Collaborative Research: GCR: Convergent Anthropocene Systems (Anthems) - A System-of-Systems Paradigm

合作研究：GCR：趋同的人类世系统（颂歌）——系统的系统范式

• 批准号: 2317876
• 负责人: Patrick Bitterman
• 金额: $ 29.75万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2028-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2317876&HistoricalAwards=false
• 关键词: Collaborative; Research; GCR; Convergent; Anthropocene

Convergent Anthropocene Systems (Anthems) will develop a systems-of-systems (SoS) convergence paradigm that includes an SoS computational framework, an SoS decision-support system, and an SoS pedagogy, enabling diverse stakeholders to integratively address the suite of societal challenges of the Anthropocene (e.g., climate change and impacts, renewable energy, adaptive infrastructure, disasters, pandemics, food insecurity, biodiversity loss) and catalyzing a major transformation in national and global approaches to the science and engineering relevant to these challenges. This paradigm will be developed, implemented, and validated in close collaboration with the Chesapeake Bay Program (CBP), focusing on the Chesapeake Bay Watershed (CBW) region. The CBW is home to over 17 million people and the CBP stakeholder community will benefit from integrated modeling tools to examine synergies (e.g., nutrient reduction and flood risk mitigation) and tradeoffs (e.g., nutrient reduction and fish productivity) across multiple systems. Together, the CBW and the CBP provide a real-world testbed for the SoS convergence paradigm, enabling the project to bring together intellectually-diverse researchers to address multiple interdependent societal challenges (eutrophication, food and agriculture, and economic growth) by integrating across multiple systems (watershed, land use, economic, estuary and governance) and multiple disciplines (environmental engineering, city and regional planning, planning policy and design, civil engineering, geography, industrial and systems engineering, political economy and public policy).Anthems will develop, implement, and validate the SoS convergence paradigm for a set of interdependent societal challenges in the CBW region. In Phase 1, Anthems will integrate regional models of land use, watershed, and economics using the SoS computational framework, engage with stakeholders to evaluate regional scenarios, and begin the development and evaluation of the SoS decision-support system and SoS pedagogy. Phase 2 will extend the SoS computational framework by including estuary and governance models, while zooming in to Baltimore at the urban scale. One outcome of this project will be the capability to scale up the SoS paradigm to a larger family of societal challenges in the future, generalizing the approach to other regions and their associated urban areas. The SoS computational framework advances the existing systems engineering literature, addressing Anthropocene challenges. The SoS decision-support system provides a structured approach for translating SoS scenarios and computational results into real-world insights for a diverse set of stakeholders. The SoS pedagogy will begin to train a new generation of Anthropocene System Integrators (including students, academics, practitioners and stakeholders) to conceptualize Anthropocene challenges holistically, think coherently in terms of common ontological constructs, produce and simulate SoS computational models, facilitate decision-support conversations filled with coherent, data-driven, real-world insights, and use these insights to once again conceptualize societal problems. The effectiveness of the SoS pedagogy will be studied using the science-of-team-science-based antecedent-process-output evaluation model, thereby advancing the study of convergence processes and outcomes.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.

Convergent Anthropocene Systems (Anthems) 将开发一种系统的系统 (SoS) 融合范式，其中包括 SoS 计算框架、SoS 决策支持系统和 SoS 教学法，使不同的利益相关者能够综合应对一系列社会挑战人类世（例如气候变化及其影响、可再生能源、适应性基础设施、灾害、流行病、粮食不安全、生物多样性丧失）并促进重大转变与这些挑战相关的国家和全球科学和工程方法。该范例将与切萨皮克湾计划 (CBP) 密切合作开发、实施和验证，重点关注切萨皮克湾流域 (CBW) 地区。 CBW 拥有超过 1700 万人，CBP 利益相关者社区将受益于综合建模工具，以检查多个系统的协同作用（例如，营养减少和洪水风险缓解）和权衡（例如，营养减少和鱼类生产力）。 CBW 和 CBP 共同为 SoS 融合范式提供了一个现实世界的测试平台，使该项目能够汇集知识多元化的研究人员，通过整合多个领域来解决多个相互依存的社会挑战（富营养化、粮食和农业以及经济增长）。系统（流域、土地利用、经济、河口和治理）和多学科（环境工程、城市和区域规划、规划政策和设计、土木工程、地理学、工业和系统工程、政治经济学和公共Anthems 将开发、实施和验证 SoS 融合范式，以应对 CBW 地区一系列相互依赖的社会挑战。在第一阶段，Anthems 将使用 SoS 计算框架整合土地利用、流域和经济的区域模型，与利益相关者合作评估区域情景，并开始开发和评估 SoS 决策支持系统和 SoS 教学法。第二阶段将通过纳入河口和治理模型来扩展 SoS 计算框架，同时扩大到巴尔的摩的城市规模。该项目的成果之一是能够将 SoS 范式扩展到未来更大范围的社会挑战，并将该方法推广到其他地区及其相关城市地区。 SoS 计算框架推进了现有的系统工程文献，解决了人类世的挑战。 SoS 决策支持系统提供了一种结构化方法，用于将 SoS 场景和计算结果转化为不同利益相关者的现实世界见解。 SoS 教学法将开始培训新一代人类世系统集成商（包括学生、学者、从业者和利益相关者），以全面概念化人类世挑战，根据常见本体论结构进行连贯思考，生成和模拟 SoS 计算模型，促进决策支持对话充满了连贯的、数据驱动的、现实世界的见解，并利用这些见解再次概念化社会问题。 SoS 教学法的有效性将使用基于团队科学的前因过程输出评估模型进行研究，从而推进趋同过程和结果的研究。该奖项反映了 NSF 的法定使命，并被认为是值得的通过使用基金会的智力优势和更广泛的影响审查标准进行评估来提供支持。