BD Hubs: Collaborative Proposal: West: Accelerating the Big Data Innovation Ecosystem
BD Hubs: Collaborative Proposal: West: Accelerating the Big Data Innovation Ecosystem
批准号:
1916573
负责人:
Jennifer Chayes
金额:
$210.82万
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-06-01 至 2024-09-30
中文摘要
BD中心促进利益相关者的区域网络,并就美国对一个地区和国家的重要优先事项在全国范围内进行合作。数据中心的活动有助于建立一个充满活力的国家数据创新生态系统。西部大数据创新中心建立并加强战略合作伙伴关系——利用数据革命来应对科学和社会挑战。无论是致力于数据知情的医疗保健的未来,还是解决灾难恢复中的项目,该中心都设想建立一个多样化的社区,使其能够为国家优先领域做出贡献。这些中心专注于数据科学活动和倡议,这些活动和倡议激发了跨部门的合作,并举例说明了对多学科方法的需求。获得该奖项后,西部大数据创新中心将:(1)在我们的主题领域开发和启用转化数据科学(TDS)试点项目,以突出跨部门协作的价值,增强与现实世界用例的流畅性,并强调对数据和分析生命周期的务实和整体看法。我们设想2019-2023年的标志性TDS计划包括:水火:未来自然资源管理的数据协作;道路视频压力测试通道;住房不稳定:可信数据协同负责任的数据管理。(2)透过我们的活动,促进不同持份者组成团队,收集鼓舞人心的故事,并鼓励团队反思和分享他们对跨界别合作的见解。(3)提高对区域机会的认识,并激发在自然资源和灾害、城域数据科学、健康和医学、数据发现和学习、数据共享、云计算和负责任数据科学等优先领域的工作。(4)支持数据科学教育和劳动力发展。认识到多元化、多面性的劳动力是应对当前科学和社会挑战的关键,我们将继续扩大教育和劳动力发展工作的组合,包括重点关注培训师培训课程、教学法与实践、数据科学促进社会公益和数据科学军团、可找到、可访问、可互操作和可重复使用(FAIR)数据以及制度变革——为扩大数据科学的参与提供一个平台。我们在规划活动、社会技术共享资源和服务以及教育和劳动力发展活动方面取得进展的核心将是协调评估、将区域成功扩展到国家大数据中心网络的机会,以及为中心的可持续性做出战略努力,包括开发外部资金流。这些努力的目的是使社区能够投入,并加强进行中的对话的渠道。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The BD Hubs foster regional networks of stakeholders and cooperate nationally on US priorities of importance to a region and to the nation. The activities of the BD Hubs contribute to a vibrant national data innovation ecosystem. The West Big Data Innovation Hub builds and strengthens strategic partnerships -- harnessing the data revolution to address scientific and societal challenges. Whether working towards the future of data-informed healthcare or tackling projects in disaster recovery, the Hub envisions a diverse community empowered to contribute to areas of national priority. The Hubs focus on data science activities and initiatives that inspire cross-sector collaboration and exemplify the need for multi-disciplinary approaches.With this award, the West Big Data Innovation Hub will: (1) Develop and enable translational data science (TDS) pilot projects in our thematic areas to highlight the value of cross-sector collaboration, enhance fluency with real-world use cases, and emphasize a pragmatic and holistic view of the data and analytics lifecycles. We envision our signature TDS initiatives for 2019-2023 to include: Fire and Water: Data Collaborative for the Future of Natural Resource Management; Stress-Testing Access for Road Video; and Housing Instability: Trusted Data Collaborative for Responsible Data Management. (2) Facilitate team formation across different stakeholder groups through our activities, capturing inspirational stories and encouraging teams to reflect and share their insights about cross-sector collaboration. (3) Raise awareness of regional opportunities and inspire work in priority areas including Natural Resources & Hazards, Metro Data Science, Health & Medicine, Data-Enabled Discovery & Learning, Data Sharing, Cloud Computing, and Responsible Data Science. (4) Support data science education and workforce development. Recognizing that a diverse, multi-faceted workforce is key to addressing current scientific and societal challenges, we will continue to expand our portfolio of education and workforce development efforts, including a focus on Train-the-Trainer sessions, Pedagogy and Practice, Data Science for Social Good and the Data Science Corps, Findable Accessible Interoperable and Reusable (FAIR) data, and institutional change -- providing a platform for broadening participation in data science. Core to our progress in Programmatic Activities, Socio-Technical Shared Resources and Services, and Education and Workforce Development Activities will be a coordinated evaluation, opportunities for scaling regional successes to the national network of Big Data Hubs, and strategic efforts for Hub sustainability including the development of external funding streams. These efforts will be designed to enable community input and to strengthen channels for ongoing dialogue.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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