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。全面了解时空维度的本质将有助于我们更好地应对 21 世纪及以后面临的挑战：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星球的影响，就像恐龙杀手一样，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，以及d）为我们未来的领导人提供时空思维能力和决策能力支持工具。 继乔治梅森大学、哈佛大学和加州大学圣塔芭芭拉分校合作开展的时空产学合作研究中心 (IUCRC) 第一阶段研究取得成功之后，该中心的第二阶段将继续推进以下任务：建设国家和国际时空基础设施； 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，以便与现有和未来的行业产品和服务轻松集成； 3）通过开发一套纳入K-16课程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。 将进行外展活动，以最大限度地发挥更广泛的影响：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) 通过出版物向行业和政府机构成员传播研究成果，以供采用并产生更广泛的影响。 3）与领先协会合作传播研究成果并招募新会员； 4）在现有学位课程内开发新的课程材料和课程并进行传播以供更广泛的采用； 5) 继续我们的多元化传统，将少数族裔和其他代表性不足的群体纳入该 STEM 领域； 6）将所有成果开源，以造福国内和国际相关领域。该中心将在官方网站（https://www.stcenter.net/）和通过官方网站访问的两个内容管理门户上发布所有信息。将利用项目管理网站来共享所有项目报告、工作文件、演示文稿、海报和出版物。产生的数据和研究成果将集成到该中心的运营社区云（http://sites.cloud.gmu.edu/sthcp/index.php）中，作为该中心的可持续资源进行维护，以实现长期可持续发展。该中心开发的源代码将通过 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智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Interpretable Molecule Generation via Disentanglement Learning

通过解缠结学习生成可解释的分子

• DOI: 10.1145/3388440.3414709
• 发表时间: 2020-09-21
• 期刊: Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
• 作者: Yuanqi Du;Xiaojie Guo;Amarda Shehu;Liang Zhao
• 通讯作者: Liang Zhao

Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder.

通过解释性变分自动编码器生成三级蛋白质结构。

• 发表时间: 2020-04
• 期刊: ArXivorg
• 作者: Guo, X;Tadepalli, S;Zhao, L;Shehu, A.
• 通讯作者: Shehu, A.

Node-Edge Co-disentangled Representation Learning for Attributed Graph Generation

用于属性图生成的节点-边缘联合解缠表示学习

• DOI: 10.1145/3394486.3403221
• 发表时间: 2020-01
• 期刊: International Conference on Knowledge Discovery and Data Mining (SIGKDD
• 作者: Guo, Xiaojie;Zhao, Liang;Qin, Zhao;Wu, Lingfei;Shehu, Amarda;Ye, Yanfang.
• 通讯作者: Ye, Yanfang.

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: 2023-02
• 期刊: Science of The Total Environment
• 影响因子: 9.8
• 作者: Yu, Manzhu;Masrur, Arif;Blaszczak
• 通讯作者: Blaszczak

Spatiotemporal Analysis of Sea Ice Leads in the Arctic Ocean Retrieved from IceBridge Laxon Line Data 2012–2018

从 2012 年至 2018 年冰桥 Laxon 线数据中检索的北冰洋海冰导时空分析

• DOI: 10.3390/rs13204177
• 发表时间: 2021-10
• 期刊: Remote Sensing
• 影响因子: 5
• 作者: Sha, Dexuan;Koo, Younghyun;Miao, Xin;Srirenganathan, Anusha;Lan, Hai;Biswas, Shorojit;Liu, Qian;Mestas;Xie, Hongjie;Yang, Chaowei
• 通讯作者: Yang, Chaowei