Collaborative Research: CyberSEES:Type 2: Framework to Advance Climate, Economics, and Impact Investigations with Information Technology (FACE-IT)
合作研究:CyberSEES:类型 2:利用信息技术推进气候、经济和影响调查的框架 (FACE-IT)
基本信息
- 批准号:1331922
- 负责人:
- 金额:$ 84.78万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-10-01 至 2016-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Issues relating to climate change and food security require an understanding of the interaction between the natural world and human society over long time scales. Understanding climate change, its impacts on the natural world and society, and the tradeoffs inherent in societal responses demands an unprecedented degree of cooperation across academic fields. New data sources on expected future climate, soil characteristics, economic activity, historical weather, population, and land cover, provide a potential basis for this cooperation. New methods are needed for sharing within and across communities not only data but the software used to generate, synthesize, and analyze it. Progress on these research challenges is hindered by the extreme difficulties that researchers, collaborators and the community experience when they collaborate around data. Multiplicity of data formats, inadequate computational tools, difficulty in sharing data and programs, lack of incentives for pro-social behavior, and large data volumes are among the technology barriers. The FACE-IT project employs an integrated approach to cyberinfrastructure to advance the characterization of vulnerabilities, impacts, mitigation, and adaptation to climate change in human and environmental systems. Leveraging existing research cyberinfrastructure the project will create a full-featured FACE-IT Platform prototype with new capabilities for ingesting, organizing, managing, analyzing and using large quantities of diverse data. The project team will collaborate with two distinct interdisciplinary communities to create specific FACE-IT Instances that will both advance their research and enable at-scale evaluation of the utility of the FACE-IT approach.Many important and challenging problems facing humankind occur at the intersection of the social, physical, biological, and computational sciences. The proposed methods and approaches have general applicability for advancing the use of research information across diverse communities.
与气候变化和粮食安全有关的问题需要了解自然世界和人类社会之间长期的相互作用。 了解气候变化,其对自然世界和社会的影响,以及社会反应中固有的权衡,需要在学术领域进行前所未有的合作。关于预期未来气候、土壤特征、经济活动、历史天气、人口和土地覆盖的新数据来源为这种合作提供了潜在的基础。 需要新的方法来在社区内和社区之间共享数据以及用于生成、合成和分析数据的软件。研究人员、合作者和社区在围绕数据进行合作时遇到的极端困难阻碍了这些研究挑战的进展。数据格式的多样性、计算工具的不足、共享数据和程序的困难、缺乏对亲社会行为的激励以及大量数据都是技术障碍。 FACE-IT项目采用网络基础设施综合方法,以推进人类和环境系统对气候变化的脆弱性、影响、缓解和适应的表征。 利用现有的研究网络基础设施,该项目将创建一个功能齐全的FACE-IT平台原型,具有新的功能,用于整合,组织,管理,分析和使用大量不同的数据。 该项目团队将与两个不同的跨学科社区合作,创建特定的FACE-IT平台,这将推动他们的研究,并使FACE-IT方法的效用的规模评估。人类面临的许多重要和具有挑战性的问题发生在社会,物理,生物和计算科学的交叉点。所提出的方法和途径具有普遍适用性,以促进跨不同社区的研究信息的使用。
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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Ian Foster其他文献
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS
GreenFaaS:利用 FaaS 最大限度提高 HPC 工作负载的能源效率
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Alok V. Kamatar;Valerie Hayot;Y. Babuji;André Bauer;Gourav Rattihalli;Ninad Hogade;D. Milojicic;Kyle Chard;Ian Foster - 通讯作者:
Ian Foster
An optical microscopy system for 3 D dynamic imagingRandy
用于 3D 动态成像的光学显微镜系统Randy
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
R. Hudson;John N. Aarsvold;Chin;Jie Chen;Peter Davies;T. Disz;Ian Foster;Melvin Griem;Man K Kwong;B. Lin - 通讯作者:
B. Lin
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
DeepSpeed4Science 计划:通过复杂的人工智能系统技术实现大规模科学发现
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
