它不是照片，而是相干回波。请你使用合成孔径雷达 (SAR) 数据来观察，选择研究区域（如城市、湿地、火山、洪水灾区等）的多频或多极化 SAR 数据，利用这些数据对其物理驱动因素提出假设，比如从这些“满是麻点”的雷达图中提取出物理驱动力（如判断该湿地的干涸是因为降水减少还是地下水过度抽取）。
wetland, ice sheet, forest wildfire, flooded neighborhood, volcano eruption, etc.—and use that data to develop hypotheses about the physical drivers operating there.Like Alice in Wonderland, let’s travel down the rabbit hole… to reveal a world that looks like our planet Earth… but not quite! Using synthetic aperture radar (SAR), we can image the world by emitting radar pulses toward Earth and recording the energy that is reflected back after the signals interact with Earth's surface. Your challenge is to download multi-frequency or multi-polarization SAR data for an interesting study area of your choice –e.g., your hometown, a tropical
NASA DATA & RESOURCES：https://www.
15. 革新宇宙回收技术（深空生存挑战）
难度： 中级、高级
主题： 设计、人体工程学与人为因素、栖息地、行星与卫星、太空探索、废物与资源
内容： 如果人类去火星，每克携带重量都价值千金。目前的国际空间站主要是把垃圾丢进大气层烧掉，但在太空上，垃圾就是资源。请你利用封闭式循环系统的物质守恒计算，在低重力、极高成本环境下进行无机物再生。目前科学家们也没能完全解决火星基地的废物处理闭环模型。假设一个 8 人小组的火星往返任务会产生 12,600 公斤的无机废物。请你的团队设计一个可持续工具系统，用于管理、重复利用或回收带到火星表面及在火星上积累的无机垃圾。
During a hypothetical three-year mission to Mars and back, an eight-person crew would accumulate 12,600 kg of inorganic waste, or trash, including various packaging materials, textiles, and structural materials. This scenario creates a pressing need to recycle available materials, rather than execute the expensive and inefficient processes of transporting additional resources from Earth and/or sending trash back to Earth. As humans prepare to explore unknown worlds in the future, your challenge is to design sustainable systems that could manage, reuse, or recycle inorganic waste (“trash”) that is brought to and/or accumulated on the surface of Mars.
NASA DATA & RESOURCES：https://www.
11. 国际空间站应用
难度： 中级、高级
主题： 设计、地球轨道、人体工程学与人为因素、游戏、平面设计、栖息地、人造卫星、太空探索
内容： 你正坐在宇宙空间站的穹顶舱抬头看，这种极致的视觉冲击让我们学会如何从不同的视角看待地球。但离开舱门步入太空并不简单，宇航员需要经历长期训练来对抗失重。请你构建一个VR系统，展现宇宙空间站的体验。
需要着重体现两种感觉：1. 视觉震撼：从穹顶舱观察宇宙的视觉震撼、展现总观效应（Overview Effect）；2. 模拟太空“中性浮力”。
这种模拟在极端环境下作业的技术可以转化应用于深海救援和水下设施维修。模拟失重，也能针对长期失重导致的骨质疏松和肌肉萎缩的研究，帮助老年人康复治疗和肌肉萎缩症患者。
Crews onboard the International Space Station have many unique opportunities! They witness breathtaking Earth views from the station’s cupola—known as “the window to the world.” They also experience weightlessness and go outside the station on spacewalks, for which they must train extensively in the Neutral Buoyancy Laboratory (NBL) at the Sonny Carter Training Facility in Houston, Texas. Your challenge is to create a visual tool that not only helps students and the public understand two of the most prominent sensory experiences on the station (sight and weightlessness) through the lens of the cupola and the NBL, but also informs them how these unique experiences benefit humans on Earth.
NASA DATA & RESOURCES：https://www.
8. 从海洋到天空的沉浸式数据故事
难度： 中级、高级
主题： 艺术与多媒体、数据分析、数据管理、数据可视化、地球科学、栖息地、卫星、太空探索、叙事、虚拟现实
内容： 利用虚拟现实（VR）技术，将 NASA 数据转化为直观且震撼的海底叙事空间。大众难以接触并理解抽象而复杂的科学数据集，你的任务就是打破专业壁垒，创造一个沉浸式的 VR 空间，通过震撼的视觉场景、身临其境的空间音频和交互互动，让用户“潜入”深海中，亲身感受海洋的美及其对地球的影响，把枯燥的观测数据集变成一个人人都能感同身受的海洋叙事。
Satellite observations reveal insights about our dynamic home planet to scientists, but people without a remote sensing background often find the stories within these datasets difficult to access. NASA’s open data policy makes these observations available to everyone—scientists and non-scientists alike. Your challenge is to build a short, immersive, virtual reality (VR) experience that leverages NASA’s Earth observation datasets and visualizations to bring stories about our planet’s oceans to life, connecting a broad audience to this data, its beauty, and its impact. Using visuals, spatial audio, and even interactive elements, your VR experience can enable users to dive deeper into Earth’s unfolding ocean story.
