CISE-MSI: RPEP:S&CC:Information Systens meet CUltural COmpetencies (IS-CUCO): Enabling data-driven decision-making in underserved Hispanic populations

该奖项的全部或部分资金来自《2021年美国救援计划法案》(公法117-2)。美国农业部报告称，2020年，超过3400万居民努力获得足够的食物，以维持积极健康的生活方式。代表性不足的社区，如城市地区的西班牙裔，在做出获取食物等资源的决定时，对信息系统(IS)的使用有限。信息系统满足文化能力(IS-CUCO)项目的目标是将文化、语言、数据和基础设施因素纳入信息系统，以提供获得食品安全服务的机会，如食品储藏室。该项目的重点是开发IS，以增加拉美裔和其他服务不足的人口对IS的使用。项目成员来自位于拉美裔人口众多的社区(纽约市、洛杉矶、芝加哥和埃尔帕索)的拉美裔服务机构(HSI)。IS-CUCO建立研究能力并培训下一代专业人员，他们开发更具包容性的IS。IS-CUCO项目的主要活动包括确定文化、语言、数据和基础设施因素如何影响拉美裔人口对IS的使用，并将这些因素纳入软件工程过程。该项目使用了一种创新的社区方法，将社会科学、计算机科学和软件工程的跨学科研究团队聚集在一起，服务于不同的西班牙裔人口。预期成果包括：i)支持食品安全有效设计的关键信息系统使用因素的知识库针对西班牙裔社区；ii)软件工程模式和做法，为食品安全和相关信息系统的发展提供信息，以满足不同社区的需求；iii)提高参与的信息系统在研究、课程和联合课程活动方面的能力。这个项目可能会改变城市地区的组织满足服务不足人口的信息需求以支持他们决策的方式。在这个项目中与当地组织建立的合作将促进预期成果的可持续性和采用。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).The United States Department of Agriculture reported that in 2020 more than 34 million residents struggled to secure enough food to sustain an active and healthy lifestyle. Underrepresented communities, such as Hispanics in urban areas, make limited use of Information Systems (IS) when making decisions to access resources such as food. The goal of the Information Systems meets CUltural COmpetencies (IS-CUCO) project is to integrate cultural, linguistic, data, and infrastructure factors into IS that provide access to food-security services such as food pantries. The project focuses on the development of IS to increase their use by Hispanics and other underserved populations. The project members are from Hispanic Serving Institutions (HSIs) located in communities with large Hispanic populations (New York City, Los Angeles, Chicago, and El Paso). IS-CUCO builds research capacity and trains the next generation of professionals who develop more inclusive IS. Key activities for the IS-CUCO project include identifying how cultural, linguistic, data, and infrastructure factors impact the use of IS by Hispanic populations, and incorporating these factors into the software engineering process. The project uses an innovative community-based approach that brings together an interdisciplinary research team from the social sciences, computer science, and software engineering across HSIs serving diverse Hispanic populations. Expected outcomes include: i) knowledge base of key IS-usage factors that support the effective design of food-security IS targeting Hispanic communities; ii) software-engineering models and practices that inform development of food-security and related IS to meet the needs of diverse communities; and iii) increased capacity at the participating HSIs with respect to research, curricular, and co-curricular activities. This project can potentially transform the way organizations in urban areas address information needs of underserved populations to support their decision-making. The collaborations created in this project with local organizations will foster the sustainability and adoption of the expected outcomes.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.