CI-TEAM: Coastal and Estuarine Science Cyberinfrastructure: Training and Deployment
CI-TEAM:沿海和河口科学网络基础设施:培训和部署
基本信息
- 批准号:0537455
- 负责人:
- 金额:$ 25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-12-01 至 2009-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objectives of this project are to educate and train the coastal and estuarine science (CES) and engineering communities on the use and development of cyberinfrastructure (CI) that incorporates Grid computing and Web-based portal techniques for the use of simulation tools. As a cornerstone of this effort, a Grid-enabled application, CH3D-GTM, which applies the robust shallow water estuarine model CH3D to the GuanaTolomato Matanzas (GTM) National Estuarine Research Reserve (NERR), is used to demonstrate and teach CI concepts to a diverse audience. At the GTM Environmental Education Center, personnel and student fellows are trained, and educational programs are developed to reach K-20 students, teachers and the general public. At the State of Florida's St. Johns River Water Management District (SJRWMD), scientists and engineers are trained on how to deploy models using the CH3D-GTM application as a tutorial. At the University of Florida in Gainesville (UF), faculty and students develop curriculum content based on Grid middleware to teach students how to use, support, deploy, develop and design the CH3D-GTM application and similar simulation models. This project focuses on workforce development for current scientists and engineers, as well as for future practitioners. In the short term, NERR educators and student fellows and SJRWMD engineers and researchers are being trained, and at least three graduate engineering courses at UF are being enhanced. The long-term goal is to make a significant contribution towards a national CI for science, government and public use. The improved simulation capabilities could then translate into improved ecosystem-based water quality and resource management, emergency preparedness and response, and planned development for these heavily populated and vulnerable regions. While focused on the CES community, the training methods, materials and software are conceived such that they can be generalized to other application domains and reused in other regions of the country. Outreach activities further broaden the scope of this project by bringing basic CES and CI concepts to K-20 teachers and students that routinely visit the GTM in field trips. This activity builds upon a Web-accessible CES application portal - an on-line, interactive resource for outreach at the GTM, and an educational resource with CI-based simulation experiments that are made publicly available to CES and CI educators at other universities. Through feedback from surveys and assessments conducted in the training and outreach activities, this demonstration provides key insights on how CI educators can better tailor teaching to diverse audiences.
该项目的目标是教育和培训沿海和河口科学(CES)和工程界如何使用和发展网络基础设施(CI),这种基础设施结合了网格计算和使用模拟工具的基于网络的门户技术。作为这项工作的基石,启用网格的应用程序CH3D-GTM将健壮的浅水河口模型CH3D应用于瓜纳托洛马坦萨斯(GTM)国家河口研究保护区(NERR),用于向不同的受众演示和教授CI概念。在GTM环境教育中心,培训人员和学生研究员,并开发教育计划,以接触到K-20学生、教师和普通公众。在佛罗里达州圣约翰河水管理区(SJRWMD),科学家和工程师接受了如何使用CH3D-GTM应用程序作为教程来部署模型的培训。在盖恩斯维尔的佛罗里达大学(UF),教职员工和学生开发基于网格中间件的课程内容,教会学生如何使用、支持、部署、开发和设计CH3D-GTM应用程序和类似的模拟模型。该项目侧重于当前科学家和工程师以及未来从业者的劳动力发展。短期内,NERR教育工作者和学生研究员以及SJRWMD工程师和研究人员正在接受培训,密歇根大学至少有三门工程学研究生课程正在得到加强。长期目标是为科学、政府和公众使用的国家传播与信息做出重大贡献。然后,改进的模拟能力可以转化为改善基于生态系统的水质量和资源管理、应急准备和反应,以及这些人口稠密和脆弱地区的有计划的发展。虽然侧重于CES社区,但培训方法、材料和软件的构思使其可以推广到其他应用领域,并在该国其他地区重复使用。外联活动进一步扩大了这一项目的范围,将基本的CES和CI概念带给经常在实地考察中访问GTM的K-20级教师和学生。这项活动建立在可通过网络访问的CES应用门户网站的基础上,这是一个在线的互动资源,用于GTM的外联活动,以及一个教育资源,其中包括向其他大学的CES和CI教育工作者公开提供的基于CI的模拟实验。通过在培训和外展活动中进行的调查和评估的反馈,本演示提供了关于传播与信息教育工作者如何更好地为不同受众量身定做教学的关键见解。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Renato Figueiredo其他文献
