课题基金 / 基金详情

Phase II I/UCRC [George Mason University]: Center for Spatiotemporal Thinking, Computing and Applications.

Phase II I/UCRC [George Mason University]: Center for Spatiotemporal Thinking, Computing and Applications.
II 期 I/UCRC [乔治梅森大学]:时空思维、计算和应用中心。
批准号:
1841520
负责人:
Chaowei Yang
金额:
$75.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-03-15 至 2025-02-28
关键词:

项目摘要

项目成果

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中文摘要
翻译
我们生活在一个四维的世界里,有三个空间维度和一个时间维度。综合地理解时空维度的性质将有助于我们更好地为21世纪及以后面临的挑战做好准备:a)通过更好的气候模拟来应对气候变化,B)减轻小行星对我们家园的影响,就像地球杀手一样,c)通过对相关国家的文化,边界,历史和未来的时空理解来解决政治争端,及d)为未来的领导者提供时空思维能力及决策支援工具。 在乔治梅森大学、哈佛大学和加州大学圣巴巴拉分校合作的时空产学合作研究中心(IUCRC)第一阶段研究取得成功之后,该中心第二阶段的使命是:1)建立一个国家和国际的时空基础设施; 2)与行业和机构成员一起开发新的时空技术、解决方案、工具和软件,这些技术、解决方案、工具和软件将易于与现有和未来的行业产品和服务集成; 3)通过开发一套构建在K-16课程中的时空思维方法来提高人类智力; 4)提高人类应对重大科学和工程挑战的能力。 将开展外联活动,以最大限度地扩大更广泛的影响:1)每年与四个以上的活跃成员密切合作,开发相关的方法和技术; 2)向行业和政府机构成员传播研究成果,并通过出版物进行推广,以获得更广泛的影响。3)与领先的协会合作,传播研究成果并招募新成员; 4)在现有的学位课程中开发新的课程材料和课程,并广播以供更广泛的采用; 5)继续我们多样化的传统,将少数民族和其他代表性不足的群体纳入STEM领域; 6)使所有成果开源,使国内和国际相关领域受益。该中心将在官方网站(https://www.stcenter.net/)和两个可通过官方网站访问的内容管理门户网站上发布所有信息。将利用项目管理网站分享所有项目报告、工作文件、介绍、海报和出版物。产生的数据和研究成果将被整合到中心的运营社区云(http://sites.cloud.gmu.edu/sthcp/index.php)中,作为中心长期可持续发展的可持续资源进行维护。该中心开发的源代码将使用github向公众开放。该奖项反映了NSF的法定使命,并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,被认为值得支持。
英文摘要
We live in a four dimensional world with three spatial dimensions and one temporal dimension. Understanding the nature of the spatiotemporal dimensions integratively will help us better prepare for challenges facing us in the 21st century and beyond: a) responding to climate change with better climate simulations, b) mitigating asteroids' impact to our home planet like the dinosaur-killer, c) resolving political disputations with spatiotemporal understanding of the culture, boundaries, history, and future of relevant nations, and d) equipping our future leaders with spatiotemporal thinking capability and decision support tools. Following the success of Phase I spatiotemporal Industry-University Cooperative Research Center (IUCRC) investigation as a collaboration among George Mason, Harvard, and the University of California-Santa Barbara, the second phase of the center will move forward with the mission to 1) build a national and international spatiotemporal infrastructure; 2) develop, with industry and agency members, new spatiotemporal technologies, solutions, tools, and software that will be easily integrated with existing and future industry products and services; 3) improve human intelligence by developing a set of spatiotemporal thinking methodologies built into K-16 curriculum; and 4) improving human capabilities in responding to grand scientific and engineering challenges. Outreach will be conducted to maximize the broader impacts: 1) collaborating closely with more than four active members each year to develop relevant methodologies and technologies; 2) disseminating research results to industry and government agency members and through publications for adoption and broader impacts. 