SCC-Planning: Agent-based Scenario Planning for a Smart & Connected Community against Sea Level Rise in Tampa Bay

海平面上升和洪水对佛罗里达州和其他许多沿海州的社区和基础设施构成了重大风险。这项提案中的工作旨在让坦帕湾地区的各种利益相关者参与基于大数据分析和基于代理的建模的练习，这些练习基于大数据分析和基于代理的建模，模拟对海平面变化的反应的动态和不确定性。最终目标是通过召集这些利益攸关方并让他们共同努力，制定应对海平面上升可能造成的后果的弹性对策，从而创建一个更紧密联系的社区。除了将科学家、政府官员和企业主聚集在一起外，我们还将向公众宣传，教育K-12学生，通过开发的软件的简化版本，向少数群体宣传极端天气事件和飓风和山洪等自然灾害造成的海平面上升和沿海洪水造成的挑战。这项工作提出的前瞻性研究将为应对沿海洪水潜在的灾难性影响提供亟需的基础科学和技术。它将开发新的大数据分析技术和博弈论框架，以提供基于代理的决策模型，该模型将作为促进社区参与的情景规划软件的基础。拟议的决策模型将把海洋、大气和海洋科学、土木工程和环境工程、城市规划和社会科学等基础学科整合到多学科情景规划框架中。社区参与将从综合系统的角度进行处理。

Sea-level rise and flooding pose significant risks to communities and infrastructure in Florida and many other coastal states. The work in this proposal seeks to engage a variety of stakeholders in the Tampa Bay region, from citizens to businesses to government agencies, in exercises grounded in Big Data analytics and agent-based modeling that simulates the dynamics and uncertainty of responses to sea level change. The ultimate objective is to create a more connected community by convening these stakeholders and having them work together towards crafting resilient responses to the possible outcomes of sea level rise scenarios. In addition to bringing together scientists, government officials, and business owners, we will also inform the general public, educate K-12 students, outreach to the minority groups about the challenges resulting from sea level rise and coastal flooding due to extreme weather events and natural disasters such as hurricanes and flash floods through a simplified version of the developed software, which is fostered by attractive visual features.The prospective research proposed in this work will provide the much needed foundational science and technology for tackling the potentially disastrous effects of coastal flooding. It will develop novel Big Data analysis techniques and game-theoretic frameworks to deliver an agent based decision-making model which will underlie a scenario planning software for facilitating the community engagement. The proposed decision-making model will integrate fundamental disciplines including oceanic, atmospheric, and marine sciences, civil and environmental engineering, urban planning, and the social sciences into the multi-disciplinary scenario planning framework. The community engagement will be handled from an integrated systems perspective.