SCC-IRG Track 2: Leveraging Smart Technologies and Managing Community Resilience through Networked Communities and Cross-Sector Partnerships

SCC-IRG 第 2 轨道：利用智能技术并通过网络社区和跨部门合作伙伴关系管理社区复原力

• 批准号: 1952792
• 负责人: Yue Ge
• 金额: $ 122.5万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1952792&HistoricalAwards=false
• 关键词: SCC; IRG; Track; Leveraging; Smart

This Smart & Connected Communities grant will leverage existing community partnerships and resources and evaluate the information technology applications aided by artificial intelligence in enhancing community resilience management. The east central Florida region (including 8 counties and 78 member towns/cities) is selected as a testbed for this project to improve community resilience practices through a regional data platform – Community Resilience Data Depot (CoRD2). Built on an interdisciplinary team with synergistic contributions from Emergency Management, Public Administration, Geography, Computer Science, Civil Engineering, and Operation Management, the project aims to augment the information and communication capacity of the east central Florida region and the Orlando metropolitan area to the next level via a sustainable partnership. The metrics to assess the extent and speed of achieving appropriate post-event functionality will help address a nationwide community capacity building need to quantitatively evaluate resilience increases by public-private partnerships. The research design assessing resilience changes will help decision makers in governments, businesses, and nonprofits to obtain a deeper understanding of how artificial intelligence-aided information technologies can advance collective decision making to reduce community vulnerability and enhance resilience.The research involves developing an integrative framework to evaluate smart technology advances that foster community partnerships and enhance community connectedness in resilience management; filling research gaps in modeling community partnership characteristics and examining design and implementation networks among cross-sector partners for community resilience efforts; creating a holistic approach to comparing community resilience functionality changes by research intervention and an actual hazard event; and building CoRD2 for resilience data sharing and integration among public, private, and nonprofit sectors to support real-time collective decision making. The novel methodologies include collecting and calibrating multi-dimensional data from behavioral surveys, policy and plan documents, social media posts, and an in-house drill with pre-/post-surveys; creating converged metrics for evaluating community resilience from an organizational perspective; providing next-generation computational solutions for processing disaster response data flowing in the regional data platform as peak influxes; developing real-time machine learning algorithms and software capacities for social media big data analytics (texts and images); and modeling organizational resilience capacity and multidimensional community resilience functionality.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.

这项智能互联社区赠款将利用现有的社区伙伴关系和资源，并评估人工智能辅助下的信息技术应用，以加强社区弹性管理。佛罗里达州中东部地区（包括8个县和78个成员镇/市）被选为该项目的试验田，通过区域数据平台-社区恢复力数据仓库（CoRD2）改善社区恢复力实践。该项目由应急管理、公共管理、地理、计算机科学、土木工程和运营管理等跨学科团队共同组成，旨在通过可持续的合作伙伴关系，将佛罗里达中东部地区和奥兰多市区的信息和通信能力提升到一个新的水平。评估实现适当灾后功能的程度和速度的指标将有助于满足全国社区能力建设的需求，以定量评估公私伙伴关系增加的抗灾能力。评估复原力变化的研究设计将帮助政府、企业和非营利组织的决策者更深入地了解人工智能辅助信息技术如何促进集体决策，以减少社区脆弱性和增强复原力。该研究涉及开发一个综合框架，以评估智能技术的进步，促进社区伙伴关系，加强复原力管理中的社区连通性；填补社区伙伴关系特征建模方面的研究空白，并检查社区复原力工作中跨部门合作伙伴之间的设计和实施网络；创建一个整体方法来比较研究干预和实际灾害事件造成的社区恢复能力功能变化；建立CoRD2，促进公共、私营和非营利部门之间的弹性数据共享和整合，以支持实时集体决策。新方法包括从行为调查、政策和计划文件、社交媒体帖子和调查前/后的内部演习中收集和校准多维数据；创建从组织角度评估社区恢复力的聚合指标；提供下一代计算解决方案，以处理在区域数据平台中作为峰值流入的灾害响应数据；为社交媒体大数据分析（文本和图像）开发实时机器学习算法和软件能力；建立组织弹性能力和多维社区弹性功能模型。该奖项反映了美国国家科学基金会的法定使命，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。

项目成果

Network Governance for Coordinated Disaster Response

协调灾害响应的网络治理

• DOI: 10.37808/paq.46.4.2
• 发表时间: 2022
• 期刊: Public Administration Quarterly
• 作者: Kapucu, Naim;Okhai, Ratna;Hu, Qian
• 通讯作者: Hu, Qian

The use of documentary data for network analysis in emergency and crisis management

• DOI: 10.1007/s11069-022-05681-5
• 发表时间: 2022-10
• 期刊: Natural Hazards
• 影响因子: 3.7
• 作者: N. Kapucu;Ratna Okhai;Yue Ge;C. Zobel

Organizational Resilience to Disruption Risks: Developing Metrics and Testing Effectiveness of Operational Strategies

组织对颠覆风险的抵御能力：制定指标并测试运营策略的有效性

• 发表时间: 2022
• 期刊: Risk analysis
• 影响因子: 3.8
• 作者: Baghersad, Milad;Zobel, Christopher W.
• 通讯作者: Zobel, Christopher W.

Analysis of Orange County 311 System service requests during the COVID-19 pandemic

COVID-19 大流行期间奥兰治县 311 系统服务请求分析

• 发表时间: 2021
• 期刊: Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management
• 作者: Pamukcu, D.;Zobel, C.W.;Ge, Y.
• 通讯作者: Ge, Y.

NoisyOTNet: A Robust Real-Time Vehicle Tracking Model for Traffic Surveillance

NoisyOTNet：用于交通监控的鲁棒实时车辆跟踪模型

• DOI: 10.1109/tcsvt.2021.3086104
• 发表时间: 2022-04
• 期刊: IEEE Transactions on Circuits and Systems for Video Technology
• 影响因子: 8.4
• 作者: Weiwei Xing;Yuxiang Yang;Shunli Zhang;Qi Yu;Liqiang Wang
• 通讯作者: Liqiang Wang