3) working with leading associations to broadcast the research results and recruit new members; 4) developing new course material and curriculum within existing degree programs and broadcast for wider adoption; 5) continuing our diverse traditions to include minorities and other underrepresented groups in this STEM field; 6) making all results open source to benefit relevant domains nationally and internationally. The center will post all information on an official website (https://www.stcenter.net/) and two content management portals accessible through the official website. A project management website will be utilized to share all project reports, working papers, presentations, posters, and publications. The data and research results produced will be integrated into the center's operational community cloud (http://sites.cloud.gmu.edu/sthcp/index.php) to be maintained as a sustainable resource for the center for long term sustainability. Source code developed in the center will be open to the public using github.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.
期刊论文(84)
专著(0)
科研奖励(0)
会议论文
Predicting hourly PM2.5 concentrations in wildfire-prone areas using a SpatioTemporal Transformer model
使用 SpatioTemporal Transformer 模型预测野火多发地区每小时 PM2.5 浓度
DOI: 10.1016/j.scitotenv.2022.160446
发表时间: 2023
期刊: Science of The Total Environment
影响因子: 9.8
作者: [Yu, Manzhu, Masrur, Arif, Blaszczak-Boxe, Christopher]
通讯作者: Blaszczak-Boxe, Christopher
DOI: 10.1145/3534678.3539442
发表时间: 2022-07
期刊: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
影响因子: --
作者: [Guangji Bai;Liang Zhao]
通讯作者: Guangji Bai;Liang Zhao
DOI: 10.1109/icdm50108.2020.00068
发表时间: 2020-09
期刊: 2020 IEEE International Conference on Data Mining (ICDM)
影响因子: --
作者: [Junxiang Wang;Zheng Chai;Yue Cheng;Liang Zhao]
通讯作者: Junxiang Wang;Zheng Chai;Yue Cheng;Liang Zhao
DOI: 10.1007/s10618-021-00798-w
发表时间: 2021-09
期刊: Data Mining and Knowledge Discovery
影响因子: 4.8
作者: [Xiaosheng Li;Jessica Lin;Liang Zhao]
通讯作者: Xiaosheng Li;Jessica Lin;Liang Zhao
共 51 条
    I-Corps: An automatic training dataset labelling tool to fill the gap for missing training image datasets
    • 批准号:
      2335921
    • 项目类别:
      Standard Grant
    • 资助金额:
      $5.0万
    • 财政年份:
      2023
    • 负责人:
      Chaowei Yang
    • 依托单位:
    I-Corps: A spatiotemporal simulation system to predict COVID-19 case trajectories in schools
    • 批准号:
      2138914
    • 项目类别:
      Standard Grant
    • 资助金额:
      $5.0万
    • 财政年份:
      2021
    • 负责人:
      Chaowei Yang
    • 依托单位:
    Collaborative Research: RAPID: Building a Spatiotemporal Platform for Rapid Response to COVID-19
    • 批准号:
      2027521
    • 项目类别:
      Standard Grant
    • 资助金额:
      $10.0万
    • 财政年份:
      2020
    • 负责人:
      Chaowei Yang
    • 依托单位:
    Collaborative Research: Elements: Data: HDR: Developing On-Demand Service Module for Mining Geophysical Properties of Sea Ice from High Spatial Resolution Imagery
    • 批准号:
      1835507
    • 项目类别:
      Standard Grant
    • 资助金额:
      $24.93万
    • 财政年份:
      2019
    • 负责人:
      Chaowei Yang
    • 依托单位:
    国内基金
    海外基金
    基于生境成像与深度学习联合临床特征构建II型卵巢癌术前淋巴结转移预测模型的研究
    青蒿琥酯协同TROP2/线粒体级联靶向的NIR-II多模态诊疗用于晚期TNBC精准诊断与治疗的机制研究
    • 批准号:
      2026JJ30126
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      杨沙
    • 依托单位:
    鸡软骨非变性II型胶原高效制备和靶向递送的关键技术开发与应用示范
    苏合颗粒治疗慢性萎缩性胃炎的临床(II期)评价关键技术研究