BD Spokes:PLANNING: MIDWEST: Networked Resilience of Communities Facing Natural and Social Emergencies
BD Spokes:PLANNING: MIDWEST: Networked Resilience of Communities Facing Natural and Social Emergencies
批准号:
1636942
负责人:
Marshall Poole
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2018-08-31
中文摘要
民间社会面临的一个关键挑战是应对自然或人为灾害造成的紧急情况,如大洪水、龙卷风或公民骚乱。复原力是一个社区利用现有资源规划、应对和从不利情况中恢复的持续能力,至关重要,可以通过系统的科学过程加以改善。 该项目将调查大数据的潜力--通过集成和联网的数据资源加以利用,沿着适当的分析--以使准备、响应和恢复过程受益。 该项目将汇集州、县和市各级灾害响应领导人与数据科学家,制定一项计划,利用现有数据,并利用以前未开发的数据进行应急响应和恢复。 潜在的好处包括改进对事件及其影响的预测,更有效率和效益地利用资源,在应对期间加强对情况的了解,以及改进恢复规划。 该项目还将界定与数据共享和管理政策有关的问题,并可能导致制定新的政策模式。 经验丰富的应急管理人员和数据科学家之间的互动将揭示数据和工具的新组合,这些组合可以使规划,响应和恢复受益。 该项目还有可能在中西部几个州建立一个专注于恢复力和事件响应数据的实践社区。 该项目将应对几个关键挑战。 首先,所涉及的数据在数量、速度和复杂性方面都是“大”的。 其次,所有的紧急和灾难响应都是在美国本地控制的,并且每个管辖区传统上负责收集其自己的关于设备和资源的数据,这引入了跨地区和随时间收集的数据的格式和类型的可变性。 第三,跨司法管辖区的数据共享产生了与数据所有权和隐私有关的问题,需要制定政策和行政制度。 第四,大量数据是非结构化的。 为了应对这些挑战,该小组将召集一组有代表性的利益攸关方和专家,分五步制定有关综合数据资源对社区复原力的贡献的要求和建议。 利益相关者将包括应急响应和警务,公共卫生,州和地方政府,主题专家,数据科学家以及代表中西部几个州的分析师。与会者将确定关键问题、回答这些问题所需的数据类型以及哪些产出将有助于提高抗灾能力。 该团队还将确定一份全面的利益相关者名单,这些利益相关者应参与整个项目,并确定衡量项目成功与否的指标。 参与的州包括伊利诺伊州、印第安纳州和北达科他州。 该产品将是一项计划,旨在将这一努力推向下一阶段,即在灾害和紧急情况下实施社区复原力数据资源。
英文摘要
One of the critical challenges civil societies face is coping with emergencies due to natural or human-created disasters, such as major floods, tornadoes, or civic unrest. Resilience, the sustained ability of a community to utilize available resources to plan for, respond to, and recover from adverse situations, is critical and can be improved by a systematic, scientific process. This project will investigate the potential for Big Data-- harnessed through integrated and networked data resources, along with the proper analytics--to benefit preparation, response, and recovery processes. The project will bring together leaders in disaster response at state, county, and city levels with data scientists to craft a plan to capitalize on existing data and to utilize previously untapped data for emergency response and recovery. Potential benefits include improved forecasting of incidents and their impacts, more efficient and effective utilization of resources, enhanced situational awareness during response, and improved planning for recovery. The project will also define issues related to policies for data sharing and management and may lead to the development of new policy models. The interaction between experienced emergency management personnel and data scientists will disclose novel combinations of data and tools that can benefit planning, response, and recovery. The project also has the potential to develop a community of practice focused on data in resilience and incident response in several Midwestern states. The project will tackle several key challenges. First, the data involved are "big" in terms of volume, velocity, and complexity. Second, all emergency and disaster response is locally controlled in the U.S., and each jurisdiction has traditionally been responsible for collecting its own data regarding equipment and resources, which introduces variability in format and types of data collected across locales and over time. Third, data sharing across jurisdictions creates issues related to ownership of data and privacy that require the development of policies and administrative regimes. Fourth, a great deal of the data is unstructured. To address these challenges, the team will convene a representative set of stakeholders and experts in five step process to develop requirements and recommendations concerning the contributions an integrated data resource can make to community resilience. The stakeholders will include leaders in emergency response and policing, public health, state and local government, subject matter experts, data scientists, and analysts representing several Midwestern states. Participants will define key questions, the types of data needed to answer them, and what outputs would be contribute to resilience. The team will also identify a comprehensive list of stakeholders who should be involved in a full project and metrics for measuring success of the project. Participating states include Illinois, Indiana, and North Dakota. The product will be a plan set to take this effort to the next stage, implementation of data resources for community resilience in the face of disaster and emergencies.
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会议论文
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