Collaborative Research: Science with the People: Collaborative analysis of government data for policy reach and structural change in environmentally contested regions

合作研究：科学与人民：对政府数据进行合作分析，以了解环境争议地区的政策影响力和结构变化

• 批准号: 2318239
• 负责人: Michelle Smith
• 金额: $ 37.91万
• 依托单位: Dillard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2318239&HistoricalAwards=false
• 关键词: Collaborative; Research; Science; People; analysis

This project supports residents to use government data to document and examine patterns of health and wellbeing in their communities. Using health data that has been collected by government agencies enables community members to answer some of the questions they may have about illness in relation to the places they live. By working with residents to analyze and interpret official data, the residents’ own insights about their health and environment will be augmented by the science they are helping to produce. The project will build researcher, community, and institutional capacity to continue collaborative science work on environmental health justice and health equity beyond the project. The results of the project will be disseminated by public events in which residents are key speakers as well as in press conferences, social media, blogs, and articles. The project team will initially analyze data from government sources, such as cancer registries and Medicaid databases, to produce initial health data about patterns of health and illness. In partnership with communities, open collaborative workshops will be held where local people will discuss the initial data and ask additional health questions for the team to try to answer with the data, which the researchers will then share in a follow-up workshop. This iterative workshop method enables local community members to participate in the analyses and interpretation of government-generated health data, making the science more relevant to their lives. The scientific reports produced from these public workshops may be used by local residents to support their health claims towards regulatory and policy change. This process of using community-based collaborative workshops to analyze and interpret government data to answer local questions can be replicated for many kinds of data and a variety of community questions. To facilitate this, the final project deliverable is an online manual explaining how residents in other states or regions can replicate this process to produce their own data analyses from government sources.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.

该项目支持居民使用政府数据来记录和检查其社区的健康和福祉模式。使用政府机构收集的健康数据，社区成员可以回答他们可能提出的一些与他们居住地相关的疾病问题。通过与居民合作分析和解释官方数据，居民对自己的健康和环境的见解将因他们所帮助产生的科学而得到增强。该项目将建设研究人员、社区和机构的能力，以便在项目之外继续开展环境健康正义和健康公平方面的合作科学工作。该项目的结果将通过居民作为主要发言人的公共活动以及新闻发布会、社交媒体、博客和文章进行传播。 该项目团队将首先分析来自政府来源的数据，例如癌症登记处和医疗补助数据库，以生成有关健康和疾病模式的初始健康数据。将与社区合作，举办开放式合作研讨会，当地人将讨论初始数据，并向团队提出其他健康问题，以尝试用数据来回答，然后研究人员将在后续研讨会上分享这些问题。这种迭代研讨会方法使当地社区成员能够参与对政府生成的健康数据的分析和解释，使科学与他们的生活更加相关。当地居民可以使用这些公共研讨会产生的科学报告来支持他们对监管和政策变化的健康主张。这种使用基于社区的协作研讨会来分析和解释政府数据以回答当地问题的过程可以针对多种数据和各种社区问题进行复制。为了促进这一目标，最终的项目交付成果是一份在线手册，解释其他州或地区的居民如何复制此过程，以从政府来源生成自己的数据分析。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。