NASA DATA & RESOURCES：https://www.
9.放大人类视野
难度： 中级
主题： 数据分析、数据管理、数据可视化、系外天体、软件、太空探索、视频/摄影、Web 开发
内容： 让大众能够深度探索 NASA 那些拥有数十亿乃至万亿像素的“超级巨图”。虽然手机屏幕或人类肉眼的分辨率已经很高，但 NASA 航天任务捕捉到的地球与深空影像在清晰度上早已突破极限。你的任务是构建一个技术平台，解决超大规模数据集的加载与展示难题，实现像地图软件一样丝滑的无限缩放体验。同时它还需具备交互功能，允许大众在海量细节中标记已知特征、标注科学发现，并利用这些超高清视角去挖掘隐藏在像素深处的故事。
While your cell phone screen can display about three million pixels of information and your eye can receive more than ten million pixels, NASA images from space are even bigger! NASA’s space missions continue to push the boundaries of what is technologically possible, providing high-resolution images and videos of Earth, other planets, and space with billions or even trillions of pixels. Your challenge is to create a platform that allows users to zoom in and out on these massive image datasets, label known features, and discover new patterns.
NASA DATA & RESOURCES：https://www.
13. 农场导航
难度： 中级、高级
主题： 农业、经济、数据分析、数据可视化、地球科学、教育、动植物、游戏、污染、叙事
内容： 开发一哥农业模拟游戏，利用 NASA 的卫星数据来探索可持续耕作的未来。目前的农业领域迫切需要将高科技数据转化为生产力。你的任务是利用 NASA 开放的卫星图像和气候数据，在游戏中模拟施肥、灌溉和牲畜管理等关键农事活动。通过这款游戏，人们可以亲手操作不同的农业场景，直观地看到各种变量对农作物产量的影响，利用空间科学数据来指导现实中更智能、更环保的可持续农业创新。
The agriculture community faces the challenge of integrating technology and data to enhance sustainable farming practices. Simulating key farming activities like fertilizing, irrigating, and livestock management using real-world NASA satellite imagery and climate data can enable better understanding of the impacts of these variables on crop production. Your challenge is to create an engaging educational game that effectively utilizes NASA’s open data sets to simulate farming scenarios and enables players to learn how this data can inform innovative, sustainable, agricultural methods.
NASA DATA & RESOURCES：https://www.
10. 利用云端观测数据预测更清洁安全的天空
难度： 中级、高级
主题： 人工智能与机器学习、经济、数据分析、地球科学、预测、污染、天气、Web 开发
内容： 利用 NASA TEMPO 任务的革命性数据，创建一个实时空气质量预报 Web 应用。TEMPO 任务正在重塑北美地区的空气监测能力，而你的任务是将这些尖端的卫星数据与地面监测站、气象数据进行深度融合。你需要开发一个能够实时预测空气质量并主动向用户发送污染预警的 Web 程序，帮助大众做出更明智的出行和健康决策。同时，鼓励使用能实现从本地到云端无缝扩展技术（如分布式计算或混合云架构）来提高团队协作效率并增强数据的处理能力。
NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission is revolutionizing air quality monitoring across North America by enabling better forecasts and reducing pollutant exposure. Your challenge is to develop a web-based app that forecasts air quality by integrating real-time TEMPO data with ground-based air quality measurements and weather data, notifying users of poor air quality, and helping to improve public health decisions. Teams are encouraged to utilize new technologies that allow seamless scaling of computing from local devices to cloud systems, enhancing collaboration and streamlining work efficiency.
NASA DATA & RESOURCES：https://www.
18. 极端天气概率
难度： 中级
主题： 数据分析、数据可视化、预测、软件、天气、Web 开发
内容： 开发一个户外气象预报应用，自定义查询来规避极端天气风险。传统的预报可能不够直观，你需要利用 NASA 的地球观测数据，构建一个交互式界面，让大众能够针对特定的时间和地点做定制化查询。应用需要计算并告知出现“极热”、“极冷”、“强风”、“极度潮湿”或“极度不舒适”等条件的概率。将海量的数据转化为通俗易懂的风险评估，计算出大众活动被极端天气毁掉的概率。
If you’re planning an outdoor event—like a vacation, or a hike on a trail, or fishing on a lake—it would be good to know the chances of adverse weather for the time and location you are considering. There are many types of Earth observation data that can provide information on weather conditions for a particular location and day of the year. Your challenge is to construct an app with a personalized interface that enables users to conduct a customized query to tell them the likelihood of “very hot,” “very cold,” “very windy,” “very wet,” or “very uncomfortable” conditions for the location and time they specify.
NASA DATA & RESOURCES：https://www.
