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

基本信息

  • 批准号:
    2317876
  • 负责人:
  • 金额:
    $ 29.75万
  • 依托单位:
  • 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

项目摘要

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) 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,灾难,大流行病,粮食不安全,生物多样性丧失)以及与这些挑战相关的科学和工程的国家和全球方法的重大转变。该范式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1700万人的所在地,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,减少营养和洪水风险降低)和折衷方案(例如,营养降低和降低营养和鱼类生产力)。 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)。在第1阶段,国歌将使用SOS计算框架整合土地使用,分水岭和经济学的区域模型,与利益相关者互动以评估区域情景,并开始对SOS决策支持系统和SOS教学的开发和评估。第2阶段将通过包括河口和治理模型在内,在城市规模上放大到巴尔的摩,将扩展SOS计算框架。该项目的一个结果将是将来将SOS范式扩展到更大的社会挑战家族,从而推广到其他地区及其相关城市地区的方法。 SOS计算框架推进了现有的系统工程文献,以应对人类世的挑战。 SOS决策支持系统提供了一种结构化方法,可将SOS场景和计算结果转化为现实世界中的见解,以供各种利益相关者组成。 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概念化社会问题。 SOS教育学的有效性将使用基于团队科学科学科学的先进处理评估模型进行研究,从而进步,从而进行了融合过程和成果的研究。该奖项反映了NSF的法定任务,并被认为是通过基金会的智力功能和广泛影响的评估来评估CRETERIA的评估。

项目成果

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Patrick Bitterman其他文献

Recognizing political influences in participatory social-ecological systems modeling
认识参与式社会生态系统建模中的政治影响
  • DOI:
    10.18174/sesmo.18509
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    T. Lim;P. Glynn;G. Shenk;Patrick Bitterman;J. Guillaume;John C. Little;D. Webster
  • 通讯作者:
    D. Webster
A coupled agent-based model of farmer adaptability and system-level outcomes in the context of climate change
Constraints on farmer adaptability in the Iowa-Cedar River Basin
爱荷华-雪松河流域农民适应性的限制

Patrick Bitterman的其他文献

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