Pan-American Advanced Studies Institute on Methods in Computational Discovery for Multidimensional Problem Solving; Universidad del Valle, Guatemala, July 2013

泛美多维问题解决计算发现方法高级研究所；

• 批准号: 1242216
• 负责人: Marshall Poole
• 金额: $ 10万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-11-01 至 2013-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1242216&HistoricalAwards=false
• 关键词: Pan; American; Advanced; Studies; Institute

This Pan-American Advanced Studies Institutes (PASI) award, jointly supported by the NSF and the Department of Energy (DOE), will take place July 2013 at the Universidad del Valle in Guatemala. Organized by Dr. Marshall S. Poole, Professor in the Department of Communications at the University of Illinois, Urbana-Champaign, the PASI aims to introduce junior researchers to methods in computation-based discovery (CBD). In searching for solutions to major problems (e.g., biodiversity, modeling of natural systems, water ecology, and others), researchers across the natural and social sciences as well as the humanities and arts are generating massive and/or highly complex data sets that extend well-beyond humans' capacities to perceive or analyze without sophisticated technological augmentation. CBD allows researchers to gather, transform, and analyze data from a range of sources, including, for example, sensors, video archives, telescopes, and supercomputers. Thus, access to advanced computational resources and also to sophisticated skills in data acquisition, management, transformation, visualization, analytics, and preservation, are highly valued by researchers. For example, sophisticated visualization tools and techniques enhance human understanding of extreme, complex and/or abstract data sets, making it easier to see patterns and relationships and to form or test hypotheses.The Institute will focus on CBD technical and analytical methods and help investigators apply these to their own research. Key goals are to (1) expand participants' knowledge of high performance computing (HPC) and specialized tools and techniques that support CBD involving massive or complex data sets; (2) provide hands-on experience in exploring large and complex data sets using easily accessible desktop open source tools; (3) bring researchers from underrepresented populations into the CBD field; and (4) foster new collegial partnerships that stimulate both national and international co-operative research among the presenters and attendees. In addition, the PASI will also provide up-to-date information on the deliberations of the PASI to a wider audience through a web page to disseminate results and reports of the meeting.

这项由美国国家科学基金会和能源部（DOE）共同支持的泛美高级研究所（PASI）奖将于2013年7月在危地马拉的瓦莱大学举行。 由马歇尔博士组织。Poole，伊利诺伊大学厄巴纳-香槟分校通信系教授，PASI旨在向初级研究人员介绍基于计算的发现（CBD）方法。 在寻找解决重大问题的方法时（例如，生物多样性、自然系统建模、水生态学等），自然和社会科学以及人文和艺术领域的研究人员正在生成大量和/或高度复杂的数据集，这些数据集远远超出了人类在没有复杂技术增强的情况下感知或分析的能力。 CBD允许研究人员收集、转换和分析来自各种来源的数据，包括传感器、视频档案、望远镜和超级计算机。 因此，获得先进的计算资源以及数据采集、管理、转换、可视化、分析和保存方面的复杂技能受到研究人员的高度重视。 例如，先进的可视化工具和技术提高了人类对极端，复杂和/或抽象数据集的理解，使其更容易看到模式和关系，并形成或测试假设，该研究所将专注于CBD技术和分析方法，并帮助研究人员将其应用于自己的研究。 主要目标是：（1）扩大参与者对高性能计算以及支持涉及大量或复杂数据集的生物多样性公约的专门工具和技术的了解;（2）提供使用易于获得的桌面开放源码工具探索大型和复杂数据集的实践经验;（3）使代表性不足的人群中的研究人员进入生物多样性公约领域;以及（4）培养新的合议伙伴关系，促进演讲者和与会者之间的国家和国际合作研究。 此外，泛希社运还将通过一个网页向更广泛的受众提供关于泛希社运审议工作的最新信息，以传播会议的结果和报告。