Collaborative Research: CI-Team Diff: The Virtual Learning Commons: STEM Research Communities Learning about Data Management, Geospatial Informatics, and Scientific Visualization

协作研究：CI-Team Diff：虚拟学习共享空间：STEM 研究社区学习数据管理、地理空间信息学和科学可视化

• 批准号: 1135530
• 负责人: Marjorie McConnell
• 金额: $ 13.39万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1135530&HistoricalAwards=false
• 关键词: Collaborative; Research; CI; Team; Diff

The expected national transformation of 21st Century science through cyberinfrastructure (CI) depends on adoption of new CI approaches across many science, technology, engineering and mathematics (STEM) domains. For STEM faculty and researchers who are unfamiliar with CI but are otherwise well prepared, the learning curve to adopt new technology is steep and tools are immature and difficult to use. Key issues are the need for 1) effective processes and mechanisms by which STEM professionals can learn to integrate CI into their work, and 2) development of empirically based theories about the diffusion of CI innovation in research settings so that effective processes and mechanisms can be designed and enacted. This project is developing a synergistic environment that will enable the STEM research community, including graduate students, faculty, and researchers, to engage in life-long, life-wide learning about emerging CI. The goals of the project are to: create a virtual learning environment focused on techniques for data and information acquisition, management, curation, analysis, visualization, provenance, and discovery; engage local, regional, national and international STEM research and education communities in face-to-face and virtual settings; and continue to develop and extend our understanding, theories, concepts, and models of technology adoption and diffusion of CI innovation in interdisciplinary research settings. The project uses four activities to accomplish its goals: 1) collaborative development of a Virtual Learning Commons (VLC); 2) virtual workshops using videoconference technology and the VLC, 3) face-to-face working meetings, and 4) postdoctoral researcher and graduate student mentoring. All activities integrate research with education through problem-based, experiential learning by communities of practice in the context of real problem solving. Intellectual Merit. This project will contribute new knowledge about virtual, collaborative learning about CI and through CI, developing a new, CI-enabled learning system. It will generate new communities of CI-enabled professional STEM researchers, in particular those working in the areas of data management, geospatial informatics, and visualization. It will generate new understanding of diffusion of existing and emerging CI innovations in the global STEM research community and new models of interdisciplinary, distributed collaboration between CI researchers and STEM researchers at all professional levels - graduate student to highly experienced. The project will provide a better understanding of interactions between virtual learning environments, communities of practice, and life-long, life-wide learning by researchers. The project involves an experienced team of CI researchers from the University of Texas at El Paso (UTEP), University of Kansas (KU), and University of New Mexico (UNM) who are partnering with research communities in science and engineering education, geo-epidemiology, and information management at UNM, Los Alamos National Laboratory (LANL), and the National and International Long Term Ecological Research (LTER) Network. The project builds on models of collaborative learning generated from our previous CI-Team Demonstration and Implementation Projects to accomplish the objectives. Broader Impacts. This project will have broad impacts within multiple STEM communities traditionally underrepresented in high-end scientific computing, as well as involving underrepresented minorities at two Hispanic Serving Institutions. The project will ensure that Hispanic students in STEM disciplines at UTEP receive the knowledge and skills that enable them to become leaders in CI-enabled STEM research, through mentoring Science and Engineering Educators at UTEP as they learn about and use CI within the VLC -- educating the educators. The project provides a model for moving communities to CI-based approaches that can be replicated in any STEM community. It will generate resources for the broad STEM research community to learn about data management - now a requirement for all NSF programs. It will also generate a new virtual space within which an emerging community of practice engaged in CI Workforce Development may begin to share resources and collaborate.

通过网络基础设施（CI）对21世纪科学的预期国家转型取决于在许多科学，技术，工程和数学（STEM）领域中采用新的CI方法。对于不熟悉CI但准备充分的STEM教师和研究人员，采用新技术的学习曲线是陡峭的，工具不成熟且难以使用。关键问题是需要1）STEM专业人员可以学会将CI纳入其工作的有效过程和机制，以及2）关于CI创新在研究环境中扩散基于经验的理论，以便有效的过程和机制可以是设计和制定。该项目正在开发一个协同的环境，该环境将使包括研究生，教职员工和研究人员在内的STEM研究社区能够从事有关新兴CI的终身学习的学习。该项目的目标是：创建一个虚拟学习环境，重点是用于数据和信息获取，管理，策展，分析，可视化，出处和发现的技术；在面对面和虚拟的环境中让地方，区域，国家和国际STEM研究与教育社区与当地，区域和国际STEM研究和教育社区联系；并继续发展和扩展我们的理解，理论，概念和技术采用的模型以及CI创新在跨学科研究环境中的扩散。该项目使用四个活动来实现其目标：1）虚拟学习共享（VLC）的协作发展； 2）使用视频会议技术和VLC的虚拟研讨会，3）面对面的工作会议，以及4）博士后研究员和研究生指导。所有活动通过在实际问题解决的背景下通过基于问题的，实践社区的经验学习将研究与教育整合在一起。智力优点。该项目将贡献有关CI和CI的虚拟，协作学习的新知识，并开发出一种新的CI启用的学习系统。它将产生新的支持CI的专业STEM研究人员，尤其是在数据管理，地理空间信息学和可视化领域工作的社区。它将对全球STEM研究社区中现有和新兴CI创新的扩散以及跨学科的新模型进行新的了解，并在CI研究人员和STEM研究人员之间在所有专业层面 - 研究生 - 经验丰富的研究生。该项目将更好地理解虚拟学习环境，实践社区以及研究人员终身学习的终生学习之间的互动。该项目涉及来自德克萨斯大学El Paso（UTEP），堪萨斯大学（KU）和新墨西哥大学（UNM）的经验丰富的CI研究人员团队，他们正在与科学与工程教育研究社区合作，洛斯阿拉莫斯国家实验室（LANL）以及国家和国际长期生态研究（LTER）网络的流行病学和信息管理。该项目建立在我们以前的CI团队演示和实施项目中生成的协作学习模型，以实现目标。更广泛的影响。该项目在高端科学计算中的多个STEM社区中将产生广泛的影响，并在两个西班牙裔服务机构中涉及少数群体不足的少数民族。该项目将确保UTEP的STEM学科中的西班牙裔学生获得知识和技能，使他们能够通过在UTEP的科学和工程教育工作者中学习和在VLC中使用CI，从而成为CI-STEM研究的领导者 - 教育教育者。该项目为将社区转移到基于CI的方法提供了一个模型，这些方法可以在任何STEM社区中复制。它将为广泛的STEM研究社区生成资源，以了解数据管理 - 现在对所有NSF计划的要求。它还将生成一个新的虚拟空间，在该空间中，从事CI劳动力发展的新兴实践社区可能会开始共享资源并协作。