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

SCC-IRG 第 1 轨道：通过公益网络为粮食不安全地区的家庭提供服务：共享

基本信息

批准号：
2125600
负责人：
Julie Ivy
金额：
$ 201.8万
依托单位：
North Carolina State University
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 2025-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125600&HistoricalAwards=false
关键词：
SCC IRG Track Serving Households

项目摘要

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.

该项目旨在通过最大限度地公平获取安全食品来解决美国的饥饿问题，同时考虑食品不安全家庭的食品偏好，同时解决美国 10.5% 的可用食品的重新分配问题。然而，根据 Feeding America Covid-19 影响评估，2019 年家庭粮食不安全的情况随着 COVID-19 的传播而增加了 29%。美国 30-40% 的粮食供应被浪费了，与北卡罗来纳州的两家食品银行和阿拉巴马州的一家食品银行合作，每个银行都为一系列县及其相关的粮食不安全家庭、粮食安全家庭网络提供服务。其他非营利组织以及当地企业，如种植者、超市、餐馆和服务区域的其他企业——学术和社区合作伙伴的项目团队将共同开发一个基于社区的社会智能非营利食品救援和分配基础设施和平台，公平地利用社区资源该项目将三个目标结合起来，开发一个社会智能的非营利性食品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上游阶段提供反馈，公平地服务于粮食不安全的家庭。捕获者和预测者：通过创建实时记录数据的社交智能基础设施来了解捐赠者、受益者和志愿者的行为，并了解利益相关者和最终用户随时间变化的需求、偏好和利用率。 2、战术供应链规划师：通过构建技术和数据驱动的供应链框架，设计和优化社区食物共享网络，以响应利益相关者的行为，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，实时物流运营优化器：通过社区自我更新，将粮食不安全的家庭实时连接到基于社区的供应选项，满足受益人的需求。优化实时取货和配送物流，同时遵守食品安全时间窗口。拟议的基础设施将促进更有效的食品分配，旨在减少饥饿，同时增强可持续性。该奖项反映了 NSF 的法定使命，并通过使用评估被认为值得支持。基金会的智力价值和更广泛的影响审查标准。