SCC-PG: A Sustainable and Connected Community-Scale Food System to Empower Consumers, Farmers, and Retailers

SCC-PG：可持续且互联的社区规模食品系统，为消费者、农民和零售商提供支持

• 批准号: 2125516
• 负责人: Oliver Kennedy
• 金额: $ 15万
• 依托单位: SUNY at Buffalo
• 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
• 起止时间: 2021-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125516&HistoricalAwards=false
• 关键词: SCC; PG; Sustainable; Connected; Community

A complex network of stakeholders, resources, activities, and information move food from farm to plate through a soil to soil food system (FS). To ensure the health of this system, especially through times of crisis and instability, all of the system's stakeholders (e.g., residents, food-producers, researchers, and policy-makers) need fresh, up-to-date information, something only possible at scale through the aid of community members. This project lays the foundations for a sustainable, community-driven data collection tool that will simultaneously help community members to better understand their food system by answering questions like "Where can I find healthy, fresh, low-cost food?" while encouraging participation in the food system by helping to keep data fresh and up-to-date. This planning proposal will develop a proof-of-concept, using image recognition (e.g., at retail stores or farm stands) to streamline the process of recording information about the availability, price, types, and other characteristics of produce available at produce displays. The project will also work with community members to drive adoption of the tool through healthy eating workshops and data-collection competitions. Working collaboratively with non-profit and local government community partners in the Western New York (WNY) food system, the project team of researchers and stakeholder will develop data collection platform called REAP (Research, Education, Action, And Policy for Resilience) to allow crowdsourced data to augment an existing WNY food system dashboard. For example, by allowing for crowdsourced produce price data, the team can analyze how this information impacts the behaviors of both consumers and suppliers in the food system. The project will advance the state of the art in computer vision and uncertain data management by developing techniques to correlate multiple sources of information in images while ignoring distractors, and for tracking the system's confidence in the resulting information through the entire data presentation pipeline. The proposed work also includes a meta-analysis, using pre- and post- surveys, as well as graph analysis on the data captured through REAP, to examine how the availability and flow of co-produced information and food-related behavioral actions affect food system stakeholders. REAP lays the groundwork for ongoing efforts to map the WNY food system, simultaneously studying both urban and rural participants.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.

一个复杂的利益相关者，资源，活动和信息网络将食物从农场转移到土壤食品系统（FS）。为了确保该系统的健康，尤其是在危机和不稳定的时期，该系统的所有利益相关者（例如居民，食品生产者，研究人员和政策制定者）​​都需要新的，最新的信息，只有在社区成员的帮助下才有可能在大规模上进行。该项目为可持续的，社区驱动的数据收集工具奠定了基础，该工具将通过回答“在哪里可以找到健康，新鲜，低成本的食物”之类的问题来帮助社区成员更好地了解其食品系统？通过帮助保持数据新鲜和最新的同时鼓励参与食品系统。该计划提案将使用图像识别（例如在零售商店或农场支架上）来制定概念验证，以简化有关在产品显示器上可用的产品的可用性，价格，类型和其他特征的信息。该项目还将与社区成员合作，通过健康的饮食研讨会和数据收集竞赛来推动该工具的采用。研究人员和利益相关者的项目团队将与西部纽约食品系统的非营利和地方政府社区合作伙伴合作，将开发名为REAP的数据收集平台，称为REAP（研究，教育，教育，行动和弹性政策），以允许拥挤的数据增强现有的WNY食品系统仪表板。例如，通过允许众包生产价格数据，团队可以分析此信息如何影响食品系统中消费者和供应商的行为。该项目将通过开发技术在忽略图像中的多个信息来源的同时通过整个数据显示管道来跟踪系统对所得信息的信心，从而推动计算机视觉和不确定的数据管理的状态。拟议的工作还包括使用前和调查后的荟萃分析，以及通过REAP捕获的数据的图分析，以研究共同生产的信息的可用性和流动以及与食品相关的行为行为如何影响食品系统利益相关者。收获为努力绘制WNY食品系统的努力奠定了基础，同时研究了城市和农村参与者。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估审查标准来通过评估来获得支持的。