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

威斯康星大学麦迪逊分校获得一笔赠款，用于发展湖泊生态研究协调网络。该项目利用传感器网络技术和互联网连接的进步，组建了一个由湖泊学家和信息学专家组成的全球社区，以探索湖泊在全球环境进程中的作用。该项目有三个目标。首先，它将通过利用全球仪表化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，吸引不同科学家组成的全球社区。该项目建立在一个小型但不断增长的湖泊遥感站点网络的基础上，加上由全球湖泊生态观测网络发起的互联网连接和网格服务。该项目将通过改进的模型和问题来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，以及其对招收研究生和代表性不足的科学家的强烈重视，该项目将推动社区网络的发展，并帮助团结那些目标是从传感器网络实现新科学前景的科学家。

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.