Bridging Construction Engineering and Computer Science: A New Interdisciplinary Framework for the Future of AEC Technology

This paper explores the integration of Construction Engineering (CE) and Computer Science (CS) within the Architecture, Engineering, and Construction (AEC) industry, proposing an interdisciplinary framework for future AEC technology. With the rapid evolution of digital tools such as Building Information Modeling (BIM), artificial intelligence (AI), and machine learning, the intersection of CE and CS has become pivotal in enhancing efficiency, collaboration, and sustainability in the built environment. The study investigates the impact of CS integration on AEC project outcomes through a quantitative analysis of 85 AEC projects conducted between 2020 and 2023, using data from BIM logs, surveys of practitioners, and educators. The research is hypothesis-driven, with a focus on assessing whether CS integration can reduce delays by over 30% (H1) and explain more than 60% of the project variance (H2). The methodology employs Monte Carlo simulations, sensitivity analysis, and system dynamics modeling, providing robust insights into the key factors affecting project performance. Findings indicate that BIM maturity and CS skills are significantly correlated with project delays, overruns, and clashes. Moreover, the implementation of advanced technologies such as SAF has demonstrated a substantial reduction in project delays and overruns. This research highlights the importance of interdisciplinary collaboration in advancing AEC technology and underscores the role of educational initiatives and workforce upskilling in facilitating the successful adoption of these technologies.