Excellence in Research: Human Centered Visual Analytics for Evidence Based Decision Making in Hunger Relief

卓越研究：以人为中心的视觉分析，促进饥饿救济中基于证据的决策

• 批准号: 2100855
• 负责人: Steven Jiang
• 金额: $ 40万
• 依托单位: North Carolina Agricultural & Technical 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 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2100855&HistoricalAwards=false
• 关键词: Excellence; Research; Human; Centered; Visual

Food insecurity defined as the uncertain or limited access to safe and nutritious food for an active, healthy life is a growing problem in the United States. Nonprofit hunger relief organizations, such as food banks, play a significant role in providing safe and nutritious food to people who experience food insecurity. Hunger relief operations rely on evidence based decisions and they lack scientifically-based validated tools and resources that can assist their decision making. This project integrates the computing power of data analytics with human factors to improve evidence based decision making that impacts food insecurity and hunger relief operations. This project has substantial benefits to society. The ability to provide evidence based decisions through interactive visualization that combines analytical power and human reasoning will empower food banks to have better understanding of all aspects of food bank operations including behaviors of donors and partner agencies, demand and supply, and therefore, allow them to make informed decisions to help the people in need. This project will enable hunger relief organizations to satisfy greater demand by more efficiently allocating available resources, thus impacting human life. The nature of this project has the potential to increase participation of underrepresented minority students to conduct research in the application of engineering to problems with societal benefit. This project will focus on improving the way hunger relief organizations interact with information and develop a systematic approach that is human centered and accounts for human cognitive limitations to provide interactive visual analytics toolkits that are accessible, interpretable, and readily implementable, and are tailored to hunger relief operations. This project will significantly contribute to the knowledge base with regard to data analytics and visualization of in-kind donations and food need, which is an important but understudied topic. This project will provide a framework for how big data can be synthesized and visualized that is truly human centered in the hunger relief sector and transform the way the operations of these organizations interact with information and improve the efficiency and effectiveness of their decision making.This project is co-funded by the Historically Black Colleges and Universities-Undergraduate Program (HBCU-UP).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.

粮食不安全被定义为不确定或有限地获得安全和营养的食物，以促进积极，健康的生活，这是美国日益严重的问题。非营利饥饿救济组织，如粮食银行，在向粮食不安全的人提供安全和营养食品方面发挥着重要作用。 饥饿救济行动依赖于基于证据的决定，它们缺乏可以协助其决策的科学有效工具和资源。该项目将数据分析的计算能力与人为因素相结合，以改善影响粮食不安全和饥饿救济行动的循证决策。 这个项目对社会有很大的好处。通过结合分析能力和人类推理的交互式可视化提供基于证据的决策的能力将使食品银行能够更好地了解食品银行运营的各个方面，包括捐助者和合作伙伴机构的行为，需求和供应，因此，使他们能够做出明智的决策，以帮助有需要的人。该项目将使饥饿救济组织能够通过更有效地分配可用资源来满足更大的需求，从而影响人类生活。该项目的性质有可能增加代表性不足的少数民族学生的参与，以进行工程应用研究，以解决社会利益的问题。该项目将侧重于改善饥饿救济组织与信息互动的方式，并开发一种以人为本的系统方法，并考虑到人类认知的局限性，以提供可访问，可解释和易于实施的交互式可视化分析工具包，并为饥饿救济行动量身定制。该项目将大大有助于数据分析和实物捐助和粮食需求可视化方面的知识库，这是一个重要但研究不足的主题。该项目将提供一个框架，说明如何合成和可视化大数据，在饥饿救济部门真正以人为本，并改变这些组织与信息互动的方式，提高决策的效率和有效性。该项目由历史上的黑人学院和大学-本科生项目（HBCU-UP）共同资助。该奖项反映了NSF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。

项目成果

Visualizing a Local Food Bank’s Chronic Health Disease Population

可视化当地食品银行的慢性健康疾病人群

• 发表时间: 2023
• 作者: Hamilton, M.;Jiang, S.;Davis, L.
• 通讯作者: Davis, L.

Examining local food deserts using visual analytics

使用视觉分析检查当地的食物荒漠

• DOI: 10.54941/ahfe1003957
• 发表时间: 2023
• 期刊: AHFE International
• 作者: Washington, Henry;Jiang, Steven;Davis, Lauren;Nam Kim, Hyung
• 通讯作者: Nam Kim, Hyung

Clustering Partner Agencies for a Local Food Bank

为当地食品银行聚集合作伙伴机构

• 发表时间: 2023
• 期刊: Proceedings of 2023 Industrial and Systems Engineering Annual Conference
• 作者: Ivuawuogu, H.;Jiang, S.;Davis, L.
• 通讯作者: Davis, L.

Understanding the Dietary Need of a Local Food Bank’s Population Using Visual Analytics

使用视觉分析了解当地食品银行人口的饮食需求

• DOI: 10.54941/ahfe1003452
• 发表时间: 2023
• 期刊: AHFE International
• 作者: Hamilton, Mikaya;Jiang, Steven;Davis, Lauren
• 通讯作者: Davis, Lauren

Evidence-based decision making using visual analytics for a local food bank

使用视觉分析为当地食品银行做出基于证据的决策

• DOI: 10.54941/ahfe1002587
• 发表时间: 2022
• 期刊: AHFE International
• 作者: Jiang, Steven;Odubela, Kehinde;Davis, Lauren
• 通讯作者: Davis, Lauren