SCC-IRG Track 1: Empowering Environmental Justice Communities with Smart and Connected Technology: Air and Noise Pollution, Wellbeing, and Social Relations in Times of Disruption

SCC-IRG 第 1 轨道：利用智能互联技术增强环境正义社区的能力：破坏时期的空气和噪音污染、福祉和社会关系

• 批准号: 1952223
• 负责人: Shelly Miller
• 金额: $ 180万
• 依托单位: University of Colorado at Boulder
• 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: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1952223&HistoricalAwards=false
• 关键词: SCC; IRG; Track; Empowering; Environmental

Major construction projects across the U.S. can have heavy impacts on communities that can last decades. These projects can generate noise and air pollution, disrupt traffic, and affect individual and community health and social structure. Environmental justice communities, or communities with large numbers of minority and/or low-income households, are disproportionately subject to negative health and environmental effects. This project partners with three environmental justice communities in Denver, Colorado to understand and help mitigate disruption caused by two major projects, including a highway reconstruction project and related neighborhood redevelopment. This effort will create a socio-technical system that equips community members with environmental sensors to monitor their personal environment (air and noise pollution) and a set of smartphone apps to report their individual wellbeing and social relations. The data reported through the sociotechnical system will allow us to 1) understand how community members are affected by planned environmental disruptions, 2) mitigate negative impacts of future planned disruptions, and 3) connect policymakers to data generated by citizens within local communities. By providing communities access to data with smart and connected cutting-edge tools and the ability to interact with these tools, the project aims to improve community members’ personal environment, wellbeing, and social relations, while enabling evidence-based responses to community members’ experiences and informing policy and decision makers in real-time.The project’s overarching goal is to improve the quality of life within environmental justice communities that are impacted by planned, major built environment disruptions, such as the construction of new highways and infrastructure projects. To meet this goal, a socio-technical system (STS) composed of environment sensors, smartphone platforms, and a data analytics server equipped with predictive modeling and visualization is being designed and integrated into communities in order to: 1) understand how individuals’ personal environment (air and noise pollution), wellbeing, and social relations is affected by a planned disruption; 2) mitigate negative impacts of a planned disruption; and 3) equip policy and decision makers with predictive information about potential negative impacts of upcoming disruptions to help them plan appropriate safeguards. This community-embedded research project will study two prototypical, planned built environment disruptions in Denver Colorado: the Central 70 project and the National Western Center redevelopment. The research collaboration proposed in this project is with three affected environmental justice communities: Globeville, Elyria-Swansea, and Cole. It is a partnership of the residents, local community organizations, government entities, and University of Colorado faculty in computer science, air quality engineering, sociology, and engineering education.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.

美国各地的重大建设项目可能会对社区产生持续数十年的严重影响。这些项目会产生噪音和空气污染，扰乱交通，并影响个人和社区的健康和社会结构。环境正义社区，或拥有大量少数族裔和/或低收入家庭的社区，不成比例地受到负面健康和环境影响。该项目与科罗拉多州丹佛市的三个环境正义社区合作，了解并帮助减轻两个主要项目造成的破坏，包括高速公路重建项目和相关社区重建项目。这项工作将创建一个社会技术系统，为社区成员配备环境传感器来监测他们的个人环境（空气和噪音污染），并配备一组智能手机应用程序来报告他们的个人福祉和社会关系。通过社会技术系统报告的数据将使我们能够 1) 了解社区成员如何受到计划中的环境破坏的影响，2) 减轻未来计划中的破坏的负面影响，3) 将政策制定者与当地社区内公民生成的数据联系起来。通过为社区提供智能互联的尖端工具访问数据以及与这些工具交互的能力，该项目旨在改善社区成员的个人环境、福祉和社会关系，同时对社区成员的经历做出基于证据的反应，并实时向政策和决策者提供信息。该项目的总体目标是改善环境正义社区的生活质量，这些社区受到有计划的重大建筑环境破坏的影响，例如修建新的高速公路和 基础设施项目。为了实现这一目标，我们正在设计一个由环境传感器、智能手机平台和配备预测建模和可视化的数据分析服务器组成的社会技术系统（STS），并将其集成到社区中，以便：1）了解个人的个人环境（空气和噪音污染）、福祉和社会关系如何受到有计划的破坏的影响； 2）减轻计划中断的负面影响； 3) 为政策和决策者提供有关即将发生的中断的潜在负面影响的预测信息，以帮助他们规划适当的保障措施。这个社区嵌入的研究项目将研究科罗拉多州丹佛市的两个典型的、有计划的建筑环境破坏：中央 70 项目和国家西部中心重建项目。该项目提议与三个受影响的环境正义社区进行研究合作：格洛贝维尔、伊利里亚-斯旺西和科尔。它是居民、当地社区组织、政府实体和科罗拉多大学计算机科学、空气质量工程、社会学和工程教育领域教师的合作伙伴关系。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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

Measuring Personal Air Pollution Exposure in Highly Polluted North Denver Neighborhoods

测量严重污染的北丹佛社区的个人空气污染暴露量

• 发表时间: 2022
• 作者: Clements, N.

Optimization of a Do-It-Yourself Air Cleaner Design to Reduce Residential Air Pollution Exposure for a Community Experiencing Environmental Injustices

• DOI: 10.3390/atmos14121734
• 发表时间: 2023-12-01
• 期刊: ATMOSPHERE
• 影响因子: 2.9
• 作者: Sankhyan，Sumit;Clements，Nicholas;Miller，Shelly L.
• 通讯作者: Miller，Shelly L.