CNH: International Network of Research on Coupled Human and Natural Systems (CHANS_Net)

人与自然耦合系统是人与自然成分相互作用的综合系统。Chans的研究最近已经成为一个令人兴奋的跨学科科学研究的综合领域，研究项目涵盖了全球各地的各种耦合系统。然而，到目前为止，这类研究主要是在传统的单个项目模式下进行的，每个项目都集中在一个或少数几个地点。尽管这些单独的项目产生了许多重要的见解，但必须系统地改变该领域，使之不仅仅是各个部分的总和，并提供比单独的项目产生的更大的科学和社会意义的更广泛的见解。该项目旨在通过发展一个关于Chans的国际研究网络(Chans-Net)来促进这一转变，以促进Chans研究界成员(例如，生态学家、社会科学家、地球科学家和工程师)之间的交流和合作。Chans-Net有四个相互关联的目标：(1)通过虚拟互动促进整个Chans社区的沟通和合作；(2)通过面对面的互动促进沟通和合作；(3)产生和传播关于Chans复杂性的比较和综合学术；以及(4)加强、扩大和多样化Chans社区。这些目标将通过一系列活动来实现，包括创建一个最先进的基于网络的虚拟资源中心，以及时交流和传播重要信息，组织研讨会和研讨会，以比较和综合各个研究站点关于Chans复杂性的最新研究成果和方法，出版关于Chans复杂性的一流比较和综合结果，以及建立Chans研究员计划，使学生和初级研究人员能够参与Chans-Net活动，特别是努力鼓励代表不足的群体参与。该项目将通过加强整个陈氏社区的沟通和合作，促进对陈氏复杂性的发现和理解。它将通过利用基于现场的Chans研究的知识和优势，将Chans科学提升到更高的综合水平。它将为各个领域的研究人员和世界各地对Chans感兴趣的其他人提供有用的信息。这将进一步激发人们对Chans研究的兴趣，增加从事Chans研究的学者的数量和有效性。除了学术综合，这个项目还将产生许多其他非常重要的产品，例如确定研究差距和优先事项，改进对基于现场的Chans研究进行严格比较分析的方法，培训Chans研究的新一代领导者，以及建立专业关系，这将导致未来更长、更深和更广泛的合作。该项目得到了美国自然与人类耦合系统动力学(CNH)计划的支持。

Coupled human and natural systems (CHANS) are integrated systems in which humans and natural components interact. CHANS research recently has emerged as an exciting and integrative field of cross-disciplinary scientific inquiry, with research projects covering a variety of coupled systems in locations spanning the globe. Until now, however, this type of research has largely been undertaken in the traditional mode of individual projects, each focused on one or a small number of sites. Although these individual projects have generated many important insights, it is essential to systematically transform the field to be more than the sum of its parts and to provide broader insights of greater scientific and societal significance than those resulting from individual projects alone. This project aims to foster that transformation by developing an international network of research on CHANS (CHANS-Net) to facilitate communication and collaboration among members of the CHANS research community (e.g., ecologists, social scientists, geoscientists, and engineers). CHANS-Net has four interrelated objectives: (1) To promote communication and collaboration across the CHANS community through virtual interaction; (2) To facilitate communication and collaboration through face-to-face interaction; (3) To generate and disseminate comparative and synthesis scholarship on CHANS complexity; and (4) To strengthen, broaden and diversify the CHANS community. These objectives will be achieved through a series of activities, including the creation of a state-of-the-art web-based Virtual Resource Center to offer timely exchange and dissemination of important information, the organization of symposia and workshops to compare and synthesize the latest research findings and methods on CHANS complexity across various research sites, the publication of first-rate comparative and synthesis results on CHANS complexity, and the establishment of a CHANS Fellows program to enable the participation of students and junior researchers in CHANS-Net activities, with particular efforts to encourage the participation from underrepresented groups. The project will advance discovery and understanding of CHANS complexity by enhancing communication and collaboration across the CHANS community. It will elevate CHANS science to a higher level of synthesis by taking advantage of the knowledge and strengths of the site-based CHANS research. It will offer useful information for researchers in various fields and other people from around the world who are interested in CHANS. It will further stimulate interest in CHANS research and increase the number and the effectiveness of scholars pursuing CHANS research. In addition to the production of scholarly synthesis, this project will yield many other very important products, such as the identification of research gaps and priorities, improvement in methods for rigorous comparative analyses across site-based CHANS studies, training of a new generation of leaders in CHANS research, and building of professional relationships that will lead to longer, deeper, and broader collaboration in the future. This project is supported by the NSF Dynamics of Coupled Natural and Human Systems (CNH) Program.