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），该网络将科学家和美国西南部的原住民社区、阿拉斯加原住民社区和部落社区聚集在一起，以增进对快速社会生态变化对这些社区粮食安全和复原力构成的挑战的了解。 本土知识和观点将与生物、地质、地理、人类学和信息科学领域的科学知识相结合，以全面概述不同的研究人员和学者如何从不同的角度和不同的环境处理粮食安全和复原力问题。 RCN 的主要优势之一是它将在南北之间以及西方科学与本土学术之间产生协同作用。此外，该网络还融合了信息科学和数据专业人士的见解，探索如何将来自本土和科学领域的系统、数据和观点联系起来。 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共享数据，从而增加共享并解决原住民社区对数据所有权和访问的担忧。探索如何融合不同群体的想法将有助于融合科学的进步以及与土著社区共同生产知识。该奖项是 NSF 促进融合努力的一部分。该项目具有融合性，因为它汇集了多种学科，集中研究具有重要社会意义的问题。 社会、自然和信息科学家以及土著社区将重点加强我们对阿拉斯加和美国西南部土著社区快速社会生态变化对这些社区粮食安全和复原力的影响的了解。该项目的共同点不仅体现在如何结合科学学科来解决社会问题，还体现在 NSF 如何从根本上思考美国科学事业的社会建设。该 RCN 有潜力通过探索北极地区正在发生的快速社会和环境变化，更有效地强调土著信息来源，为粮食安全和复原力研究增添新的视角。为了拓宽对这些问题的视角和洞察力，RCN 将把北极原住民社区与美国西南部（主要是亚利桑那州和新墨西哥州）的部落联系起来。 RCN 有三个重点：1）保存、可视化和共享土著知识； 2）获取科学数据； 3) 本土数据主权。 该项目将主要由原住民组织推动和领导，但将包括专注于粮食安全和社会科学和自然科学复原力的跨学科西方科学家，讨论当前的研究议程、数据可用性，并鼓励原住民合作伙伴的直接参与。 RCN 的一项更广泛的影响是在生活在不同地区但经历快速社会和环境变化的原住民社区之间建立关系。 RCN 还将制定一项计划来保存和可视化土著知识，并将其与科学数据联系起来。