About this Research Topic
The research and development for Artificial Intelligence (AI) applications in the subject field of built environment can be well informed and supported by relevant AI theories and solutions at strategic, tactic and operational levels. Since 1960s, there has been an increasing amount of momentum accumulated from both academic research and practical innovations in areas of the built environment subject, and it can be scoped from a theoretical perspective that AI applications are work stage oriented to cover planning, design, construction, operation, maintenance, deconstruction, and logistics, etc.; and cognitive domain oriented to cover specific focuses on health, safety, quality, productivity, resources, schedule, and adaptability, etc., which are all essentials of the subject body of knowledge. In the pursuit of sustainability for buildings and infrastructures, the efficacy of AI is now widely expected among academics and practitioners in this subject field, and this makes it important for new solutions to have a profound influence on the theory and praxis of applied AI within the specified technical scope.
This Research Topic aims to provide a convergence research forum for academics and practitioners around the world to present theoretical and practical knowledge on the engineering and managerial aspects of applied AI oriented world-leading research and best practices in the context of individual work stages and/or specific cognitive domains in the built environment subject field. The goal of this research topic is to develop a unique transdisciplinary topical collection to show the advances of professional knowledge and technical solutions in applied AI for the built environment profession.
The scope of this Research Topic covers all issues relating to AI applications in the built environment subject field. Issues within this Research Topic could be connected to, but are not limited to, the following listed areas:
• AI implications for construction regulations and professional leaderships.
• Challenges, dependability, supportability, and maturity of AI adoptions at
work stages.
• Complex AI solutions for built environment systems.
• Construction knowledge graphs.
• Distributed AI systems for work stages and integration.
• Generative AI applications for construction project delivery.
• Inclusive AI solutions at workplaces and work stages.
• Integration of AI applications into BIM solutions.
• Case studies and lessons learned from subject-specific AI applications.
• Metatheory of AI applications for the built environment profession.
• Methodologies of AI solutions development for buildings and
infrastructures.
• Professional competence development to support AI adoptions.
• Standardizations of AI applications in built environment subject areas.
• Strategies and tactics on AI adoptions in engineering and management
areas.
• Technical review and exploration on research and development for AI
solutions.
This Research Topic aims to provide a convergence research forum for academics and practitioners around the world to present theoretical and practical knowledge on the engineering and managerial aspects of applied AI oriented world-leading research and best practices in the context of individual work stages and/or specific cognitive domains in the built environment subject field. The goal of this research topic is to develop a unique transdisciplinary topical collection to show the advances of professional knowledge and technical solutions in applied AI for the built environment profession.
The scope of this Research Topic covers all issues relating to AI applications in the built environment subject field. Issues within this Research Topic could be connected to, but are not limited to, the following listed areas:
• AI implications for construction regulations and professional leaderships.
• Challenges, dependability, supportability, and maturity of AI adoptions at
work stages.
• Complex AI solutions for built environment systems.
• Construction knowledge graphs.
• Distributed AI systems for work stages and integration.
• Generative AI applications for construction project delivery.
• Inclusive AI solutions at workplaces and work stages.
• Integration of AI applications into BIM solutions.
• Case studies and lessons learned from subject-specific AI applications.
• Metatheory of AI applications for the built environment profession.
• Methodologies of AI solutions development for buildings and
infrastructures.
• Professional competence development to support AI adoptions.
• Standardizations of AI applications in built environment subject areas.
• Strategies and tactics on AI adoptions in engineering and management
areas.
• Technical review and exploration on research and development for AI
solutions.
Keywords: Artificial Intelligence, Built environment, Digital construction, Innovation, Knowledge.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
