III: Medium: Collaborative Research: Scaling Time Series Analytics to Massive Seismology Datasets

该项目将使加州大学河滨分校、加州大学圣地亚哥分校和新墨西哥大学的计算机科学家和地球科学家团队能够开发新的工具，以搜索现有的地震学数据库，寻找可能逃脱检测的细微地震。这些更完整的地震目录将允许进行更准确的危险分析和降低风险。拟议工作的智力价值在于创建了新的数据表示、定义、算法(以及最终的高度可用的开放源代码)，这将使地震界能够极大地扩展他们可以离线和实时执行的分析的类型和规模。该项目的更广泛影响来自于创建了更全面、更完整的地震目录。这些都有可能影响地震科学的多个分支。例如，从目录中得出的更准确的危险和风险模型可供政府和私营企业用来规划和减少经济和人员损失，例如，通过强制要求有弹性的建筑和基础设施，以及通过准确评估投保风险。此外，项目全面的教育和推广活动已经在小规模上进行了试点，包括详细的计划，接触到K-12和大学一级服务不足的社区，创建适合年级的教学资源，利用大多数K-12学生对地震戏剧的自然兴趣。人类注意到大地震，但由于断层线不断滑动而频繁发生的较小地震通常不会被注意到，即使是有能力进行遥测的熟练地震学家也是如此。然而，这些不可察觉的地震可以帮助我们了解触发危险地震的物理过程，帮助减少灾害。最近，一种名为矩阵配置文件的新型数据结构已经成为在大型数据集中发现模式的一种非常有前途的技术。PIS是一个由计算机科学家和地震学家组成的跨学科团队，他们建议研究使用Matrix Profile的技术，将可以调查的数据集的规模扩大100倍，以发现20倍以上的地震。这个项目的智力优势将导致新颖的数据表示、定义、算法(最终是高度可用的开放源代码)，使地震界能够扩大他们可以执行的分析的类型和规模。这个项目的更广泛的影响很难被夸大。全面和完整的地震目录是地震科学的多个分支的基础，特别是地震成核、危险分析和降低风险的物理学。由此得出的风险和风险模型可供政府和私营企业用来规划和减少经济和人员损失，例如通过强制要求有弹性的建筑和基础设施，以及通过准确评估投保风险。该项目的全面教育和外展活动已经在小规模上进行了试点，包括在K-12和大学层面接触服务不足的社区的详细计划。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project will enable a team of computer scientists and earth scientists at the University of California-Riverside, the University of California-San Diego and the University of New Mexico to develop novel tools to search existing seismographic databases for subtle earthquakes that may have evaded detection. These more complete earthquake catalogues will allow more accurate hazard analysis and risk reduction. The intellectual merit of the proposed work is in creating novel data representations, definitions, algorithms (and ultimately, highly usable open-source code) that will allow the seismological community greatly to expand both the type and the scale of the analytics that they can perform, both offline and in real time. The broader impacts of this project results from the more comprehensive and complete earthquake catalogs created. These have the potential to affect multiple branches of earthquake science. For example, the more accurate hazard and risk models derived from the catalogs can be used by governments and private industry to plan for and mitigate economic and human losses, e.g., by mandating resilient construction and infrastructure, and by accurately assessing insured risk. In addition, the projects comprehensive educational and outreach activities have already been piloted on a small scale and include detailed plans to reach out to underserved communities at the K-12 and college levels, and to create grade-level appropriate teaching resources that exploit the natural interest most K-12 students have in the drama of earthquakes.Humans notice large earthquakes, but the frequently occurring smaller quakes caused by the constant slipping of fault lines typically go unnoticed, even by skilled seismologists with access to telemetry. However, these imperceptible quakes could help us understand the physical processes that trigger hazardous earthquakes, assisting in hazard-reduction efforts. Recently, a novel data structure called the Matrix Profile has emerged as a very promising technique for pattern discovery in large datasets. The PIs, an interdisciplinary team of computer scientists and seismologists, propose to investigate techniques to use Matrix Profile the scale up the size of datasets that can be investigated by 100X magnitude, to find 20X more earthquakes. The intellectual merit of this project will result in novel data representations, definitions, algorithms (and ultimately, highly usable open-source code) that will allow the seismological community to expand both the type and the scale of the analytics that they can perform. The broader impacts of this project are difficult to overstate. Comprehensive and complete earthquake catalogs are foundational to multiple branches of earthquake science, notably the physics of earthquake nucleation, hazard analysis and risk reduction. The hazard and risk models derived from them can be used by governments and private industry to plan for and mitigate economic and human losses, e.g. by mandating resilient construction and infrastructure, and by accurately assessing insured risk. The project’s comprehensive educational and outreach activities have already been piloted on a small scale and include detailed plans to reach out to under-served communities at the K-12 and college levels.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.