II-EN: Computing research infrastructure for constraint optimization, machine learning, and dynamical models for computational sustainability

II-EN：用于约束优化、机器学习和计算可持续性动态模型的计算研究基础设施

• 批准号: 1059284
• 负责人: Carla Gomes
• 金额: $ 37.8万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1059284&HistoricalAwards=false
• 关键词: II; EN; Computing; research; infrastructure

II-EN: Computing research infrastructure for constraint optimization, machine learning, and dynamical models for Computational SustainabilityHigh performance computing infrastructure will be acquired to support the research, outreach, and educational activities of researchers engaged by the Institute for Computational Sustainability (ICS) in a number of research projects which have significant computational needs. Computational sustainability is a new interdisciplinary field that aims to apply techniques from computer science, applied mathematics and related disciplines to help the balancing of environmental, economic, and societal needs for sustainable development. Computational sustainability research brings together computational sciences and a variety of other disciplines to focus on developing computational models, methods, and tools for supporting the design of sustainable policies, practices, products, and tools. ICS has established a number of significant research projects in areas ranging from biodiversity conservation, to natural resource management, poverty mapping, and material discovery for fuel cell technology. Computational sustainability research is already leading to foundational contributions in several areas of Computer Science. Computational Sustainability presents decision and optimization problems with a mixture of continuous and discrete variables in highly dynamic and uncertain environments, pushing the boundaries of the current state-of-the art of computer science. ICS research focuses on integrating techniques from constraint reasoning, optimization, dynamical systems, machine learning, and data mining, in order to obtain effective dynamic decision theoretic models to address sustainability problems. The computing infrastructure requested would allow ICS researchers including 21 faculty, 53 students (including 24 undergraduates), and over a 100 collaborators to scale up their work to larger problems than they would have been otherwise be able to solve. ICS research has direct impacts on policy makers and practitioners engaged in sustainability work. For example, working in collaboration with the Laboratory of Ornithology at Cornell, ICS researchers have provided computational analysis for the U.S. Department of the Interior's 2011 State of the Birds report. In collaboration with the U.S. Forest Service, ICS research is improving the design of wildlife corridors for species such as grizzly bears, wolverines, and lynx. ICS is working with The Conservation Fund to develop conservation plans that will be used by government and conservation agencies. In collaboration with the Cornell Fuel Cell Institute, ICS members are developing automated tools to support the discovery of new materials for fuel cell technology. ICS is also building a vibrant computational sustainability research community through conferences, workshops, lectures, and online discussions. Combined with ICS education and outreach activities, these research efforts promote teaching, training, and the advancement of women and underrepresented minorities in computer science. Additional information regarding the ICS and its efforts to meet the critical societal, environmental, and economic needs for knowledge, methods, and tools that advance computational sustainability efforts can be found at the ICS website: www.cis.cornell.edu/ics

II-EN：计算研究基础设施的约束优化，机器学习和动态模型计算可持续性高性能计算基础设施将被收购，以支持研究，推广和教育活动的研究人员从事计算可持续性研究所（ICS）在一些研究项目有显着的计算需求。计算可持续性是一个新的跨学科领域，旨在应用计算机科学，应用数学和相关学科的技术，以帮助平衡环境，经济和社会的可持续发展需求。计算可持续性研究汇集了计算科学和各种其他学科，专注于开发计算模型，方法和工具，以支持可持续政策，实践，产品和工具的设计。科技中心在生物多样性保护、自然资源管理、贫困绘图和燃料电池技术材料发现等领域建立了一些重要的研究项目。计算可持续性研究已经在计算机科学的几个领域做出了基础性贡献。计算可持续性提出了在高度动态和不确定的环境中混合连续和离散变量的决策和优化问题，推动了当前计算机科学领域的边界。ICS的研究重点是从约束推理，优化，动态系统，机器学习和数据挖掘集成技术，以获得有效的动态决策理论模型，以解决可持续发展问题。要求的计算基础设施将允许ICS研究人员，包括21名教师，53名学生（包括24名本科生）和100多名合作者，将他们的工作扩展到比他们能够解决的更大的问题。科技中心的研究对从事可持续性工作的决策者和从业人员有直接影响。例如，ICS研究人员与康奈尔大学鸟类学实验室合作，为美国内政部2011年鸟类状况报告提供了计算分析。ICS的研究与美国林务局合作，正在改善灰熊、狼獾和山猫等物种的野生动物走廊设计。ICS正在与保护基金合作制定保护计划，供政府和保护机构使用。在与康奈尔燃料电池研究所的合作中，ICS成员正在开发自动化工具，以支持燃料电池技术新材料的发现。ICS还通过会议，研讨会，讲座和在线讨论建立了一个充满活力的计算可持续性研究社区。这些研究工作与ICS教育和推广活动相结合，促进了计算机科学领域的教学、培训和提高妇女和代表性不足的少数群体的地位。有关ICS及其为满足关键的社会，环境和经济需求而做出的努力的更多信息，可以在ICS网站上找到：www.cis.cornell.edu/ics