Virtual Organization for Computing Research in Pandemic Preparedness and Resilience
流行病防范和恢复力计算研究虚拟组织
基本信息
- 批准号:2041952
- 负责人:
- 金额:$ 144.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-10-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This Virtual Organization (VO) will facilitate communication and collaboration among CISE scientists currently involved in pandemic research through the NSF RAPID program. With the guidance of a Steering Committee composed of members from industry, academia, and government agencies, the VO will encourage the sharing of research results in a way not available without a concerted effort. The depth and breadth of multi-disciplinary collaboration enabled by this VO will be extended to include researchers, educators, and students interested in general topics related to pandemic planning and resilience. Utilizing a variety of dissemination platforms, the VO will harness the synergies of the CISE RAPID research programs to facilitate scientific advances and advance public health in the US and around the world.The VO will: (i) facilitate the collection of a comprehensive collection of data sets, software tools, and documentation that can be shared by the research community; (ii) identification of new research efforts resulting from the cross fertilization of ideas from various subdisciplines of CISE research; (iii) a research roadmap that proposes research directions in CISE sciences that can lead to effective methods to prepare for and recover from future pandemics; and (iv) training and other pedagogic materials needed for educating future generations of scientists in topics related to pandemic preparedness, recovery, and resilience. The increased levels of collaboration fostered by this VO have the potential to result in innovative computational methods and technologies for dealing with future pandemics. The research roadmap will include identification of key research topics, risks, and gaps in the current R&D landscape that will significantly benefit the research community and serve as the blueprint for researchers, funding agencies, and policy makers on the role of information and communication technologies (ICT) in developing break-through solutions for pandemic resilience. While it is not possible to prevent pandemics completely, developing resilience techniques will enable society to prepare for and cope with the aftermath in a more effective manner.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.
这个虚拟组织(VO)将促进目前通过NSF快速计划参与大流行研究的CEISE科学家之间的交流和合作。在一个由产业界、学术界和政府机构成员组成的指导委员会的指导下,VO将鼓励以一种没有协调努力的方式分享研究成果。该VO实现的多学科合作的深度和广度将扩展到包括研究人员、教育工作者和对与大流行规划和抗灾能力相关的一般主题感兴趣的学生。VO将利用各种传播平台,利用CISE快速研究计划的协同效应,以促进美国和世界各地的科学进步和促进公共卫生。VO将:(I)促进收集可供研究界共享的数据集、软件工具和文件的全面收集;(Ii)确定由于CISE研究各分支学科的思想交叉而产生的新的研究成果;(Iii)提出CISE科学的研究方向的研究路线图,从而为未来的流行病提供有效的准备和恢复方法;以及(Iv)培训和其他教育材料,用于教育未来几代科学家有关大流行防备、恢复和复原力的主题。这一VO促进的合作水平的提高有可能导致应对未来流行病的创新计算方法和技术。研究路线图将包括确定当前研发环境中的关键研究主题、风险和差距,这些主题、风险和差距将使研究界大大受益,并成为研究人员、资助机构和政策制定者关于信息和通信技术(ICT)在开发应对大流行的突破性解决方案方面的作用的蓝图。虽然不可能完全预防流行病,但发展复原力技术将使社会能够以更有效的方式准备和应对后果。该奖项反映了NSF的法定使命,并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,被认为值得支持。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Understanding the coevolution of mask wearing and epidemics: A network perspective.