S. Song;Bonnie Kruft;Minjia Zhang;Conglong Li;Shiyang Chen;Chengming Zhang;Masahiro Tanaka;Xiaoxia Wu;Jeff Rasley;A. A. Awan;Connor Holmes;Martin Cai;Adam Ghanem;Zhongzhu Zhou;Yuxiong He;Christopher Bishop;Max Welling;Tie;Christian Bodnar;Johannes Brandsetter;W. Bruinsma;Chan Cao;Yuan Chen;Peggy Dai;P. Garvan;Liang He;E. Heider;Pipi Hu;Peiran Jin;Fusong Ju;Yatao Li;Chang Liu;Renqian Luo;Qilong Meng;Frank Noé;Tao Qin;Janwei Zhu;Bin Shao;Yu Shi;Wen;Gregor Simm;Megan Stanley;Lixin Sun;Yue Wang;Tong Wang;Zun Wang;Lijun Wu;Yingce Xia;Leo Xia;Shufang Xie;Shuxin Zheng;Jianwei Zhu;Pete Luferenko;Divya Kumar;Jonathan Weyn;Ruixiong Zhang;Sylwester Klocek;V. Vragov;Mohammed Alquraishi;Gustaf Ahdritz;C. Floristean;Cristina Negri;R. Kotamarthi;V. Vishwanath;Arvind Ramanathan;Sam Foreman;Kyle Hippe;T. Arcomano;R. Maulik;Max Zvyagin;Alexander Brace;Bin Zhang;Cindy Orozco Bohorquez;Austin R. Clyde;B. Kale;Danilo Perez;Heng Ma;Carla M. Mann;Michael Irvin;J. G. Pauloski;Logan Ward;Valerie Hayot;M. Emani;Zhen Xie;Diangen Lin;Maulik Shukla;Thomas Gibbs;Ian Foster;James J. Davis;M. Papka;Thomas Brettin;Prasanna Balaprakash;Gina Tourassi;John P. Gounley;Heidi Hanson;T. Potok;Massimiliano Lupo Pasini;Kate Evans;Dan Lu;D. Lunga;Junqi Yin;Sajal Dash;Feiyi Wang;M. Shankar;Isaac Lyngaas;Xiao Wang;Guojing Cong;Peifeng Zhang;Ming Fan;Siyan Liu;A. Hoisie;Shinjae Yoo;Yihui Ren;William Tang;K. Felker;Alexey Svyatkovskiy;Hang Liu;Ashwin Aji;Angela Dalton;Michael Schulte;Karl Schulz;Yuntian Deng;Weili Nie;Josh Romero;Christian Dallago;Arash Vahdat;Chaowei Xiao;Anima Anandkumar;R. Stevens - 通讯作者:
R. Stevens
Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept
化学与材料科学低成本自动驾驶实验室综述:“节俭双胞胎”概念
- DOI:
10.1039/d3dd00223c - 发表时间:
2024-05-15 - 期刊:
- 影响因子:5.600
- 作者:
Stanley Lo;Sterling G. Baird;Joshua Schrier;Ben Blaiszik;Nessa Carson;Ian Foster;Andrés Aguilar-Granda;Sergei V. Kalinin;Benji Maruyama;Maria Politi;Helen Tran;Taylor D. Sparks;Alán Aspuru-Guzik - 通讯作者:
Alán Aspuru-Guzik
Exploring Benchmarks for Self-Driving Labs using Color Matching
使用颜色匹配探索自动驾驶实验室的基准
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Tobias Ginsburg;Kyle Hippe;Ryan Lewis;Aileen Cleary;D. Ozgulbas;Rory Butler;Casey Stone;Abraham Stroka;Rafael Vescovi;Ian Foster - 通讯作者:
Ian Foster
Ian Foster的其他文献
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{{ truncateString('Ian Foster', 18)}}的其他基金
Collaborative Research: NSF Workshop on Automated, Programmable and Self Driving Labs
合作研究:NSF 自动化、可编程和自动驾驶实验室研讨会
- 批准号:
2335910 - 财政年份:2023
- 资助金额:
$ 84.78万 - 项目类别:
Standard Grant
Frameworks: Garden: A FAIR Framework for Publishing and Applying AI Models for Translational Research in Science, Engineering, Education, and Industry
框架:Garden:用于发布和应用人工智能模型进行科学、工程、教育和工业转化研究的公平框架
- 批准号:
2209892 - 财政年份:2022
- 资助金额:
$ 84.78万 - 项目类别:
Standard Grant
Collaborative Research: OAC Core: ScaDL: New Approaches to Scaling Deep Learning for Science Applications on Supercomputers
协作研究:OAC 核心:ScaDL:在超级计算机上扩展深度学习科学应用的新方法
- 批准号:
2107511 - 财政年份:2021
- 资助金额:
$ 84.78万 - 项目类别:
Standard Grant
NSF Convergence Accelerator Track D: The Data Hypervisor: Orchestrating Data and Models
NSF 融合加速器轨道 D:数据管理程序:编排数据和模型
- 批准号:
2040718 - 财政年份:2020
- 资助金额:
$ 84.78万 - 项目类别:
Standard Grant
Collaborative Research: Frameworks: funcX: A Function Execution Service for Portability and Performance
协作研究:框架:funcX:可移植性和性能的函数执行服务
- 批准号:
2004894 - 财政年份:2020
- 资助金额:
$ 84.78万 - 项目类别:
Standard Grant
Virtual Data Set Services Enabling New Science at NSF Facilities
虚拟数据集服务在 NSF 设施中实现新科学
- 批准号:
1841531 - 财政年份:2018
- 资助金额:
$ 84.78万 - 项目类别:
Standard Grant
Framework: Software: HDR Globus Automate: A Distributed Research Automation Platform
框架:软件:HDR Globus Automate:分布式研究自动化平台
- 批准号:
1835890 - 财政年份:2018
- 资助金额:
$ 84.78万 - 项目类别:
Standard Grant
EAGER: Designing the OSN Software Platform
EAGER:设计 OSN 软件平台
- 批准号:
1836357 - 财政年份:2018
- 资助金额:
$ 84.78万 - 项目类别:
Standard Grant
BD Spokes: SPOKE: MIDWEST: Collaborative: Integrative Materials Design (IMaD): Leverage, Innovate, and Disseminate
BD 辐条:辐条:中西部:协作:集成材料设计 (IMaD):利用、创新和传播
- 批准号:
1636950 - 财政年份:2017
- 资助金额:
$ 84.78万 - 项目类别:
Standard Grant
Collaborative Research: Managing Cloud Usage Allocation and Accounting for the NSF Community
协作研究:管理 NSF 社区的云使用分配和核算
- 批准号:
1250555 - 财政年份:2012
- 资助金额:
$ 84.78万 - 项目类别:
Standard Grant
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- 批准号:10774081
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