Collaborative Research: CyberSEES:Type 2: Framework to Advance Climate, Economics, and Impact Investigations with Information Technology (FACE-IT)

合作研究：Cyber​​SEES：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)

• 批准号: 1331922
• 负责人: Ian Foster
• 金额: $ 84.78万
• 依托单位: University of Chicago
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1331922&HistoricalAwards=false
• 关键词: Collaborative; Research; CyberSEES; Type; Framework

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在长期范围内了解自然世界与人类社会之间的相互作用。 了解气候变化，对自然界和社会的影响以及社会反应固有的权衡要求在学术领域的空前合作程度。关于预期的未来气候，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。 在社区内部和跨社区内共享需要新的方法，而且还需要用于生成，合成和分析的软件。 研究人员，合作者和社区经验在数据围绕数据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，计算工具不足，共享数据和程序的困难，缺乏亲社会行为的激励措施以及大量数据量是技术障碍。 Face-IT项目采用综合方法来解决网络基础设施，以推动人类和环境系统中气候变化的脆弱性，影响，缓解和适应性的特征。 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面部平台原型，并具有新的功能，可摄入，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，创建特定的面对面实例，既可以提高他们的研究，又可以对面对面方法的效用进行尺度评估。人类面临的许多重要而挑战性的问题发生在社会，物理，生物学和计算科学的交汇处。所提出的方法和方法具有一般适用于推进各种社区的研究信息的使用。