Building Social Science Data Analytics and Visualization Skills through Cross-Disciplinary Urban Research

通过跨学科城市研究培养社会科学数据分析和可视化技能

• 批准号: 2315235
• 负责人: Julia Nevarez
• 金额: $ 102.63万
• 依托单位: Kean University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2315235&HistoricalAwards=false
• 关键词: Building; Social; Science; Data; Analytics

The primary goal of this research is to promote data analyze skills and apply data analytics to understand current urban issues in local and global communities. This project addresses the importance of digital literacy, the democratization of data knowledge, and cross-disciplinary collaborative research in the production of knowledge that is relevant to the communities served by public higher education. The project seeks to understand how cross-disciplinary research strengthens the understanding of the complexity of contemporary living in cities with an increasing use of digital technologies and platforms that inform the delivery of resources, services, and goods. This project fosters cross-disciplinary research by bringing forward discipline-specific skills in the social sciences and STEM via educational and research activities to develop data analytics and visualization tools to address socioeconomic, health, behavioral, social justice, and climate change challenges confronting urban communities. Thereby increasing the research and experiential capacity of faculty and students engaged in relevant and robust urban research supported by data analytics and visualization tools.The project utilizes a multi-method program evaluation approach to quantitatively and qualitatively study educational and research activities supported by the “Center for Data Analytics and Visualization in Urban Research.” Among the activities supported and evaluated are data analytics and visualization workshops and curriculum development, and faculty and student cross-disciplinary research. The research methods include surveys, informal and formal interview with The Center leadership, advisory board, faculty, and students to account for the multiple ways in which The Center’s offerings support digital literacy, knowledge management, and cross-disciplinary urban research at Kean University.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.

这项研究的主要目标是提高数据分析技能并应用数据分析来了解当地和全球社区当前的城市问题。该项目强调数字素养、数据知识民主化以及跨学科协作研究在与公立高等教育所服务的社区相关的知识生产中的重要性。该项目旨在了解跨学科研究如何通过越来越多地使用数字技术和平台来加强对当代城市生活复杂性的理解，这些技术和平台为资源、服务和商品的交付提供信息。该项目通过教育和研究活动来开发数据分析和可视化工具，以解决城市社区面临的社会经济、健康、行为、社会正义和气候变化挑战，从而推动社会科学和 STEM 领域的特定学科技能，从而促进跨学科研究。从而提高教师和学生在数据分析和可视化工具的支持下从事相关和强大的城市研究的研究和体验能力。该项目利用多方法项目评估方法对“城市研究数据分析和可视化中心”支持的教育和研究活动进行定量和定性研究。支持和评估的活动包括数据分析和可视化研讨会和课程开发，以及教师和学生的跨学科研究。研究方法包括调查、与中心领导层、顾问委员会、教师和学生的非正式和正式访谈，以解释该中心的产品支持基恩大学数字素养、知识管理和跨学科城市研究的多种方式。该奖项反映了 NSF 的法定使命，并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，被认为值得支持。