SBIR Phase I: Consumer Centric Parametric Insurance

SBIR 第一阶段：以消费者为中心的参数保险

• 批准号: 2027568
• 负责人: Nicholas Cavanaugh
• 金额: $ 25.6万
• 依托单位: SENSIBLE WEATHER CO
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-12-15 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2027568&HistoricalAwards=false
• 关键词: SBIR; Phase; Consumer; Centric; Parametric

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to bring climate risk management tools, including parametric insurance, to the consumer leisure travel, events, and outdoor recreation markets. This project quantifies the probability of contextually relevant weather events and presents these analytics through a suite of tools to help plan for weather variability. The project will make previously uninsurable weather and climate risks broadly insurable for the first time.This Small Business Innovation Research (SBIR) Phase I project will develop a high-performance data service and application programming interface (API) for historical weather and forecast data to power an advanced machine learning data analytics front-end and an actuarial parametric weather insurance platform. The data service will access over 40 years of structured historical weather data recorded at hourly and sub-hourly temporal resolution and at spatial scales of less than 10 km, globally, in addition to multiple ensemble-based National Weather Prediction forecasts at similar spatial resolutions. This data service will power a front end capable of millions of location-specific queries and analysis requests per day. In order to accomplish the technical objective of second or sub-second access times, the open-source and proprietary software will need to be used in conjunction with existing cloud services provided by the leading cloud providers, principally caching, streaming, and scaling / load balancing.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.

这个小型企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是将气候风险管理工具，包括参数保险，带到消费者休闲旅游，活动和户外娱乐市场。该项目量化了与上下文相关的天气事件的概率，并通过一套工具提供这些分析，以帮助规划天气变化。该项目将首次使以前不可保的天气和气候风险广泛可保。这个小企业创新研究（SBIR）第一阶段项目将为历史天气和预报数据开发一个高性能数据服务和应用程序编程接口（API），为先进的机器学习数据分析前端和精算参数天气保险平台提供支持。该数据服务将访问以小时和亚小时时间分辨率记录的40多年的结构化历史天气数据，以及全球范围内小于10公里的空间尺度，以及类似空间分辨率的多个基于集合的国家天气预报预报。这项数据服务将为前端提供动力，每天能够处理数百万个特定位置的查询和分析请求。为了实现秒级或亚秒级访问时间的技术目标，开源和专有软件将需要与领先的云提供商提供的现有云服务结合使用，主要是缓存，流媒体，和缩放/该奖项反映了美国国家科学基金会的法定使命，并通过利用基金会的知识价值和更广泛的影响进行评估，被认为值得支持审查标准。