SCC-PG: Understanding the most effective ways to engage community members in using technology and data as tools for influencing change in Wisconsin

个人和人口健康受到人们日常互动的环境的极大影响：他们生活，工作，学习，娱乐和崇拜的社区。该项目旨在提高对社区成员如何公平有效地使用技术和数据工具来描述自己社区环境的认识。其目标是帮助社区成员控制数据收集和分析过程，以揭示其健康的决定因素。这将同时扩大他们根据这些数据和分析采取行动的能力，促进社区一级的变革。出于这些目的，该项目将在威斯康星州的布朗县试点一个名为Streetwyze的智能手机应用程序，该应用程序使社区成员能够实时收集社区基础设施的数据和记录，无论是建筑环境（例如，过境系统）以及社会、经济和政策/治理基础设施（例如，社会资本、社会凝聚力、社会联系、归属感、信任的形式）。Streetwyze技术通过在城市与县之间、社区与城市之间、患者与提供者之间创建双向反馈回路和数据连接，使当地知识变得可访问，以便他们能够共同制定有助于确保共享利益的解决方案。利用Streetwyze技术，研究人员与公共卫生从业人员一起工作，将与社区领导人和利益相关者接触，以解决以下问题：1）我们如何才能最公平地支持社区成员参与技术驱动的社区级数据收集和分析？2)如何最有效地为特定社区的社区联盟定制Streetwyze应用程序？3)通过社区成员利益相关者使用Streetwyze应用程序，可以收集哪些关于地方-社区关系的信息/数据？4)如何为威斯康星州未来的其他社区/联盟扩展Streetwyze的实施？ 以及5）社区如何使用二级数据集（例如，收入，教育，职业和其他健康的社会决定因素），以补充社区层面的数据和见解的健康公平和健康不平等的威斯康星州？通过应用程序将社区生成的数据与“大数据”和预测数据分析相结合，城市和社区领导者（以及医院和卫生保健提供者）可以跟踪卫生公平指标;确定公平发展的热点和冷点;该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识产权进行评估来支持。优点和更广泛的影响审查标准。

Personal and population health are greatly influenced by the environments people interact with on a daily basis: the communities in which they live, work, learn, play, and worship. This project aims to improve understanding of how community members can equitably and effectively use technology and data tools to characterize their own community environments. Its goal is to aid community members in taking control of data collection and analysis processes that reveal determinants of their health. This promises to concomitantly expand their capacities to act on those data and analyses, contributing to community-level change. For these purposes, this project will pilot in Brown County, Wisconsin a smartphone app called Streetwyze that enables real-time data collection and documentation by community members of the community’s infrastructures, both built environment (e.g., transit systems) as well as social, economic and policy/governance infrastructures (e.g., forms of social capital, social cohesion, social connectedness, sense of belonging, trust). The Streetwyze technology makes local knowledge accessible by creating two-way feedback loops and data connections between cities and counties; neighborhoods and cities; and patients and providers, so that they can co-produce solutions that help secure shared benefits. Using the Streetwyze technology, researchers working together with public health practitioners will engage with community leaders and stakeholders to address questions including: 1) How can we most equitably support community member engagement in technology-driven, community-level data collection and analysis?; 2) How can the Streetwyze app be most effectively customized for community coalitions in particular communities?; 3) What information/data can be gathered about place-community relations through community-member stakeholder utilization of the Streetwyze app?; 4) How could Streetwyze implementation be scaled for future, additional communities/coalitions in Wisconsin?; and 5) How can communities use secondary data sets (e.g., on income, education, occupation, and other social determinants of health) to complement community-level data and insights on health equity and health inequality in Wisconsin? By integrating community-generated data with 'Big Data' and predictive data analysis through the app, cities and community leaders (as well as hospitals and health care providers) can track health equity indicators; identify hot spots and cool spots for equitable development; and predict trajectories of vulnerability.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.