Advancements in Architectural, Engineering, and Construction Research and Practice

This book provides a compelling exploration of how big data analytics, machine learning, and artificial intelligence are fundamentally reshaping architecture, engineering, and construction. It moves beyond theoretical discussion to examine the practical fusion of computational design with traditional building disciplines, offering a clear-eyed look at how data-driven insights are transforming project workflows and decision-making processes. The analysis demonstrates how these technological domains are creating new possibilities for the built environment while simultaneously impacting business models and operational efficiency.

What distinguishes this work is its integrated perspective, refusing to treat architecture, engineering, and technology as separate silos and instead revealing their synergistic potential. Professionals in AEC fields will find actionable insights into leveraging computational tools, while technology specialists gain crucial context about real-world construction and design challenges. The book ultimately makes a convincing case that the future of our physical world depends on this interdisciplinary convergence, positioning data literacy as the next essential skill for shaping sustainable and intelligent environments.