Planning Grant: Engineering Research Center for Rapid Evaluation of Coastal Ocean and Nearshore - RECON

规划资助：沿海海洋和近岸快速评估工程研究中心 - RECON

• 批准号: 2123794
• 负责人: Herbert Tanner
• 金额: $ 9.96万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2123794&HistoricalAwards=false
• 关键词: Planning; Grant; Engineering; Research; Center

The Planning Grants for Engineering Research Centers competition was run as a pilot solicitation within the ERC program. Planning grants are not required as part of the full ERC competition, but intended to build capacity among teams to plan for convergent, center-scale engineering research.The Organization for Economic Co-operation and Development (OECD) estimates that the ocean economy can add up to $1.5 trillion of value to the global economy by 2030, doubling their 2010 levels. The data sets that our envisioned ERC can produce can help policy and decision-making through a more thorough assessment of the impact of human activity and economic development on the coastal environment. The technology that can be developed can enable faster, safer, and more effective emergency response, and search-and-rescue operations. Specifically for the activities of this planning grant, we believe that they can contribute uniquely to workforce development, by offering a unique opportunity to participating students across institutions for inspiring, hands-on applied field work, as well as for networking and mentoring with academic, industry, and community leaders.Coastal communities are heavily dependent and reliant on the nearby complex and dynamic marine geo-eco systems, whose extent, structure, interactions, and function are not fully understood. What is more, estuarine and coastal regions in the US currently face multiple additional marine spatial planning issues and challenges, including the effects of episodic storms, climate change, and other stressors. Obtaining scientific insights on the morphology and evolution of these natural multi-scale dynamical systems, and how they are influenced by human activity, will help assess the impact of long-term coastal and offshore development projects. It will also enable us to facilitate a more timely, coordinated, and effective response to natural and man-made emergencies and disasters. The envisioned RECON ERC is intended to help create the science to understand the underlying processes; develop the technology to efficiently and accurately observe, measure and record the associated phenomena; engage with industry to transition the technology to the field and innovate with new products and services; partner with local government to help them effectively leverage the technology and serve their communities; reach out to the communities to understand better their perspective and problems, and give them a more complete picture of how automation technology and engineering can contribute to their solution; and finally, educate the new generation of leaders and practitioners who will field, maintain, and grow this new technology-driven industry segment.This project is jointly funded by the Engineering Education and Centers (EEC) Division and the Established Program to Stimulate Competitive Research (EPSCoR).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.

工程研究中心规划补助金竞赛是作为 ERC 计划内的试点征集活动进行的。作为整个 ERC 竞赛的一部分，规划拨款不是必需的，而是旨在培养团队之间的能力，以规划融合的、中心规模的工程研究。经济合作与发展组织 (OECD) 估计，海洋经济可以增加到 2030 年，全球经济价值将达到 1.5 万亿美元，是 2010 年水平的两倍。我们设想的 ERC 可以生成的数据集可以通过更全面地评估人类活动和经济发展对沿海环境的影响来帮助政策和决策。可以开发的技术可以实现更快、更安全、更有效的应急响应和搜救行动。特别是对于这项规划补助金的活动，我们相信它们可以为劳动力发展做出独特的贡献，为跨机构的参与学生提供独特的机会，进行鼓舞人心的实践应用现场工作，以及与学术界、学术界和学术界建立联系和指导。沿海社区严重依赖和依赖附近复杂且动态的海洋地理生态系统，但其范围、结构、相互作用和功能尚不完全清楚。此外，美国的河口和沿海地区目前面临着多种额外的海洋空间规划问题和挑战，包括偶发风暴、气候变化和其他压力因素的影响。获得有关这些自然多尺度动力系统的形态和演化以及它们如何受到人类活动影响的科学见解，将有助于评估长期沿海和近海开发项目的影响。它还将使我们能够更加及时、协调和有效地应对自然和人为的紧急情况和灾害。设想的 RECON ERC 旨在帮助创建科学来理解底层过程；开发有效、准确地观察、测量和记录相关现象的技术；与行业合作，将技术转移到现场，并通过新产品和服务进行创新；与当地政府合作，帮助他们有效利用技术并服务社区；接触社区，更好地了解他们的观点和问题，并让他们更全面地了解自动化技术和工程如何为他们的解决方案做出贡献；最后，教育新一代领导者和从业者，他们将开发、维护和发展这一新技术驱动的行业领域。该项目由工程教育和中心 (EEC) 部门以及刺激竞争研究既定计划共同资助(EPSCoR)。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。