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: $ 75万
• 依托单位: George Mason University
• 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
• 起止时间: 2019-03-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1841520&HistoricalAwards=false
• 关键词: Phase; II; UCRC; George; Mason

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.

我们生活在一个具有三个空间维度和一个时间维度的四维世界中。了解时空维度的性质融合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：具有时空思维能力和决策支持工具的未来领导者。 在第一阶段时空行业 - 大学合作研究中心（IUCRC）的成功之后，作为乔治·梅森，哈佛大学和加利福尼亚 - 圣塔芭芭拉分校之间的合作，该中心的第二阶段将继续前进至1）建立国家和国际时空基础设施； 2）开发行业和代理商成员，新的时空技术，解决方案，工具和软件，这些技术，工具和软件将很容易与现有和未来的行业产品和服务集成； 3）通过开发K-16课程中内置的一系列时空思维方法来改善人类智能； 4）提高人类在应对宏伟的科学和工程挑战方面的能力。 宣传将是为了最大程度地发挥更大的影响：1）每年与四个以上活跃成员密切合作，以开发相关的方法和技术； 2）将研究结果传播给行业和政府机构成员，以及通过发表的收养和更广泛的影响。 3）与领先的协会合作以广播研究结果并招募新成员； 4）在现有学位课程中开发新的课程材料和课程，并广播以更广泛的采用； 5）继续我们的多种传统，包括少数民族和其他代表性不足的群体； 6）使所有结果开源，以在国内和国际上受益。该中心将在官方网站（https://www.stcenter.net/）上发布所有信息，并通过官方网站访问两个内容管理门户。项目管理网站将用于分享所有项目报告，工作论文，演示文稿，海报和出版物。所产生的数据和研究结果将集成到该中心的运营社区云（http://sites.cloud.gmu.edu/sthcp/index.php）中，以作为长期可持续性中心的可持续资源。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的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评论标准来评估值得支持的。

项目成果

Time series clustering in linear time complexity

• 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

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

Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework

• DOI: 10.1109/icdm50108.2020.00068
• 发表时间: 2020-09
• 期刊: 2020 IEEE International Conference on Data Mining (ICDM)
• 作者: Junxiang Wang;Zheng Chai;Yue Cheng;Liang Zhao

Interpretable Molecule Generation via Disentanglement Learning

• DOI: 10.1145/3388440.3414709
• 发表时间: 2020-01-01
• 期刊: ACM-BCB 2020 - 11TH ACM CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY, AND HEALTH INFORMATICS
• 作者: Du, Yuanqi;Guo, Xiaojie;Zhao, Liang
• 通讯作者: Zhao, Liang

Big Spatiotemporal Data Analytics: a research and innovation frontier

• DOI: 10.1080/13658816.2019.1698743
• 发表时间: 2019-12-04
• 期刊: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
• 影响因子: 5.7
• 作者: Yang, Chaowei;Clarke, Keith;Tao, C. Vincent
• 通讯作者: Tao, C. Vincent