12. 流星狂热 (Meteor Madness)
难度： 初级、中级、高级
主题： 天体物理学、编程、数据分析、数据可视化、灾难响应、系外天体、预测、太空探索、统计学
内容： 面对名为“Impactor-2025”的近地小行星威胁，公众和决策者需要直观的工具来理解危机。你的任务是将 NASA 的小行星数据集与地质调查局的地形数据相结合，创建一个模拟平台。大众可以通过该工具模拟不同撞击情景，预测其对地表的破坏后果，并评估各种防御策略的有效性，做一个连接实时数据与危机决策的推演沙盘。
A newly identified near-Earth asteroid, "Impactor-2025," poses a potential threat to Earth, but do we have the tools to enable the public and decision makers to understand and mitigate its risks? NASA datasets include information about known asteroids and the United States Geological Survey provides critical information that could enable modeling the effects of asteroid impacts, but these data need to be integrated to enable effective visualization and decision making. Your challenge is to develop an interactive visualization and simulation tool that uses real data to help users model asteroid impact scenarios, predict consequences, and evaluate potential mitigation strategies.
NASA DATA & RESOURCES：https://www.
3. 全球花卉物候观测应用
难度： 初级、中级、高级
主题： 艺术与多媒体、数据分析、数据可视化、预测、物候、虚拟现实、传播
内容： 像授粉者（如蜜蜂或蝴蝶）一样追踪全球植被的脉动。地球的植被随季节和年份不断更迭，这背后隐藏着植物物种、农作物生长、花粉来源以及植物物候（即植物生命周期与气候的关系）的关键信息。你的任务是利用 NASA 的地球观测数据，创建一个能够实时显示或检测全球植被开花盛况的系统。它不仅要展现自然之美，更要提供科学的监测与预测方案，帮助人类更好地应对气候变化对植被管理及生态平衡带来的挑战。
Witness the pulse of life across our planet! From season to season and year to year, Earth’s vegetation is constantly changing, providing critical information on plant species, crops, seasonal effects, pollen sources, and changes in plant phenology (the relationship between seasonal changes and climate and biological phenomena in plants). Your challenge is to harness the power of NASA Earth observations to create a dynamic visual tool that displays and/or detects plant blooming events around the globe—just like pollinators do–and that advances solutions for monitoring, predicting, or managing vegetation.
NASA DATA & RESOURCES：https://www.
4. 空间生物学知识引擎
难度： 初级、中级、高级
主题： 人工智能与机器学习、数据管理、动植物、软件、传播
内容： 利用人工智能和知识图谱技术，将 NASA 过去几十年海量的太空生物实验数据转化为一个直观、可交互的智能仪表 Dashboard。由于科学数据集极其庞杂，研究者很难快速锁定特定领域的信息。你的任务是开发一个分析工具，它能够自动提取并总结 NASA 生物科学文献的核心发现，展示太空环境对生物体的影响及实验结果。
Enable a new era of human space exploration! NASA has been performing biology experiments in space for decades, generating a tremendous amount of information that will need to be considered as humans prepare to revisit the Moon and explore Mars. Although this knowledge is publicly available, it can be difficult for potential users to find information that pertains to their specific interests. Your challenge is to build a dynamic dashboard that leverages artificial intelligence (AI), knowledge graphs, and/or other tools to summarize a set of NASA bioscience publications and enables users to explore the impacts and results of the experiments these publications describe.
NASA DATA & RESOURCES：https://www.
1. Terra 数据庆祝
难度： 初级、中级、高级
主题： 艺术与多媒体、数据分析、数据管理、数据可视化、地球科学、物候、人造卫星、叙事、视频/摄影、天气
内容： 你的任务是挖掘这些横跨四分之一世纪的数据宝库，通过动画或动态影像的形式，展现某项科学进程或特殊事件的演变，比如冰川的消融、城市化的扩张、或是森林火灾的周期。作品不仅要展示数据的美感，更要深刻揭示这些全球性的变化如何影响到你、你的社区乃至整个生态环境的未来。
NASA’s oldest daily Earth-viewing satellite – Terra – just turned 25 years old, and with five continuously operating instruments onboard (most taking imagery at the same time), Terra has piled up a LOT of data over the years (over 9,000 days and counting!). This data has the potential to shed light on everything from scientific processes to unique events, all while helping solve problems that affect humans. Your challenge is to use data from any or all of Terra’s five instruments to create an animated product showcasing an Earth science story and emphasizing the impacts to you, your community, and/or the environment.
NASA DATA & RESOURCES：https://www.
6. 自定义挑战 (Create Your Own Challenge)
难度： 初级
内容： 如果你有不符合上述任何类别的创意，或者只是想寻找入门体验，可以设定自己的挑战。制作应用、艺术品、故事、教具或探索使用科学数据的新方式。注：此类别不参与全球评审。
Do you have an idea that doesn’t quite fit into any of our challenges? Looking for beginner experience? This is your moment to dream big and Create Your Own Challenge! Whether you want to create an app, artwork, story, lesson, tool, or explore an innovative way to use NASA data, you set the challenge. Please note that while some Local Events may offer awards for "Create Your Own Challenge" projects, this challenge is not eligible for Global Judging, and projects do not qualify for Global Awards.This challenge allows the use of self-selected data, but entries will not advance to the global evaluation stage.
