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使社区成员能够回答他们可能对与他们居住的地方有关的疾病所提出的一些问题。通过与居民合作分析和解释官方数据，居民自己对健康和环境的见解将通过他们正在帮助产生的科学而得到增强。该项目将建立研究人员、社区和机构的能力，以便在项目结束后继续开展环境卫生正义和卫生公平方面的协作科学工作。该项目的成果将通过公共活动、新闻发布会、社交媒体、博客和文章传播，其中居民是主要发言人。项目团队将首先分析来自政府来源的数据，如癌症登记和医疗补助数据库，以产生有关健康和疾病模式的初步健康数据。在与社区合作的情况下，将举行开放的协作讲习班，当地人将讨论最初的数据，并提出额外的健康问题，供小组尝试用数据回答，然后研究人员将在后续讲习班中分享这些数据。这种反复的研讨会方法使当地社区成员能够参与分析和解释政府生成的卫生数据，使科学与他们的生活更加相关。当地居民可以利用这些公共讲习班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。这种利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复制到许多类型的数据和各种社区问题上。为了促进这一点，最终项目交付的是一份在线手册，解释其他州或地区的居民如何复制这一过程，从政府来源产生他们自己的数据分析。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。