SCC-PG WECAN Smart Toolkit: Wellbeing Enhancement through Crowd-sourced Assessment of Neighborhood-infrastructure

SCC-PG WECAN 智能工具包：通过社区基础设施众包评估增强福祉

• 批准号: 2332339
• 负责人: Barbara Minsker
• 金额: $ 14.46万
• 依托单位: Southern Methodist University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2332339&HistoricalAwards=false
• 关键词: SCC; PG; WECAN; Smart; Toolkit

This NSF Smart and Connected Community (S&CC) planning grant will design the WECAN (Wellbeing Enhancement through Crowd-sourced Assessment of Neighborhood-infrastructure) Smart Toolkit for community-driven decision making to address inequities in neighborhood infrastructure identified in previous NSF-funded research. These inequities are important because neighborhood infrastructure (e.g., sidewalks, public transit, gathering spaces, trails, etc.) provides public goods and services essential to physical, mental, social, and financial wellbeing. The WECAN smart toolkit will couple crowd-sourced data and ideas, machine learning, social and infrastructure network analysis, agent-based modeling, and community-engaged infrastructure decision making to improve neighborhood equity and wellbeing. The planning process in this project supports in-depth and inclusive community discussions on neighborhood infrastructure needs and impacts, which will lead to better understanding of diverse perspectives and support community-driven decision making. The focus on low-income neighborhoods with poor infrastructure, many of which are predominantly Black or Hispanic, should foster more inclusive and equitable city governance and community advocacy. In this project, the research team and WECAN Community Task Force, with representatives from the City of Dallas, nonprofits, and for-profit entities, will advance these goals by jointly undertaking the following tasks: (1) project planning meetings to execute the project and develop a sound SCC-IRG proposal; (2) focus groups (with community development professionals and residents) and key decision-maker interviews to identify barriers to equitable neighborhood infrastructure decision making and opportunities for WECAN to overcome these barriers; and (3) WECAN Toolkit software requirements meetings. The research questions and intellectual merit are: (1) WECAN Data Discovery: How do smart multilevel social and physical infrastructure networks evolve and impact community wellbeing in neighborhoods? A novel multilevel network approach to social and infrastructure network analysis (SINA) will be developed for predicting wellbeing. (2) WECAN Data Analytics: Can interactions among diverse social and physical infrastructure network data be better interpreted and synthesized using a novel spatiotemporal analysis called multi-modal Granger clustering, compared to traditional spatiotemporal clustering algorithms? The Granger time series clustering method will be extended to cluster spatiotemporal data based upon response to events and spatial location, rather than direct measures of similarity. (3) WECAN Toolkit Impact: How and to what extent do the WECAN tools shift equity-based infrastructure decision making? The view of “experts” will be expanded by formally integrating opinions of community members, nonprofits, for-profits, and infrastructure users into a participatory prioritization process, as compared to existing decision-making approaches.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.

这项 NSF 智能互联社区 (S&CC) 规划拨款将设计 WECAN（通过社区基础设施众包评估增强福祉）智能工具包，用于社区驱动的决策，以解决先前 NSF 资助的研究中发现的社区基础设施中的不平等问题。这些不平等现象很重要，因为社区基础设施（例如人行道、公共交通、聚集空间、步道等）提供了对身体、心理、社会和财务福祉至关重要的公共物品和服务。 WECAN 智能工具包将结合众包数据和想法、机器学习、社会和基础设施网络分析、基于代理的建模以及社区参与的基础设施决策，以改善社区公平和福祉。关于社区基础设施需求和影响的深入和包容性的社区讨论，这将有助于更好地理解不同的观点并支持社区驱动的决策。应该重点关注基础设施薄弱的低收入社区，其中许多社区主要是黑人或西班牙裔。在此方面促进更具包容性和公平的城市治理和社区宣传。项目期间，研究团队和 WECAN 社区工作组，以及来自达拉斯市、非营利组织和营利实体的代表，将通过共同承担以下任务来推进这些目标：(1) 项目规划会议，以执行项目并开发完善的 SCC-IRG 提案；(2) 焦点小组（与社区发展专业人员和居民）和关键决策者访谈，以确定公平社区基础设施决策的障碍以及 WECAN 克服这些障碍的机会；软件需求会议。和智力价值是：（1）WECAN数据发现：智能多级社会和物理基础设施网络如何发展并影响社区的社区福祉？将开发一种新颖的社会和基础设施网络分析（SINA）的多级网络方法来预测福祉。 (2) WECAN 数据分析：与传统的时空聚类算法相比，使用称为多模态格兰杰聚类的新型时空分析能否更好地解释和综合不同的社会和物理基础设施网络数据之间的交互？聚类方法将扩展到基于对事件的响应和空间位置的聚类时空数据，而不是直接测量相似性 (3) WECAN 工具包影响：WECAN 工具如何以及在多大程度上改变基于公平的基础设施决策？与现有的决策方法相比，“专家”的观点将通过将社区成员、非营利组织、营利性组织和基础设施用户的意见正式整合到参与式优先排序过程中来扩大。该奖项反映了 NSF 的法定使命通过使用基金会的智力优点和更广泛的影响审查标准进行评估，并被认为值得支持。