D: Computing the Biome

D：计算生物群落

• 批准号: 2134862
• 负责人: Janos Sztipanovits
• 金额: $ 499.9万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2134862&HistoricalAwards=false
• 关键词: Computing; Biome

Individuals, industries, societies, and governments want to stay healthy. They need cost-effective systems to detect biological threats and predict future disease outbreaks as early as possible. COVID-19 acutely and painfully demonstrated the impacts of the unpredicted. The goals of this program, Computing the Biome, are twofold: (1) demonstrate an extensible data and AI platform that continuously monitors and predicts biothreats in a major U.S. city, and (2) create a framework for economic sustainability and global scalability of these results, by empowering businesses and advanced science missions to consume predictions and produce valuable consumer apps and breakthroughs.This team will produce and interconnect novel data streams ranging from kilometer-scale hyper-local weather, to autonomously identified disease transmitting insects (only millimeters in size), to genomically recognized known and novel viruses (only nanometers in size) – demonstrating that cross-cutting continuous data streams for biothreat detection and prediction can be rapidly unlocked. By combining their expertise in ecology, epidemiology, and virology, the team will design new predictive models and anomaly detectors. This project will develop the first of these high-impact AIs focused on predicting mosquito-borne diseases, which are difficult to control and impact over 600 million people per year. More broadly, the resulting data platform will empower development of new foundational methods for use by the AI community – based on real-world data and grounded in the societal challenges of our age.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.

个人、行业、社会和政府都希望保持健康。他们需要具有成本效益的系统来尽早发现生物威胁和预测未来的疾病爆发。COVID-19尖锐而痛苦地展示了不可预测的影响。该计划“计算生物群落”的目标有两个：（1）展示一个可扩展的数据和人工智能平台，持续监测和预测美国主要城市的生物威胁，（2）为这些结果的经济可持续性和全球可扩展性创建一个框架，通过授权企业和先进的科学任务来消费预测，并产生有价值的消费者应用程序和突破。这个团队将生产和互联新的数据流，从更大规模的超本地天气，到自主识别的疾病传播昆虫（只有毫米大小），到基因组识别的已知和新型病毒（只有纳米大小）-表明用于生物威胁检测和预测的跨领域连续数据流可以快速解锁。通过结合他们在生态学，流行病学和病毒学方面的专业知识，该团队将设计新的预测模型和异常检测器。该项目将开发第一个高影响力的人工智能，专注于预测蚊子传播的疾病，这些疾病难以控制，每年影响超过6亿人。更广泛地说，由此产生的数据平台将基于真实世界的数据并基于我们这个时代的社会挑战，为人工智能社区开发新的基础方法提供支持。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。