Aims & Scope

The Journal of Applied AI in the Built Environment (JAAIBE) aims to publish high-quality research that advances knowledge and practice at the intersection of artificial intelligence and the built environment. The journal welcomes contributions that explore AI methods through simulations, experiments, field studies, or applied case studies, with a focus on both conceptual innovation and practical relevance.

The journal covers a broad range of topics related to AI in the built environment, including but not limited to:

Building and infrastructure design, analysis and optimization
Studies of building performance, energy systems and occupant behavior
Smart buildings, sensing systems and intelligent control strategies
Infrastructure monitoring, maintenance and lifecycle management
Construction planning, automation and risk assessment
Urban-scale modelling, simulation and decision-support systems
Digital twins, virtual environments and data-driven representations of built assets
Sustainability, resilience and climate adaptation strategies
Data management, interoperability and ethical considerations in built-environment

Beyond its technical focus, the journal is intended to serve as a dedicated home for research at the intersection of artificial intelligence and the built environment, a field that is currently dispersed across computer science, engineering, and domain-specific journals. By bringing this work together in one venue, the journal aims to improve visibility, comparability, and cross-fertilization of ideas among researchers working on related problems from different disciplinary perspectives.

JAAIBE intentionally maintains a broad and inclusive scope to support the formation of an interdisciplinary community spanning architecture, engineering, construction, urban studies, and computer science. While future thematic sections or topical categories may emerge as the field matures, the journal currently welcomes diverse contributions that apply AI to built-environment challenges at any scale.