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SCC-PG Food Environment Equity Dashboard NYC (FEED-NYC)

SCC-PG Food Environment Equity Dashboard NYC (FEED-NYC)
SCC-PG 纽约市食品环境公平仪表板 (FEED-NYC)
批准号:
2125200
负责人:
Nevin Cohen
金额:
$15.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2023-03-31

项目摘要

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中文摘要
翻译
城市粮食系统没有跟上其他市政职能部署智能技术的步伐,以改善服务可及性、管理基础设施和增加公众参与。粮食系统数据往往不完整,分散在各机构之间,并且没有充分分类以确定种族、民族或空间差异。该项目建立了一个粮食环境公平仪表板(FEED-NYC)原型,这是一个数据、信息、知识和通信平台,旨在展示社区设计的智慧城市技术在解决粮食系统不平等问题方面的潜力。该仪表板将为纽约市组织、分析和可视化公共和社区生成的粮食系统公平数据,重点关注粮食不安全高发这一持续存在的问题。该项目旨在探索以股权为中心的数据仪表板的技术方面,以及其创建和使用所涉及的社会过程。项目团队将说明仪表板如何成为政府改善项目管理和社区利益相关者更有效地参与推进社会公正食品政策的工具。该项目的更广泛影响将是展示通过多部门合作部署的智慧互联城市解决方案如何在不同规模、不同社区以及住房、教育或交通等其他领域解决公平和社会正义问题。该项目涉及跨学科,多部门,城市食品系统团队共同设计和原型FEED-NYC。这包括设计思维研讨会,以确定相关数据;评估数据收集、分析和可视化方法;仪表板原型的创建;并准备了三个案例,说明政府官员、非政府组织和其他利益相关者如何使用仪表板来减少粮食不安全。原型评估探讨了以公平为中心的数据仪表板的技术方面,以及创建和使用它所涉及的社会过程,包括数据收集和分析以及食品系统等社会技术系统的可视化是否以及在多大程度上发挥启发式作用,以形成战略和感知粮食不安全的解决方案,或使现有状况永久化。它探索了数据收集和可视化的新方法,如众包和大数据,并开发了用例,说明了以股票为中心的数据仪表板的潜在社会和政治影响。该项目旨在为来自不同学科和部门的团队成员建立一个智慧互联的实践社区,这些团队成员有能力为智慧互联城市提供解决方案模型,以解决不同规模、社区和城市系统中的社会不公和种族及其他不平等问题。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。
英文摘要
Urban food systems have not kept pace with other municipal functions deploying smart technologies to improve service access, manage infrastructure, and increase public participation. Food systems data are often incomplete, scattered across agencies, and insufficiently disaggregated to identify racial, ethnic, or spatial disparities. This project prototypes a Food Environment Equity Dashboard (FEED-NYC), a data, information, knowledge, and communications platform, to demonstrate the potential for community-designed smart city technologies to address food systems inequities. The dashboard will organize, analyze, and visualize public and community-generated food systems equity data for New York City, focusing on the persistent problem of high rates of food insecurity. The project aims to explore the technical aspects of an equity-focused data dashboard and the social processes involved in its creation and use. The project team will illustrate how the dashboard can serve as a tool for government to improve program management and for community stakeholders to participate more effectively in advancing socially just food policy. The project’s broader impact will be to show how solutions for smart and connected cities deployed by multi-sector partnerships can address equity and social justice at different scales, in different communities, and in other domains like housing, education, or transportation.The project involves an interdisciplinary, multi-sector, urban food systems teem in co-designing and prototyping FEED-NYC. This involves design thinking workshops to identify relevant data; assessment of data collection, analysis, and visualization methods; creation of the dashboard prototype; and preparation of three cases illustrating how government officials, NGOs, and other stakeholders can use the dashboard to reduce food insecurity. The prototype assessment explores the technical aspects of an equity-focused data dashboard and the social processes involved in creating and using it, including whether and to what extent data collection and analysis, and visualizations of sociotechnical systems like the food system, function as heuristics to shape strategies and perceived solutions to food insecurity, or perpetuate existing conditions. It explores novel methods of data collection and visualization such as crowd sourcing and big data and develops use cases illustrating the potential social and political effects of an equity-focused data dashboard. The project aims to build a smart and connected community of practice among team members who are from disciplines and sectors that has the capacity to model solutions for smart and connected cities that address social injustice and tackle racial and other inequities at different scales, communities, and urban systems.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.
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