On the Performance and Cost of Cloud-Assisted Multi-Path Bulk Data Transfer
云辅助多路径批量数据传输的性能和成本
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Kyuho Jeong;Renato Figueiredo;Kohei Ichikawa - 通讯作者:
Kohei Ichikawa
Extending PRAGMA-ENT for End Users using IPOP Overlay Networks
使用 IPOP 覆盖网络为最终用户扩展 PRAGMA-ENT
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Kyuho Jeong;Renato Figueiredo;Kohei Ichikawa - 通讯作者:
Kohei Ichikawa
A Pipeline for Deep Learning with Specimen Images in iDigBio - Applying and Generalizing an Examination of Mercury Use in Preparing Herbarium Specimens
iDigBio 中标本图像深度学习的流程 - 应用和推广汞在制备植物标本室标本中的使用检查
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Matthew Collins;G. Yeole;P. Frandsen;Rebecca B. Dikow;Sylvia S. Orli;Renato Figueiredo - 通讯作者:
Renato Figueiredo
Investigating the Performance and Scalability of Kubernetes on Distributed Cluster of Resource-Constrained Edge Devices
研究 Kubernetes 在资源受限边缘设备分布式集群上的性能和可扩展性
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Vahid Daneshmand;Renato Figueiredo;Kohei Ichikawa;Keichi Takahashi;Kundjanasith Thonglek and Kensworth Subratie - 通讯作者:
Kundjanasith Thonglek and Kensworth Subratie
保育者は保育カンファレンスを行うことで何を学ぶのか?ー質的研究のメタ統合の試みからー
托儿工作者通过举办托儿会议学到了什么?
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Kyuho Jeong;Renato Figueiredo;Kohei Ichikawa;上田敏丈 - 通讯作者:
上田敏丈
Renato Figueiredo的其他文献
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{{ truncateString('Renato Figueiredo', 18)}}的其他基金
Collaborative Research: URoL:ASC: Applying rules of life to forecast emergent behavior of phytoplankton and advance water quality management
合作研究:URoL:ASC:应用生命规则预测浮游植物的紧急行为并推进水质管理
- 批准号:
2318862 - 财政年份:2023
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: Elements: FaaSr: Enabling Cloud-native Event-driven Function-as-a-Service Computing Workflows in R
协作研究:要素:FaaSr:在 R 中启用云原生事件驱动的函数即服务计算工作流程
- 批准号:
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I-Corps: Software-Defined Overlay Virtual Private Network for Edge Computing
I-Corps:用于边缘计算的软件定义的覆盖虚拟专用网络
- 批准号:
2134548 - 财政年份:2021
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SaTC:核心:小:GOALI:根据社会影响线索和用户特征预测和标记电子邮件网络钓鱼。
- 批准号:
2028734 - 财政年份:2020
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$ 25万 - 项目类别:
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协作研究:要素:EdgeVPN:用于边缘和雾计算的无缝安全虚拟网络
- 批准号:
2004441 - 财政年份:2020
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$ 25万 - 项目类别:
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Collaborative Research: CIBR: Cyberinfrastructure Enabling End-to-End Workflows for Aquatic Ecosystem Forecasting
合作研究:CIBR:网络基础设施支持水生生态系统预测的端到端工作流程
- 批准号:
1933102 - 财政年份:2020
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
SaTC: CORE: Medium: Collaborative: REVELARE: A Hardware-Supported Dynamic Information Flow Tracking Framework for IoT Security and Forensics
SaTC:核心:媒介:协作:REVELARE:用于物联网安全和取证的硬件支持的动态信息流跟踪框架
- 批准号:
1801599 - 财政年份:2018
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
SaTC: CORE: Small: FIRMA: Personalized Cross-Layer Continuous Authentication
SaTC:核心:小型:FIRMA:个性化跨层连续身份验证
- 批准号:
1814557 - 财政年份:2018
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
NeTS: Small: PerSoNet: Overlay Virtual Private Networks Spanning Personal Clouds and Social Peers
NetS:小型:PerSoNet:跨越个人云和社交对等的覆盖虚拟专用网络
- 批准号:
1527415 - 财政年份:2015
- 资助金额:
$ 25万 - 项目类别:
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SHF:小型:协作研究:通过新兴技术集成探索节能 GPGPU
- 批准号:
1320100 - 财政年份:2013
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
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