RCN: Advancing Lake Ecology by Building an International Community to Exploit Innovations in Sensor Network Technology

RCN：通过建立国际社区利用传感器网络技术创新来推进湖泊生态

• 批准号: 0639229
• 负责人: Paul Hanson
• 金额: $ 49.92万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-03-15 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0639229&HistoricalAwards=false
• 关键词: RCN; Advancing; Lake; Ecology; Building

The University of Wisconsin-Madison is awarded a grant to develop a research coordination network for lake ecology. The project leverages advances in sensor network technology and Internet connectivity by forming a global community of limnologists and informatics experts to explore the role of lakes in global environmental processes. The project has three aims. First, it will advance the modeling of key lake processes by exploiting data from a global network of instrumented lakes. Second, it will integrate aquatic science with advances in sensor technology and information management. Finally, it will engage a global community of diverse scientists by recruiting researchers from international sites, scientists early in their careers, and under-represented groups.The project builds upon a small, but growing network of lake sensing sites coupled with Internet connectivity and grid services initiated by the Global Lake Ecological Observatory Network. The project will catalyze new research in aquatic ecology through improved models and questions designed to extract maximum information from sensor data. Through its broad representation in the aquatic and information technology disciplines, and its strong emphasis on recruiting graduate students and under-represented scientists, this project will advance community network development and help unite scientists whose goals are to realize the promise of new science from sensor networks.

威斯康星大学麦迪逊分校获得一笔赠款，用于开发湖泊生态学研究协调网络。该项目利用传感器网络技术和互联网连接的进步，形成一个由湖沼学家和信息学专家组成的全球社区，探索湖泊在全球环境过程中的作用。该项目有三个目标。首先，它将通过利用来自全球仪器湖泊网络的数据来推进关键湖泊过程的建模。第二，它将把水产科学与传感器技术和信息管理的进步结合起来。最后，它将通过招募来自国际站点的研究人员、职业生涯早期的科学家和代表性不足的群体，吸引全球不同科学家的参与。该项目建立在一个小型但不断增长的湖泊传感站点网络之上，并与全球湖泊生态观测站网络发起的互联网连接和网格服务相结合。该项目将通过改进的模型和问题促进水生生态学的新研究，这些模型和问题旨在从传感器数据中提取最大信息。通过其在水产和信息技术学科的广泛代表性，以及对招收研究生和代表性不足的科学家的高度重视，该项目将推动社区网络的发展，并帮助团结科学家，其目标是实现传感器网络的新科学的承诺。