Planning Grant: Engineering research center for managing complex socio-environmental problems using a generic, tiered system-of-systems (GTSoS) modeling and data-science framework

规划拨款：工程研究中心，使用通用的分层系统（GTSoS）建模和数据科学框架来管理复杂的社会环境问题

• 批准号: 1937012
• 负责人: John Little
• 金额: $ 9.97万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1937012&HistoricalAwards=false
• 关键词: Planning; Grant; Engineering; research; center

Complex socio-environmental problems, including those associated with coastal and inland flooding, the food/energy/water nexus, and interdependent infrastructure systems, are among the greatest challenges faced by humanity. Resilience and sustainability are often used to frame and study these families of ?wicked? problems. To resolve any of these challenges, solutions must consider many complex and interrelated socio-environmental systems. Collectively, these societal challenges, which can only be tackled by effective interdisciplinary teams, require a convergence research approach. This planning grant is guided by a vision for an Engineering Research Center (ERC) that aims to manage several families of complex socio-environmental problems using a generic, tiered system-of-systems (GTSoS) modeling and data-science framework. The comprehensive interdisciplinary approach can link domains that do not always collaborate easily (engineering, natural sciences, and social sciences) in new and highly productive ways. In addition, productive and durable transdisciplinary engagement and collaborations among researchers and a broad cross section of stakeholders will support decision-making that improves collective governance for some of the world's most difficult problems.The planning project participants will include biophysical scientists and engineers, social scientists as well as computer and data scientists. Collectively, this group represents the multiple knowledge domains, including water resources, ecology, agriculture, systems engineering, economics, anthropology, health, and education, necessary to address complex socio-environmental problems. The novel GTSoS framework, which fuses data science, domain science, and systems modeling, is designed to be both scalable and extensible, capturing the dynamics of individual systems as well as the complex dynamics of interconnected socio-environmental systems.To prepare the foundation of the ERC, the planning team will engage with many experts and stakeholders in a series of virtual meetings and in-person workshops which will generate knowledge and insights that will enable the successful design of the ERC. The workshops will also facilitate the emergence of strong and diverse teams with appropriate institutional expertise that support the implementation and management of the ERC. The ERC will initially focus on two core areas, one of which addresses the methodological approach, while the other tackles food/energy/water systems. The methodological core generalizes the approach to solving complex socio-environmental problems and allows additional families of problems to be added as the ERC matures. Effective interdisciplinary teams will be achieved by leveraging organizational design with the appropriate deployment of collaborative technology to overcome disciplinary and geographical boundaries and to ensure a culture of deep collaboration and inclusion. Principles and methods from decision analysis, multi-scale decision theory, and social choice theory will support decision-making, effectively enhancing leadership and management of the ERC. A primary workshop will have a science and modeling component to resolve key challenges in the GTSoS modeling and data-science framework and a process component to reveal how the organizational structure of the ERC can be optimized to accelerate advancement and discovery. A final synthesis workshop will develop an effective ERC structure, as well as detailed outlines of the ERC proposal and a manuscript on lessons learned.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.

复杂的社会环境问题，包括与沿海和内陆洪水、粮食/能源/水的关系以及相互依存的基础设施系统有关的问题，是人类面临的最大挑战之一。弹性和可持续性经常被用来框架和研究这些家庭？邪恶吗问题为了解决这些挑战，解决方案必须考虑到许多复杂和相互关联的社会环境系统。总的来说，这些社会挑战只能通过有效的跨学科团队来解决，需要一种融合的研究方法。该规划补助金由工程研究中心（ERC）的愿景指导，该中心旨在使用通用的分层系统（GTSoS）建模和数据科学框架来管理多个复杂的社会环境问题。综合的跨学科方法可以以新的和高效的方式将不容易合作的领域（工程，自然科学和社会科学）联系起来。此外，研究人员和广泛的利益攸关方之间富有成效和持久的跨学科参与和合作将支持决策，改善对世界上一些最困难问题的集体治理。规划项目参与者将包括生物物理科学家和工程师，社会科学家以及计算机和数据科学家。总的来说，这一组代表了多个知识领域，包括水资源，生态，农业，系统工程，经济学，人类学，卫生和教育，以解决复杂的社会环境问题。新的GTSoS框架融合了数据科学、领域科学和系统建模，旨在实现可扩展性和可扩展性，捕捉单个系统的动态以及相互关联的社会环境系统的复杂动态。规划小组将与许多专家和利益攸关方举行一系列虚拟会议，个人研讨会，将产生知识和见解，使ERC的成功设计。这些讲习班还将促进形成具有适当机构专门知识的强大和多样化的团队，以支持紧急救济协调员的实施和管理。紧急救济协调员最初将侧重于两个核心领域，其中一个涉及方法学方法，另一个涉及粮食/能源/水系统。方法论的核心概括了解决复杂社会环境问题的方法，并允许随着ERC的成熟而增加更多的问题。有效的跨学科团队将通过利用组织设计和适当部署协作技术来克服学科和地理界限，并确保深度协作和包容的文化来实现。决策分析、多尺度决策理论和社会选择理论的原理和方法将为决策提供支持，有效地加强ERC的领导和管理。主要研讨会将有一个科学和建模组件，以解决GTSoS建模和数据科学框架中的关键挑战，以及一个流程组件，以揭示如何优化ERC的组织结构，以加速进步和发现。最后的综合研讨会将制定一个有效的ERC结构，以及ERC提案的详细大纲和经验教训的手稿。该奖项反映了NSF的法定使命，并被认为值得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。

项目成果

Integrated assessment across building and urban scales: A review and proposal for a more holistic, multi-scale, system-of-systems approach

跨建筑和城市尺度的综合评估：对更全面、多尺度、系统系统方法的审查和建议

• DOI: 10.1016/j.scs.2022.103915
• 发表时间: 2022
• 期刊: Sustainable Cities and Society
• 影响因子: 11.7
• 作者: Bi, Chenyang;Little, John C.
• 通讯作者: Little, John C.

Applying a Coupled Hydrologic-Economic Modeling Framework: Evaluating Alternative Options for Reducing Impacts for Downstream Locations in Response to Upstream Development

应用水文经济耦合建模框架：评估减少下游地区影响以应对上游开发的替代方案

• DOI: 10.3390/su14116630
• 发表时间: 2022
• 期刊: Sustainability
• 影响因子: 3.9
• 作者: Amaya, Maria;Duchin, Faye;Hester, Erich;Little, John C.
• 通讯作者: Little, John C.

A Coupled Hydrologic-Economic Modeling Framework for Scenario Analysis

用于情景分析的水文经济耦合建模框架

• DOI: 10.3389/frwa.2021.681553
• 发表时间: 2021
• 期刊: Frontiers in Water
• 影响因子: 2.9
• 作者: Amaya, Maria;Baran, Ayden;Lopez-Morales, Carlos;Little, John C.
• 通讯作者: Little, John C.

Applying a coupled hydrologic-economic modeling framework: Evaluating conjunctive use strategies for alleviating seasonal watershed impacts caused by agricultural intensification

• DOI: 10.3389/frwa.2022.913501
• 发表时间: 2022-08
• 作者: M. Amaya;F. Duchin;E. Hester;John C. Little

Convergent Anthropocene Systems: Towards an Agile, System-of-Systems Engineering Approach

融合人类世系统：迈向敏捷的系统工程方法

• DOI: 10.1109/sose55472.2022.9812683
• 发表时间: 2022
• 期刊: 17th Annual System of Systems Engineering Conference (SOSE
• 作者: Farid, Amro M.;Little, John C.
• 通讯作者: Little, John C.