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.

建筑部门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。尽管最近进步，但研究表明，与制造业，电信和零售行业相比，建筑业仍然是计算机领域最少的领域之一。与此相符，建筑研究界在采用新的数据科学和人工智能（AI）解决方案和技术方面面临重大挑战。几个因素，例如建筑项目的复杂性和独特性，这种技术的发展速度以及与传统建筑学院的不熟悉的主题，导致了这种情况。结果，对于研究人员和学术专家来说，制定新颖的教育和培训策略至关重要，以弥合此类研究技能差距并加强建筑研究数据素养和数字流利性。该项目通过开发一个名为Cycon（Cyber​​ Construction）的教育和社区参与平台来解决建筑工程教育工作者和研究人员面临的上述挑战。 Cycon平台着重于最先进的AI/ML技术和云计算解决方案，这些解决方案为CI（Cyber​​infrasture）用户，贡献者和建筑研究社区的专业人员提供服务。 CYCON平台包含以下四个培训和教育组成部分：（1）CI用户资源模块，包括模块化学习课程和课程项目图书馆，以培训具有基本和先进的CI研究技能的Cycon用户，（2）CI教育者资源模块，这些模块可提供新颖的策略和在线材料，以帮助您进行培训的工具，并进一步培训CY COMPARTERS，以进一步培训CI竞争的工具，（3）CI竞争的工具，（3）有关AI的知识，以了解AI的知识。问题，以及（4）CI众包模块，该模块使用数据仓库提供了明确定义的数据管道，以丰富可用于公共使用的施工数据集。 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，预计将在全国各种建筑计划中显着改善CI用户和教育工作者的学习和教学经验。该奖项反映了NSF的法定任务，并通过评估该基金会的知识分子功能和广泛的影响来评估NSF的法定任务。