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HDR Institute: Geospatial Understanding through an Integrative Discovery Environment

HDR Institute: Geospatial Understanding through an Integrative Discovery Environment
HDR 研究所:通过综合发现环境了解地理空间
批准号:
2118329
负责人:
Shaowen Wang
金额:
$1500.0万
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:
未结题
起止时间:
2021-10-01 至 2026-09-30

项目摘要

项目成果

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中文摘要
翻译
该项目通过综合发现环境建立了地理空间理解研究所(I-GUIDE)。在当今相互关联的世界中,水灾和旱灾等灾害很少是孤立事件,其连锁影响往往远远超出其起源地。I-GUIDE创建了一个综合的发现环境,能够利用地理空间数据了解不同的社会经济-环境系统之间相互关联的相互作用,以增强社区的复原力和环境的可持续性。I-GUIDE通过弥合学科数字数据鸿沟,并通过训练有素和多样化的劳动力队伍以及少数群体和代表性不足群体的积极参与,扩大了更广泛的影响,从而培育了一个跨许多学科的多样化和包容性的地理空间发现社区。该项目利用与其代表学术、政府和工业机构的不同成员和合作伙伴组织的现有合作,从而将其覆盖范围扩展到美国和全球。I-GUIDE的新知识前沿的影响影响着现实世界问题的解决方案和地理空间决策,其意义从国家经济发展到安全。I-GUIDE加强了与博物馆和非正式科学教育界以及图书馆和新闻媒体的关系,以提高公众对地理空间数据革命对社会的贡献的认识。全球化加剧并扩大了远距离社会经济-环境相互作用的影响,这一过程被称为远程耦合。I-GUIDE的综合发现环境对于转变专注于地理空间综合的创新理论、概念、方法和工具至关重要,这些创新理论、概念、方法和工具推动了解决如何利用地理空间数据进行多尺度和远程耦合发现的科学问题的新能力,以提高社区的复原力和环境可持续性。讨论了两个实质性和趋同的科学问题:(1)水安全,以评估与环境和基础设施可持续性有关的极端水文气候的地理空间和社会经济影响;(2)生物多样性和粮食安全,以加强对面对近处和远方灾害、全球变化、国际贸易和土地利用动态变化时生物多样性动态的基本了解。通过解决这些相互关联的问题而获得的变革性的地理空间理解,将转化为数字资源和工具,通过开放的i-Guide平台在线提供,供各种教育和培训活动使用,以服务于广泛和多样化的受众。通过这个平台,下一代劳动力可以获得地理空间知识,并结合数据驱动的技术技能进行决策和解决问题的体验。该项目是国家科学基金会利用数据革命(HDR)的大创意活动的一部分。高级网络基础设施办公室的奖项由社会、行为和经济科学局的行为和认知科学司、社会、行为和经济科学局的多学科活动办公室、地球科学局的地球科学司、数学和物理科学局的数学科学司以及计算机和信息科学与工程局的信息和智能系统司共同支持。该奖项反映了NSF的法定使命,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,认为值得支持。
英文摘要
This project establishes the Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE). In today’s interconnected world, disasters such as floods and droughts are rarely isolated events, and their cascading effects are often felt far beyond their locations of origin. I-GUIDE creates an integrative discovery environment that enables the harnessing of geospatial data for understanding interconnected interactions across diverse socioeconomic-environmental systems to enhance community resilience and environmental sustainability. I-GUIDE nurtures a diverse and inclusive geospatial discovery community across many disciplines by bridging disciplinary digital data divides with broader impacts amplified through a well-trained and diverse workforce and proactive engagement of minority and underrepresented groups. The project leverages existing collaborations with its diverse member and partner organizations, representing academic, governmental, and industrial institutions, thereby extending its reach across the U.S. and the globe. The influence of I-GUIDE’s new knowledge frontiers impact solutions to real-world problems and geospatial decisions, with significance ranging from the nation’s economic development to security. I-GUIDE builds upon relationships with the museum and informal science education communities as well as libraries and news media to raise public awareness about the contributions of the geospatial data revolution to society. Globalization has intensified and extended the impacts of socioeconomic-environmental interactions across long distances, a process known as telecoupling. I-GUIDE’s integrative discovery environment is vital to transform innovative theories, concepts, methods, and tools focusing geospatial synthesis that drive novel capabilities for addressing scientific questions of how to harness geospatial data for multi-scale and telecoupling discoveries to enhance community resilience and environmental sustainability. Two substantive and convergent scientific problems are addressed: (1) Water security, to evaluate geospatial and socioeconomic impacts of hydroclimatic extremes that are related to environmental and infrastructure sustainability, and (2) Biodiversity and food security, to enhance basic understanding of biodiversity dynamics in the face of nearby and distant disasters, global changes, international trade, and dynamic land use transitions. Transformative geospatial understanding gained from solving these interrelated problems are translated into digital resources and tools made available online through an open I-GUIDE platform for a variety of educational and training activities to serve a broad and diverse audience. Through this platform, the next-generation workforce can acquire geospatial knowledge coupled with data-driven technological skills for decision-making and problem-solving experiences. This project is part of the National Science Foundation's Big Idea activities in Harnessing the Data Revolution (HDR). The award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Behavioral and Cognitive Sciences, the Division of Social and Economic Sciences, and the Office of Multidisciplinary Activities within the Directorate for Social, Behavioral and Economic Sciences; the Division of Earth Sciences within the Directorate for Geosciences; the Division of Mathematical Sciences within the Directorate for Mathematical and Physical Sciences, and by the Division of Information and Intelligent Systems within the Directorate for Computer and Information Science and Engineering.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(18)
专著(0)
科研奖励(0)
会议论文
The Value of Water in US Agriculture: integrating spatially and temporally heterogeneous hydroclimatic and economic data
水在美国农业中的价值:整合时空异质水文气候和经济数据
DOI: 10.13019/9mxe-t280
发表时间: 2023
期刊: MyGeoHUB
影响因子: --
作者: [Haqiqi, Iman]
通讯作者: Haqiqi, Iman
CyberGIS-Cloud: A unified middleware framework for cloud-based geospatial research and education
Cyber​​GIS-Cloud:用于基于云的地理空间研究和教育的统一中间件框架
DOI: 10.1145/3491418.3535148
发表时间: 2022
期刊: PEARC '22: Practice and Experience in Advanced Research Computing
影响因子: --
作者: [Baig, Furqan, Michels, Alexander, Xiao, Zimo, Han, Su Yeon, Padmanabhan, Anand, Li, Zhiyu, Wang, Shaowen]
通讯作者: Wang, Shaowen
On constructing limits-of-acceptability in watershed hydrology using decision trees
利用决策树构建流域水文学的可接受限度
DOI: 10.1016/j.advwatres.2023.104486
发表时间: 2023
期刊: Advances in Water Resources
影响因子: 4.7
作者: [Gupta, Abhinav, Govindaraju, Rao S., Li, Pin-Ching, Merwade, Venkatesh]
通讯作者: Merwade, Venkatesh
DOI: 10.1145/3534678.3539443
发表时间: 2022-06
期刊: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
影响因子: --
作者: [Jiaxin Huang;Yu Meng;Jiawei Han]
通讯作者: Jiaxin Huang;Yu Meng;Jiawei Han
共 14 条
    Collaborative Research: CyberTraining: Implementation: Small: Broadening Adoption of Cyberinfrastructure and Research Workforce Development for Disaster Management
    SI2-S2I2 Conceptualization: Geospatial Software Institute
    Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis
    CyberGIS Curriculum Workshop for Synthesizing Education Materials
    海外基金