Collaborative Research: CyberTraining: Implementation: Medium: CyberTraining of Construction (CyCon) Research Workforce Through an Educational and Community Engagement Platform

协作研究：网络培训：实施：媒介：通过教育和社区参与平台对建筑 (CyCon) 研究人员进行网络培训

• 批准号: 2229604
• 负责人: Amin Mirkouei
• 金额: $ 35.98万
• 依托单位: Regents of the University of Idaho
• 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: 2023-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2229604&HistoricalAwards=false
• 关键词: Collaborative; Research; CyberTraining; Implementation; Medium

The construction sector is a major contributor to the U.S. economy. It represents over 4% of the U.S. GDP, equivalent to 1.36 trillion dollars. Despite recent advancements, studies indicate that the construction industry is still one of the least computerized sectors compared to manufacturing, telecommunication, and retail industries. In line with this, the construction research community faces significant challenges when it comes to adopting new data science and Artificial Intelligence (AI) solutions and techniques. Several factors, such as complexity and uniqueness of construction projects, the rapid pace of evolution of such technologies, and unfamiliarity of traditional construction faculty with such topics, cause this situation. As a result, it is crucial for researchers and academic experts to develop novel educational and training strategies to bridge such research skills gaps and strengthen construction research data literacy and digital fluency. This project addresses the above challenges faced by educators and researchers in construction engineering through the development of an educational and community engagement platform called CyCon (Cyber Construction). The CyCon platform focuses on state-of-the-art AI/ML techniques and cloud computing solutions that serve CI (CyberInfrastructure) users, contributors, and professionals in the construction research community. The CyCon platform contains the following four training and educational components: (1) CI user resource modules, including modular learning coursework and course project libraries, to train CyCon users with basic and advanced CI research skills, (2) CI educator resource modules that provide novel strategies and online materials to efficiently train educators, (3) CI competition modules to help CyCon users practice and further advance their knowledge about AI/ML products and tools using real-world construction problems, and (4) CI crowdsourcing modules that provide a well-defined data pipeline using data warehouses to enrich construction datasets available for public use. The CyCon platform is designed as a sustainable educational and community engagement framework for the construction CI research community and is expected to significantly improve the learning and teaching experiences of CI users and educators at various construction programs nationwide.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.

建筑业是美国经济的主要贡献者。它占美国 GDP 的 4% 以上，相当于 1.36 万亿美元。尽管最近取得了进展，但研究表明，与制造业、电信和零售业相比，建筑业仍然是计算机化程度最低的行业之一。与此相一致的是，建筑研究界在采用新的数据科学和人工智能 (AI) 解决方案和技术时面临着重大挑战。造成这种情况的原因有很多，例如建筑项目的复杂性和独特性、此类技术的快速发展速度以及传统建筑教师对此类主题的不熟悉。因此，研究人员和学术专家必须制定新颖的教育和培训策略，以弥合此类研究技能差距并加强建设研究数据素养和数字流畅度。该项目通过开发名为 CyCon（网络建设）的教育和社区参与平台，解决建筑工程教育工作者和研究人员面临的上述挑战。 CyCon 平台专注于最先进的 AI/ML 技术和云计算解决方案，为建筑研究社区的 CI（网络基础设施）用户、贡献者和专业人士提供服务。 CyCon 平台包含以下四个培训和教育组件：(1) CI 用户资源模块，包括模块化学习课程和课程项目库，用于培训 CyCon 用户基本和高级 CI 研究技能，(2) CI 教育者资源模块，提供新颖的策略和在线材料可有效培训教育工作者，(3) CI 竞赛模块可帮助 CyCon 用户利用现实世界的构建问题练习并进一步提高他们对 AI/ML 产品和工具的了解，以及 (4) CI 众包模块，提供使用数据仓库丰富定义良好的数据管道可供公众使用的建筑数据集。 CyCon 平台被设计为建筑 CI 研究社区的可持续教育和社区参与框架，预计将显着改善全国各种建筑项目中 CI 用户和教育工作者的学习和教学体验。该奖项反映了 NSF 的法定使命，并已通过使用基金会的智力优点和更广泛的影响审查标准进行评估，认为值得支持。