CI-TEAM Implementation Project: Using the GODM Cyberinfrastructure to Involve Citizen Scientists in Moving from Data Isolation to Data Integration

该研究团队的愿景是授权公民科学家（例如学生，教育工作者，志愿者组织，私人利益相关者和公众）使用现有的网络基础设施（即全球生物检测和监测系统（GODM））以数字方式收集，输入，整合和分析有关有害非本地动植物分布的数据。具体而言，目标是：(1)利用我们公开可用的网络基础设施促进有害非本地动植物数据的共享；(2)提供网络基础设施工具，帮助公民科学家准确收集和有效传播非本地物种数据；(3)为技术不太先进的群体提供制图和决策支持服务，以分析和绘制入侵者当前和未来的分布；(4)教育公民科学家利用网络基础设施，使他们能够在地方到全球范围内推进科学、保护和管理实践；(5)促进从被动到主动的预防、控制和遏制新入侵者战略的转变。为了实现这些目标，合作研究团队将：采访公民科学家，以确定对现有网络基础设施工具的适当增强；确定阈值以确保高质量的数据收集；对现有的网络基础设施工具实施已确定的改进措施；并开发教育材料，分发给GODM网络基础设施的早期采用者和最终用户。知识价值：利用GODM网络将教育公民科学家使用网络基础设施工具，这些工具将有助于解决与非本地物种和保护有关的当地问题，同时欣赏入侵过程的区域、国家和全球方面。该系统的使用还将说明将公民科学数据与专业数据结合起来，在解决和回答研究问题的同时解决保护问题的重要性。开放的、基于网络的系统将通过展示网络基础设施在开放获取建模框架中多种数据集协同作用的力量，促进科学和地方社区的教育、快速数据共享和信息管理。更广泛的影响：该项目将为当前和未来的公民科学家、工程师和科学家提供有效收集、传播和分析数据的方法，使用我们的GODM网络基础设施提供的基于网络的工具。让公民科学家参与研究工作还将提高认识，降低社会成本，并通过向下一代科学家提供直接影响当地保护和管理实践所需的教育和技术工具来培训他们。通过在线提供这些服务，任何有互联网连接的人都可以使用这些工具，从而覆盖到目前在技术上被隔离的地理区域和代表性不足的群体（例如部落）。这些小组将能够创建和维护有害的非本地入侵者的“活地图”，以便早期发现和快速反应，并使用入侵物种预测系统（ISFS）进行先进的建模技术，为他们提供参与数字社会的知识和信心。这项研究作为一个“保护伞”的努力，开始记录、绘制和模拟所有主要的外来入侵物种，并创建一个预测和决策支持系统，可供数百名公民科学家远程使用，说明教育和网络基础设施在应对本世纪的保护挑战方面的作用。

The vision of this research team is to empower citizen scientists (e.g., students, educators,volunteer organizations, private stakeholders, and the public) in using an existingcyberinfrastructure (i.e., the Global Organism Detection and Monitoring system (GODM)) to digitally collect, input, integrate, and analyze data on the distribution of harmful non-native plants and animals. Specifically, the goals are to: (1) promote the sharing of data on harmful non-native plants and animals using our publicly available cyberinfrastructure; (2) provide cyberinfrastructure tools to help citizen scientists accurately collect and efficiently disseminate data on non-native species; (3) provide mapping and decision support services to less technologically advanced groups to analyze and map the current and future distributions of invaders; (4) educate citizen scientists on the utility of cyberinfrastructure to empower them to advance science and conservation and management practices at local to global scales; and (5) foster a shift from a reactive to a proactive prevention, control, and containment strategy for newinvaders. To meet these goals, the collaborative research team will: interview citizen scientists to determine appropriate enhancements to existing cyberinfrastructure tools; identify thresholds to ensure high quality data collection; implement identified enhancements to existing cyberinfrastructure tools; and develop educational materials to distribute to both early adopters and eventual end users of the GODM cyberinfrastructure. Intellectual Merit: Using the GODM network will educate citizen scientists aboutcyberinfrastructure tools that will help solve local problems related to non-native species and conservation, while appreciating the regional, national, and global aspects of the invasion process. Use of this system will also illustrate the importance of integrating citizen science data with professional data in solving and answering research questions while addressing conservation issues. The open, web-based system will promote education, rapid data-sharing, and information management in scientific and local communities by demonstrating the power of cyberinfrastructure for the synergy of multiple datasets in an open access modeling framework.Broader Impact: This program will provide current and future citizen scientists, engineers, and scientists with the means to effectively collect, disseminate, and analyze data using web-based tools provided by our GODM cyberinfrastructure. Involving citizen scientists in research efforts will also raise awareness, reduce costs to society, and train the next generation of scientists by providing them with the educational and technical tools needed to directly impact local conservation and management practices. By providing these services online, access to these tools will be available to anyone with an internet connection, thus reaching geographic areas and underrepresented groups that are currently technologically isolated (e.g., Tribes). These groups will be able to create and maintain "living maps" of harmful non-native invaders for early detection and rapid response and conduct advanced modeling techniques using an Invasive Species Forecasting System (ISFS), providing them with the knowledge and confidence to participate in a digital society. This research serves as an "umbrella" effort to begin to document, map, and model all major invasive non-native species and to create a forecasting and decision support system that can be used remotely by hundreds of citizen scientists, illustrating the utility of education and cyberinfrastructure to meet this century's conservation challenges.