课题基金 / 基金详情

D: Computing the Biome

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:
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
项目状态:
已结题
起止时间:
2021-10-01 至 2024-09-30
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项目摘要

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中文摘要
翻译
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检测生物威胁和预测未来的疾病暴发。新冠肺炎尖锐而痛苦地展示了意想不到的影响。这个名为计算生物圈的计划的目标有两个:(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栖息地;(2)通过授权企业和高级科学任务使用预测并生产有价值的消费者应用程序和突破,为这些结果创建一个经济可持续性和全球可伸缩性的框架。该团队将产生和互联从千米级超本地天气到自主识别的传播疾病的昆虫(仅几毫米大小)的新颖数据流,到基因组识别的已知和新型病毒(只有纳米大小)--表明可以快速解锁用于生物硫酸盐检测和预测的横切连续数据流。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。该项目将开发这些高影响力的人工智能中的第一个,重点是预测蚊媒疾病,这种疾病很难控制,每年影响超过6亿人。更广泛地说,由此产生的数据平台将支持开发供人工智能社区使用的新基础方法-基于真实世界的数据,并基于我们时代的社会挑战。这一奖项反映了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。
英文摘要
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.
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NSF Convergence Accelerator Track D: Deep Monitoring of the Biome Will Converge Life Sciences, Policy, and Engineering
  • 批准号:
    2040688
  • 项目类别:
    Standard Grant
  • 资助金额:
    $92.4万
  • 财政年份:
    2020
  • 负责人:
    Janos Sztipanovits
  • 依托单位:
2018 CPS PI Meeting
  • 批准号:
    1840713
  • 项目类别:
    Standard Grant
  • 资助金额:
    $21.48万
  • 财政年份:
    2018
  • 负责人:
    Janos Sztipanovits
  • 依托单位:
2017 CPS PI Meeting
  • 批准号:
    1743523
  • 项目类别:
    Standard Grant
  • 资助金额:
    $37.04万
  • 财政年份:
    2017
  • 负责人:
    Janos Sztipanovits
  • 依托单位:
PIRE: Science of Design for Societal-Scale Cyber-Physical Systems
  • 批准号:
    1743772
  • 项目类别:
    Standard Grant
  • 资助金额:
    $400.0万
  • 财政年份:
    2017
  • 负责人:
    Janos Sztipanovits
  • 依托单位:
海外基金