SCC-IRG Track 1: Serving Households in AReas with food Insecurity with a Network for Good: SHARING

该项目旨在通过最大限度地公平获得安全食品来解决美国的饥饿救济问题，同时考虑粮食不安全家庭的食物偏好，并同时解决否则会浪费的可用食物的重新分配问题。根据Feeding America Covid-19影响评估，美国于二零一九年有10. 5%的家庭粮食不安全，而随着COVID-19的蔓延，该数字于二零二零年增加29%。然而，据估计，在美国，30-40%的食物供应被浪费了。与北卡罗来纳州的两个食品银行和亚拉巴马的一个食品银行合作，每个食品银行都服务于一系列县，连同他们的粮食不安全家庭，粮食安全家庭，其他非营利组织和当地企业，如种植者，超市，餐馆，和服务区域内的其他企业-由学术和社区合作伙伴组成的项目团队将共同开发一个社区-基于社会智慧的非营利粮食救援和分配基础设施和平台，利用社区资源公平地为粮食不安全家庭服务。该项目将三个目标结合起来，旨在开发一个具有社会智慧的非营利粮食救援和分配基础设施，通过不断了解他们的偏好并向供应链的上游阶段提供反馈，公平地为粮食不安全的家庭提供服务。目标1，智能社会技术信息捕获器和预测器：通过创建一个社会智能基础设施，实时记录数据并了解利益相关者和最终用户随着时间的推移不断变化的需求，偏好和利用率，了解捐赠者，受益者和志愿者的行为。目标2，战术供应链规划师：通过构建一个技术和数据驱动的供应链框架来设计和优化社区粮食共享网络，以适应不断变化的利益相关者行为，以最好地满足社区内粮食不安全家庭的饥饿需求。目标3，实时，物流业务优化：通过社区自我更新满足受益人的需求，将粮食不安全的家庭实时连接到基于社区的供应选项，并在遵守食品安全时间窗口的同时优化实时提货和送货物流。拟议的基础设施将促进更有效的粮食分配，旨在减少饥饿，同时提高可持续性。这一奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

This project seeks to address hunger relief in the US by maximizing equitable access to safe food, while considering the food preferences of food-insecure households, and simultaneously addressing redistribution of usable food that would otherwise be wasted. In the US, 10.5% of the households were food insecure in 2019, and that number increased by 29% in 2020 with the spread of COVID-19, according to the Feeding America Covid-19 impact assessment. Yet, it is estimated that 30–40% of food supply is wasted in the US. Working with two food banks in North Carolina and one in Alabama, each serving a range of counties—together with their associated networks of food-insecure households, food-secure households, other nonprofit organizations, and local businesses such as growers, supermarkets, restaurants, and other businesses in the service regions—the project team of academic and community partners will co-develop a community-based socially intelligent nonprofit food rescue and distribution infrastructure and platform to use community resources to equitably serve food-insecure households. This project unites three aims to develop a socially intelligent nonprofit food rescue and distribution infrastructure to equitably serve food-insecure households by continually learning their preferences with feedback to upstream stages of the supply chain. Aim 1, Smart Sociotechnical Information Capturer and Predictor: Understand the behavior of donors, beneficiaries, and volunteers by creating a socially intelligent infrastructure that records data in real-time and learns evolving stakeholders’ and end users’ needs, preferences, and utilization over time. Aim 2, Tactical Supply Chain Planner: Design and optimize the community food sharing network in response to stakeholder behaviors by constructing a technology and data-driven supply chain framework that adapts to evolving stakeholder behaviors to best serve the hunger needs of food-insecure households within the community. Aim 3, Real-Time, Logistics Operations Optimizer: Satisfy beneficiary needs through communal self-renewal by connecting food-insecure households to community-based supply options in real-time, and optimizing real-time pickup and delivery logistics while adhering to food safety time windows. The proposed infrastructure will facilitate more effective food distribution aimed at reducing hunger while simultaneously enhancing sustainability.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.