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

汇聚的人类世系统(ANEMS)将开发一种包括SOS计算框架、SOS决策支持系统和SOS教学方法的SOS系统(SOS)融合范例，使不同的利益攸关方能够综合应对人类世的一系列社会挑战(例如，气候变化和影响、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)，并促进国家和全球对与这些挑战相关的科学和工程方法的重大变革。这一模式将与切萨皮克湾计划(CBP)密切合作开发、实施和验证，重点是切萨皮克湾流域(CBW)地区。CBW是1700多万人的家园，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效应(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试验台，使该项目能够将智力不同的研究人员聚集在一起，通过跨多个系统(分水岭、土地利用、经济、河口和治理)和多个学科(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、政治经济学和公共政策)来解决多种相互依赖的社会挑战。在第一阶段，国歌将使用SOS计算框架整合土地利用、流域和经济的区域模型，与利益攸关方接触评估区域情景，并开始开发和评估SOS决策支持系统和SOS教学方法。第二阶段将扩展SOS计算框架，包括河口和治理模型，同时放大到城市规模的巴尔的摩。该项目的一个成果将是能够在未来将SOS范例扩大到更大的一类社会挑战，将这种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情景和计算结果转化为各种利益攸关方的现实世界见解。SOS教学法将开始培训新一代人类世系统集成者(包括学生、学者、从业者和利益相关者)，以整体地概念化人类世的挑战，根据共同的本体论概念连贯地思考，产生和模拟SOS计算模型，促进充满连贯的、数据驱动的、真实世界的见解的决策支持对话，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团队科学为基础的先行过程输出评估模型进行研究，从而推进收敛过程和结果的研究。该奖项反映了NSF的法定使命，并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，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.