Convergence NNA: Networking Indigenous Arctic and U.S. Southwest Communities on Knowledge Co-Production in Data Sciences

Convergence NNA：将北极土著社区和美国西南部社区建立数据科学知识合作生产网络

• 批准号: 1745499
• 负责人: Noor Jehan Johnson
• 金额: $ 49.9万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745499&HistoricalAwards=false
• 关键词: Convergence; NNA; Networking; Indigenous; Arctic

This award supports a Research Coordinating Network (RCN) that brings together scientists and Indigenous communities, Alaska Native communities and Tribal communities in the U.S. Southwest, to advance understanding of the challenges rapid socioecological change pose to food security and resilience in these communities. Indigenous knowledge and perspectives will be combined with scientific knowledge across the biological, geological, geographic, anthropological, and information sciences to enable a comprehensive overview of how different investigators and scholars, from different perspectives and different environments, approach the issues of food security and resilience. One of the key strengths of the RCN is the synergy it will generate between North and South and between Western science and Indigenous scholarship. In addition, the network incorporates insights from information science and data professionals to explore ways to link systems, data and perspectives from multiple domains, both Indigenous and scientific. The project team intends to increase sharing and address issues of Indigenous communities concerns over data ownership and access by developing more effective tools for sharing data in cyberspace and on social media. Exploring how to merge ideas from diverse groups will contribute to the advancement of both Convergence science and the co-production of knowledge with Indigenous communities. This award is part of NSF's effort to promote convergence. The project is convergent because it brings together a diversity of disciplines to concentrate on a question of critical social importance. Social, natural, and information scientists and Indigenous communities will focus on increasing our understanding of the impacts of rapid socioecological change in Indigenous communities from Alaska and the U.S. Southwest on food security and resilience in these communities. The project is convergent not just in how it combines scientific disciplines to address a societal problem, but also in how NSF might fundamentally think about the social construction of the scientific enterprise in the United States.This RCN has the potential to add a new and fresh perspective to research on food security and resilience through exploration of the rapid social and environmental changes ongoing in the Arctic, by more effectively highlighting Indigenous sources of information. To broaden the perspective and insight into these issues, the RCN will connect Arctic Indigenous communities with tribes in the U.S. Southwest, mainly in Arizona and New Mexico. The RCN has three foci: 1) preservation, visualization, and sharing of Indigenous knowledge; 2) access to scientific data; and 3) Indigenous data sovereignty. The project will be largely driven and led by Indigenous organizations but will include interdisciplinary Western scientists focused on food security and resilience from both the social and physical sciences to discuss current research agendas, data availability, and encourage the direct engagement of Indigenous partners. One Broader Impact of the RCN is the creation of relationships between Indigenous communities living in different areas but experiencing rapid social and environmental changes. The RCN will also create a plan for preserving and visualizing Indigenous Knowledge and connecting it to scientific data.

该奖项支持一个研究协调网络（RCN），该网络将科学家和土著社区，美国西南部的阿拉斯加土著社区和部落社区汇集在一起​​，以促进对这些社区的粮食安全和弹性构成挑战的理解。 土著知识和观点将与生物学，地质，地理，人类学和信息科学的科学知识相结合，从而使不同的研究人员和学者从不同的角度和不同的环境中如何处理粮食安全和复原力的问题进行全面概述。 RCN的关键优势之一是它将在北方和南方以及西方科学和土著学术之间产生的协同作用。此外，该网络还结合了信息科学和数据专业人员的见解，以探索将系统，数据和观点从多个土著和科学的界定链接起来的方法。 该项目团队打算通过开发更有效的工具来在网络空间和社交媒体上开发更有效的工具，以提高本地社区对数据所有权和访问的问题的问题。探索如何合并不同群体的思想将有助于融合科学的发展和与土著社区的知识共同生产。该奖项是NSF促进融合的努力的一部分。该项目之所以会收敛，是因为它汇集了各种各样的学科，以关注一个至关重要的社会重要性问题。 社会，自然和信息科学家和土著社区将着重于我们对来自阿拉斯加和美国西南部对这些社区粮食安全和弹性的土著社区快速社会生态变化的影响的理解。该项目不仅融合了如何结合科学学科来解决社会问题，而且在NSF如何从根本上考虑了美国科学企业的社会建构。此RCN有可能通过促进众所周知的众所周知，通过探索快速的社会和环境来探索粮食安全和恢复能力，从而为众所周知的促进，从而增加了新的研究，以促进粮食安全性和恢复能力。为了扩大对这些问题的观点和洞察力，RCN将将北极土著社区与美国西南部的部落联系起来，主要是亚利桑那州和新墨西哥州。 RCN具有三个焦点：1）保护，可视化和共享土著知识； 2）访问科学数据； 3）土著数据主权。 该项目将在很大程度上由土著组织驱动和领导，但包括跨学科的西方科学家，专注于粮食安全和社会科学的韧性，讨论当前的研究议程，数据可用性，并鼓励土著伙伴直接参与。 RCN的一个更广泛的影响是建立生活在不同地区的土著社区之间的关系，但经历了快速的社会和环境变化。 RCN还将制定一个计划，以保存和可视化本地知识并将其连接到科学数据。