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Collaborative Research: CDI-Type II: Scaling Up: Introducing Commoditized Governance into Community Earth Science Modeling

Collaborative Research: CDI-Type II: Scaling Up: Introducing Commoditized Governance into Community Earth Science Modeling
合作研究:CDI-II 型:扩大规模:将商品化治理引入社区地球科学模型
批准号:
0941386
负责人:
Paul Edwards
金额:
$82.45万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-02-01 至 2013-09-30

项目摘要

项目成果

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中文摘要
翻译
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。scale Up是一个研究和开发项目,它将使地球科学领域的虚拟组织能够扩展到大规模的跨学科“社区的社区”。一个关键因素是商品治理,它在网络基础设施中对治理的社会和技术方面进行编码,以创建能够以分散方式操作、聚合和协调的虚拟单元。这是一个深度整合的努力,综合了物理科学、计算机科学、政治科学、社会科学和软件工程方面的专业知识,提出了一种策略,用于管理大规模的地球科学建模合作,这些合作在技术上、科学上和社会上都很复杂。研究人员将对气候、天气和地表动力学三个相互关联的建模项目进行社会技术研究,并制定一个概念框架,以解决这些和类似建模领域中的虚拟组织的需求、结构和政策,作为商品治理实施的基础。商品治理单元将在网络基础设施项目的基础上实现,这些项目正在作为一种将建模活动表示为端到端工作流的手段出现,可以通过科学网关访问。这些单元将通过基础网络基础设施进行传播,并尽可能在目标建模项目中进行演示。它将在一个以大气动力核心相互比较为重点的试点项目中得到充分利用。商品化的治理元素,顾名思义,预计将适用于许多虚拟组织建模,包括空间天气、生态系统建模和融合等学科。合作的产品将与广泛使用的由地球系统网格和地球系统建模框架生成的网络基础设施产品合并和分发,并尽可能地引入几个大型虚拟组织。一个试点项目将展示协作引入的工具和概念的广泛使用,这将使研究生参与模型开发的示范过程——通过严格的协作测试对特定组件进行仔细、详尽的分析。商品治理本身旨在成为建模社区中强大的民主化力量,因为它通过鼓励对建模工件和透明、分散的决策制定过程的可访问性,降低了较小和边缘化群体的进入门槛。这项工作所关注的领域——气候、天气和地表过程的相互关系——是理解和解决有关气候变化影响的关键社会问题的关键。
英文摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Scaling Up is a program of research and development that will enable virtual organizations in the Earth sciences to scale to massive interdisciplinary "communities of communities." A key element is commodity governance, which encodes social and technical aspects of governance in cyberinfrastructure to create virtual units capable of operating, aggregating, and coordinating in a decentralized fashion. This is a deeply integrative effort that synthesizes expertise in the physical sciences, computer science, political science, social science, and software engineering to propose a strategy for governing large-scale Earth science modeling collaborations that are technically, scientifically, and socially complex. Investigators will conduct a sociotechnical study of three interlinked modeling projects in climate, weather, and surface dynamics, and formulate a conceptual framework that addresses the requirements, structures, and policies of virtual organizations in these and similar modeling domains as a basis for commodity governance implementation. Commodity governance units will be implemented on a base of cyberinfrastructure projects that are emerging as a means for expressing modeling activities as end-to-end workflows, accessible through science gateways. The units will be disseminated through the base cyberinfrastructure and demonstrated, to the extent possible, in the target modeling projects. It will be fully utilized in a pilot project focused on the intercomparison of atmospheric dynamical cores.The commoditized governance elements, as their name implies, are expected to be applicable to many modeling virtual organizations, including disciplines such as space weather, ecosystem modeling and fusion. Products of the collaboration will be incorporated into and distributed with the widely used cyberinfrastructure products generated by the Earth System Grid and Earth System Modeling Framework, and introduced to the extent possible into several large virtual organizations. A pilot project that will demonstrate extensive use of tools and concepts introduced by the collaboration will involve graduate students in exemplary processes for model development - the careful, exhaustive analysis of specific components through rigorous collaborative testing. Commodity governance itself is intended to be a powerful democratizing force in the modeling community, as it lowers barriers of entry for smaller and marginalized groups by encouraging accessibility to modeling artifacts and transparent, decentralized decision making processes. The domain in which the proposed work is focusing - the interrelationships of climate, weather, and surface processes - is a key to understanding and addressing critical societal questions about the effects of climate change.
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