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: 1331782
• 负责人: Gerrit Hoogenboom
• 金额: $ 30.27万
• 依托单位: University of Florida
• 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=1331782&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了解自然世界与人类社会在长期范围内的相互作用。 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跨学术领域进行前所未有的合作。有关预期未来气候、土壤特征、经济活动、历史天气、人口和土地覆盖的新数据源为这种合作提供了潜在的基础。 社区内部和社区之间不仅需要共享数据，还需要新的方法来共享用于生成、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协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、数据和程序共享的困难、亲社会行为缺乏激励以及数据量大都是技术障碍。 FACE-IT 项目采用网络基础设施综合方法来推进人类和环境系统的脆弱性、影响、缓解和适应气候变化的特征描述。 该项目将利用现有的研究网络基础设施创建一个功能齐全的 FACE-IT 平台原型，具有摄取、组织、管理、分析和使用大量不同数据的新功能。 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 实例，这既可以推进他们的研究，也可以对 FACE-IT 方法的实用性进行大规模评估。人类面临的许多重要且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领域。所提出的方法和途径对于促进不同社区的研究信息的使用具有普遍适用性。