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NSF网络基础设施倡议:愿景和实现学习和发现的无障碍

The NSF Cyberinfrastructure Initiative: Vision and Implementation Towards Learning and Discovery without Barriers
课程网址: http://videolectures.net/mitworld_atkins_ci/  
主讲教师: Daniel Atkins
开课单位: 密歇根大学
开课时间: 2013-01-03
课程语种: 英语
中文简介:
最近, 国家科学基金会奖励丹尼尔·阿特金斯对高性能计算和分布式知识架构的独特贡献, 他自己的部门, 即著名的网络办公所。在他的演讲中, 阿特金斯概述了他在这个新职位上的宏伟目标。 在详细的小插曲中, atkins 描述了一个研究企业, 该企业使他走上了目前的 "没有地理、时间、文化或体制障碍的学习和发现" 的道路。多学科的高层大气研究, 使科学家能够使用望远镜和其他仪器, 这些仪器存放在远离其家乡的格陵兰地点。在万维网前的日子里, atkins 帮助设计了一个计算机网络, 使研究人员能够共享和显示数据, 并实时访问仪器和 "实践社区执行其操作所需的全部资源""多年来, 这种" 协作 "导致了跨越多个时区的" 动态会议室 ", 激励了科学家们, 否则他们相互竞争, 并使用宝贵的工具进行协作和汇集资源。此外, 这一科学门户网站也可供许多其他人访问, 包括大学年龄和年龄较小的学生。 这对 atkins 来说是一个决定性的经历, 他明白, 这种合作促成了一种新的研究, 并有了 "适当的脚手架", 也支持了教育和外联工作。"如果我们做得对, 多个结果是可能的;我们需要创造一个环境, 在研究、教育和社会参与之间建立更多的协同作用, "atkins 说。 这正是他在 nsf 所追求的。atkins 承认, 为广泛、相互关联的研究界系统奠定基础将是昂贵的, 因此, 网络基础设施 (ci) 已经在全世界出现, 在 nsf, 它将是 "目标和对象。r & d. "nsf 将在几个方面同时向前推进: 高性能计算、数据分析、虚拟组织、学习和劳动力发展, 希望以变革性的方式应用 ci"。阿特金斯说, 艰巨而卑微的任务, 特别是考虑到资源, 并将取决于许多群体之间的合作: "任何带有革命味道的事情都必须是一个多方利益攸关方企业," 他说。但 atkins 认为, "前沿科学挑战固有的复杂性和多尺度性质" 需要多学科、多机构和频繁的国际化方法, 这种方法将取决于 ci。他还认为, 解决我国科学和工程教育危机的部分办法在于鼓励公众对新的、邀请的在线科学社区产生兴趣。
课程简介: Quite recently, the National Science Foundation rewarded Daniel Atkins for his unique contributions to high-performance computing and distributed knowledge architecture with a division of his own, the formidably named Office of Cyberinfrastructure. In his talk, Atkins outlines his ambitious goals for this new post. In a detailed vignette, Atkins describes a research enterprise that set him on his current course of advancing “learning and discovery without geographic, temporal, cultural or institutional barriers.” During the 1980s, Atkins participated in a multidisciplinary, upper atmosphere study that enabled scientists to use telescopes and other instruments housed in a remote Greenland site from their home institutions. In pre-World Wide Web days, Atkins helped design a computer network that made it possible for researchers to share and display data, and gain real-time access to instruments and to “the entire spectrum of resources that a community of practice needs to do its work.” Over years, this “collaboratory” led to “dynamic workrooms” across many time zones, inspiring scientists who otherwise competed against each other and who hogged precious instruments to collaborate and pool resources. In addition, this science portal became accessible to many others, including college-age and younger students. This was a defining experience for Atkins, who grasped that the collaboratory enabled a new kind of research, and with “appropriate scaffolding,” supported education and outreach efforts as well. “Multiple outcomes are possible if we do it right; we need to create an environment that will create more synergy between research, educational, and societal engagement,” says Atkins. This is precisely what he’s after at NSF. Acknowledging that laying the foundations for a widespread, interconnected system of research communities will be expensive, Atkins notes that cyberinfrastructure (CI) is already emerging worldwide, and that at NSF, it will be “both the object and the means for R&D.” NSF will push forward on several fronts simultaneously: high performance computing, data analysis, virtual organizations, and learning and workforce development, hoping to apply CI “in transformative ways.” This is a daunting and humbling task, especially given the resources, says Atkins, and will depend on cooperation among many groups from the get go: “Anything that smacks of revolution has got to be a multi-stakeholder enterprise,” he says. But Atkins believes the “inherent complexity and multi-scale nature of frontier science challenges” demand a multidisciplinary, multi-institutional and frequently international approach that will depend on CI. He also believes part of the solution to our nation’s crisis in science and engineering education lies in encouraging public interest in new and inviting online science communities.
关 键 词: 高性能计算; 数据分析; 虚拟组织
课程来源: 视频讲座网
最后编审: 2020-06-04:毛岱琦(课程编辑志愿者)
阅读次数: 55