- DOI:10.1073/pnas.2123355119
- 发表时间:2022-06-28
- 期刊:
- 影响因子:11.1
- 作者:
- 通讯作者:
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
- DOI:10.1109/bigdata50022.2020.9377904
- 发表时间:2020-10
- 期刊:
- 影响因子:0
- 作者:Lijing Wang;A. Adiga;S. Venkatramanan;Jiangzhuo Chen;B. Lewis;M. Marathe
- 通讯作者:Lijing Wang;A. Adiga;S. Venkatramanan;Jiangzhuo Chen;B. Lewis;M. Marathe
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Madhav Marathe其他文献
Madhav Marathe的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Madhav Marathe', 18)}}的其他基金
Collaborative Research: IHBEM: Data-driven multimodal methods for behavior-based epidemiological modeling
合作研究:IHBEM:基于行为的流行病学建模的数据驱动多模式方法
- 批准号:
2327710 - 财政年份:2023
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
RAPID: Modeling and Analytics for COVID-19 Outbreak Response in India: A multi-institutional, US-India joint collaborative effort
RAPID:印度 COVID-19 疫情应对的建模和分析:美印多机构联合协作
- 批准号:
2142997 - 财政年份:2021
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology
探险:合作研究:全球普适计算流行病学
- 批准号:
1918656 - 财政年份:2020
- 资助金额:
$ 144.44万 - 项目类别:
Continuing Grant
RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks
RAPID:COVID-19 响应支持:构建综合多尺度网络
- 批准号:
2027541 - 财政年份:2020
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
RAPID: Collaborative: Transfer Learning Techniques for Better Response to COVID-19 in the US
RAPID:协作:迁移学习技术以更好地应对美国的 COVID-19
- 批准号:
2028004 - 财政年份:2020
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
EAGER: SSDIM: Ensembles of Interdependent Critical Infrastructure Networks
EAGER:SSDIM:相互依赖的关键基础设施网络的集合
- 批准号:
1927791 - 财政年份:2019
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
Collaborative Research: Framework: Software: CINES: A Scalable Cyberinfrastructure for Sustained Innovation in Network Engineering and Science
合作研究:框架:软件:CINES:用于网络工程和科学持续创新的可扩展网络基础设施
- 批准号:
1835660 - 财政年份:2018
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
Collaborative Research: Framework: Software: CINES: A Scalable Cyberinfrastructure for Sustained Innovation in Network Engineering and Science
合作研究:框架:软件:CINES:用于网络工程和科学持续创新的可扩展网络基础设施
- 批准号:
1916805 - 财政年份:2018
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
EAGER: SSDIM: Ensembles of Interdependent Critical Infrastructure Networks
EAGER:SSDIM:相互依赖的关键基础设施网络的集合
- 批准号:
1745207 - 财政年份:2017
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
NetSE: Large: Collaborative Research: Contagion in large socio-communication networks
NetSE:大型:协作研究:大型社会通信网络中的传染
- 批准号:
1011769 - 财政年份:2010
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
相似海外基金
ADVANCE Partnership: Advancing Gender Equity in Computing and Engineering Academic Professions through Multi-Organization Collaboration
ADVANCE 合作伙伴关系:通过多组织合作促进计算和工程学术专业的性别平等
- 批准号:
2204380 - 财政年份:2022
- 资助金额:
$ 144.44万 - 项目类别:
Continuing Grant
II-New: Infrastructure for THz Computing and Signal Processing Organization
II-新:太赫兹计算和信号处理组织的基础设施
- 批准号:
1727610 - 财政年份:2017
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
Collaborative Research: HECURA: A New Semantic-Aware Metadata Organization for Improved File-System Performance and Functionality in High-End Computing
合作研究:HECURA:一种新的语义感知元数据组织,可提高高端计算中的文件系统性能和功能
- 批准号:
0937993 - 财政年份:2009
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
Collaborative Research: HECURA: A New Semantic-Aware Metadata Organization for Improved File-System Performance and Functionality in High-End Computing
合作研究:HECURA:一种新的语义感知元数据组织,可提高高端计算中的文件系统性能和功能
- 批准号:
0937988 - 财政年份:2009
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
CSR --- EHS: The Design and Self-Organization of Component-based Systems for Dependable and Predictable Embedded Computing Environments
CSR --- EHS:基于组件的系统的设计和自组织,用于可靠和可预测的嵌入式计算环境
- 批准号:
0720464 - 财政年份:2007
- 资助金额:
$ 144.44万 - 项目类别:
Standard Grant
Computing perceptual organization for genetic object recognition, hybrid approach for concept-based knowledge discovery from large text databases, portable data warehousing
用于遗传对象识别的计算感知组织、从大型文本数据库中发现基于概念的知识的混合方法、便携式数据仓库
- 批准号:
155518-2004 - 财政年份:2004
- 资助金额:
$ 144.44万 - 项目类别:
Discovery Grants Program - Individual
Computing perceptual organization
计算感知组织
- 批准号:
155518-2000 - 财政年份:2003
- 资助金额:
$ 144.44万 - 项目类别:
Discovery Grants Program - Individual
Computing perceptual organization
计算感知组织
- 批准号:
155518-2000 - 财政年份:2002
- 资助金额:
$ 144.44万 - 项目类别:
Discovery Grants Program - Individual
Computing perceptual organization
计算感知组织
- 批准号:
155518-2000 - 财政年份:2001
- 资助金额:
$ 144.44万 - 项目类别:
Discovery Grants Program - Individual
Computing perceptual organization
计算感知组织
- 批准号:
155518-2000 - 财政年份:2000
- 资助金额:
$ 144.44万 - 项目类别:
Discovery Grants Program - Individual














{{item.name}}会员




