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

利益相关者、资源、活动和信息的复杂网络通过土壤到土壤的食物系统（FS）将食物从农场转移到盘子。为了确保这一系统的健康，特别是在危机和不稳定时期，该系统的所有利益攸关方（例如，居民、食品生产者、研究人员和决策者）需要新鲜的最新信息，只有通过社区成员的帮助才能大规模地获得这些信息。该项目为一个可持续的、社区驱动的数据收集工具奠定了基础，该工具将同时帮助社区成员更好地了解他们的食物系统，回答诸如“我在哪里可以找到健康、新鲜、低成本的食物？“同时通过帮助保持数据的新鲜和最新来鼓励参与粮食系统。该规划提案将使用图像识别（例如，在零售店或农场摊位）以简化记录关于在产品展示处可获得的产品的可用性、价格、类型和其它特性的信息的过程。该项目还将与社区成员合作，通过健康饮食研讨会和数据收集竞赛推动该工具的采用。与西纽约（WNY）食品系统的非营利组织和地方政府社区合作伙伴合作，研究人员和利益相关者的项目团队将开发名为REAP（研究，教育，行动和恢复政策）的数据收集平台，以允许众包数据增强现有的WNY食品系统仪表板。例如，通过允许众包农产品价格数据，团队可以分析这些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来提高计算机视觉和不确定数据管理的最新水平，从而在忽略干扰因素的同时将图像中的多个信息源关联起来，并通过整个数据呈现管道跟踪系统对结果信息的信心。拟议的工作还包括一项元分析，使用前和后调查，以及通过REAP捕获的数据的图表分析，以检查共同制作的信息和食品相关行为行动的可用性和流动如何影响食品系统利益相关者。REAP为正在进行的绘制WNY食品系统的工作奠定了基础，同时研究城市和农村的参与者。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价值和更广泛的影响审查标准进行评估来支持。

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.