Research Innovations using Sensor Technology in Environmental Justice Communities (RISE Communities)
在环境正义社区(RISE 社区)中使用传感器技术的研究创新
基本信息
- 批准号:10532002
- 负责人:
- 金额:$ 11.8万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-01 至 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:Active LearningAddressAirAir PollutantsAir PollutionAwarenessCalibrationCardiopulmonaryCardiovascular DiseasesCollaborationsColorCommunitiesCommunity DevelopmentsCommunity of PracticeDataData AnalysesData CollectionDevelopmentDevicesEducational workshopEnvironmentEnvironmental HealthEquilibriumEvaluationFaceFacultyFosteringFoundationsHealthHomeIndustrializationInformation DisseminationJusticeKnowledgeLeadLearningMaintenanceMeasuresMonitorMorbidity - disease rateNeighborhoodsOutcomeParticipantParticulate MatterPersonsPoliciesPollutionProblem SolvingProcessPsyche structurePublic HealthResearchResearch DesignResearch MethodologyResearch PersonnelResource SharingRespiratory DiseaseRisk ReductionRoleSourceSurveysTeam ProcessTechnical ExpertiseTechnologyTimeTrainingTraining and EducationTranslatingTrustUnited Statesair monitoringbasecommunity engaged researchcommunity partnershipcostdata exchangedata managementdata to knowledgedata visualizationeducation researchenvironmental justiceevidence baseexpectationexperiencehuman diseaseimprovedinnovationlearning communitymembermodel designmortalityprogramsrecruitsensorsensor technologysocial learningsuccessvirtualwebinar
项目摘要
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.
项目摘要
低成本的空气传感器为研究人员和社区成员提供了巨大的机会
了解附近,室内和个人层面的空气污染暴露。虽然这些设备是
用户通常以易于使用的方式销售,面临多个技术挑战,包括维护,校准,
数据管理和数据可视化。这些问题通常会导致社区成员和研究人员
在社区参与研究(CENR)框架内形成社区学术伙伴关系。然而,
成功的社区学术伙伴关系需要时间和培训来设定期望,确定团队
会员角色,开发团队流程和共享心理模型,并设计一个平衡的项目
有学术研究人员期望的社区需求。认识到这两个机会
以及在CENR中使用低成本传感器的挑战,我们提出了一个创新的计划来促进成功
社区学术伙伴关系,并为研究团队配备技术技能和知识
成功利用低成本传感器在环境正义(EJ)社区中。我们的计划,标题为
在环境正义社区(崛起社区)中使用传感器技术的研究创新,
将使用面对面培训,体验式学习和社会来实现三个特定目标
学习社区。我们将从美国招募社区学术团队(每年5个)
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
评估(目标1)。此外,在使用低成本传感器及其在EJ社区中的应用方面的专家
将提供面对面的课程,讲习班和动手培训。这项培训将为团队配备
借助采用低成本传感器的研究方法中必不可少的基础知识,包括如何
为其研究问题选择适当的传感器,将其部署在自己的社区中,然后
将数据转换为动作(AIM 2)。在整个计划中,我们将培养一个实践社区
促进参与者和计划教师之间的持续互动,并将学习扩展到范围之外
人培训(目标3)。这些目的共同解决了环境健康研究的迫切需求
成功的社区学术合作伙伴关系解决了空气质量差异的居民
EJ社区。此外,崛起社区计划将促进EJ中传感器技术的使用
社区鼓励以数据驱动的行动改善公共卫生。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
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