Research Innovations using Sensor Technology in Environmental Justice Communities (RISE Communities)

项目总结 低成本的空气传感器为研究人员和社区成员提供了更好的机会 了解邻里、室内和个人层面的空气污染暴露。尽管这些设备是 通常以易于使用的方式销售，用户面临多种技术挑战，包括维护、校准、 数据管理和数据可视化。这些问题经常导致社区成员和研究人员 在社区参与研究(Cenr)框架内建立社区-学术伙伴关系。然而， 成功的社区-学术合作需要时间和培训来设定期望，确定团队 成员角色，开发团队流程和共享的心智模型，并设计一个平衡 社区的需求和学术研究人员的期望。认识到这两个机会 和在cenr使用低成本传感器的挑战，我们提出了一个创新的计划，以促进成功 社区-学术伙伴关系，并为研究团队配备技术技能和知识，以 成功地在环境正义(EJ)社区中使用低成本传感器。我们的节目名为 在环境正义社区(RISE社区)中使用传感器技术的研究创新， 将使用面对面培训、体验式学习和社交课程相结合的方式实现三个具体目标 学习型社区。我们将从美国各地招募社区学术团队(每年5个)，并 提供专门的时间和培训，以建立信任、设定期望、促进可持续性并参与 评价(目标1)。此外，低成本传感器的使用及其在EJ社区的应用方面的专家 将提供面对面的课程、讲习班和实际使用培训。这次训练将为球队提供装备 在使用低成本传感器的研究方法方面具有必要的基础知识，包括如何 为他们的研究问题选择合适的传感器(S)，将他们部署在自己的社区，并 将数据转化为行动(目标2)。在整个计划中，我们将培养一个实践社区，以 促进参与者和计划教职员工之间的持续互动，并将学习扩展到 人员培训(目标3)。总而言之，这些目标解决了环境健康研究的迫切需要 成功的社区-学术合作伙伴关系，以解决居民在空气质量方面的差异 EJ社区。此外，Rise社区计划将促进传感器技术在EJ的使用 鼓励社区采取数据驱动的行动，以改善公共卫生。

PROJECT SUMMARY Low-cost air sensors offer tremendous opportunities for researchers and community members to better understand air pollution exposures at neighborhood, indoor, and personal levels. Though these devices are often marketed as easy-to-use, users face multiple technical challenges including maintenance, calibration, data management, and data visualization. These issues often lead community members and researchers to form community-academic partnerships within a community-engaged research (CEnR) framework. However, successful community-academic partnerships require time and training to set expectations, identify team member roles, develop team processes and shared mental models, and design a project that balances the needs of a community with the expectations of academic researchers. In recognition of both the opportunities and challenges of using low-cost sensors in CEnR, we propose an innovative program to foster successful community-academic partnerships and equip research teams with the technical skills and knowledge to successfully utilize low-cost sensors in environmental justice (EJ) communities. Our program, entitled Research Innovations using Sensor Technology in Environmental Justice Communities (RISE Communities), will accomplish three specific aims using a combination of in-person training, experiential learning, and a social learning community. We will recruit community-academic teams (5 per year) from throughout the US and provide dedicated time and training to build trust, set expectations, promote sustainability, and engage in evaluation (Aim 1). In addition, experts in the use of low-cost sensors and their application in EJ communities will provide in-person courses, workshops, and hands-on training in their use. This training will equip teams with the requisite foundational knowledge in research methods employing low-cost sensors including how to select the appropriate sensor(s) for their research questions, deploy them in their own communities, and translate the data to action (Aim 2). Throughout the program we will cultivate a community of practice to facilitate continued interaction among participants and program faculty and extend the learning beyond the in- person training (Aim 3). Collectively, these aims address the urgent need in environmental health research for successful community-academic partnerships to address disparities in air quality experienced by residents of EJ communities. In addition, the RISE Communities program will promote the use of sensor technology in EJ communities to encourage data-driven action to improve public health.