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

融合人类世系统（Anthems）将开发一个系统的系统（SoS）融合范式，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解决人类世的一系列社会挑战（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），并促进国家和全球应对这些挑战的科学和工程方法的重大转变。该范例将与切萨皮克湾计划（CBP）密切合作，重点关注切萨皮克湾流域（CBW）地区。CBW拥有超过1700万人口，CBP利益相关者社区将受益于综合建模工具，以检查协同作用（例如，养分减少和洪水风险减轻）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，使该项目能够将智力多样化的研究人员聚集在一起，以应对多种相互依存的社会挑战（富营养化、粮食和农业以及经济增长）（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，工业和系统工程，政治经济学和公共政策）。国歌将制定，实施，并验证针对生化武器地区一系列相互依存的社会挑战的SoS融合范式。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。第二阶段将通过包括河口和治理模型来扩展SoS计算框架，同时在城市尺度上放大到巴尔的摩。该项目的成果之一是能够在未来将SoS范式扩展到更大的社会挑战家庭，将该方法推广到其他地区及其相关的城市地区。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的方法，用于将SoS场景和计算结果转化为各种利益相关者的真实世界见解。SoS教学法将开始培训新一代的人类世系统集成者（包括学生，学者，从业者和利益相关者）整体地概念化人类世的挑战，在共同的本体论结构方面连贯地思考，产生和模拟SoS计算模型，促进决策支持对话，充满连贯，数据驱动，现实世界的见解，并利用这些见解来再次概念化社会问题。该奖项反映了NSF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。

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.