Collaborative Intelligence and Construction 5.0: Digital Twins, AI, and Human-Centered Approaches for Sustainable Built Environment

The construction sector is experiencing a paradigm shift toward Construction 5.0, where digitalization, sustainability, and human-centric innovation converge. The rapid adoption of Digital Twins (DTs), Artificial Intelligence (AI), and integrated platform ecosystems is enabling unprecedented opportunities to optimize resource use, strengthen lifecycle data integration, and foster cross-sectoral collaboration.This transformation, however, goes beyond automation and efficiency it hinges on building trust, inclusivity, and ethical frameworks for human AI collaboration. As cities, buildings, and infrastructure become increasingly interconnected, innovative methods are needed to manage complexity at various scales, from individual structures to entire urban systems. Integrating circular economy principles, resilience strategies, and interoperable standards is essential in addressing energy transitions, climate adaptation, and social equity.By repositioning Construction 5.0 as a framework for collaborative intelligence that bridges technological advancement and human values, this Research Topic invites original contributions demonstrating how DTs, AI, and interdisciplinary teamwork can accelerate the transition toward a more sustainable and adaptive built environment.Aims and ScopeThe goal of this Research Topic is to advance collaborative intelligence in Construction 5.0 by examining the synergies between digital technologies and human-centered approaches for sustainability. We seek to showcase:o How AI-enabled Digital Twin ecosystems support transparent, ethical, and data-driven decision-making, balancing environmental, economic, and social objectives;o The integration of platform ecosystems including BIM, GIS, IoT, and lifecycle data to support adaptive and resilient construction sectors;o Approaches that emphasize explainable AI, trust-building mechanisms, and cross-sectoral demonstrators linking construction to energy, mobility, and urban resilience.This collection aims to share conceptual frameworks, methodological innovations, transformative case studies, and technological demonstrators that outline practical pathways to sustainable construction practice. Ultimately, we endeavor to promote a shared vision where data, intelligence, and people collaborate to deliver long-term resilience and circularity.Call for ContributionsWe invite submissions addressing advances in Digital Twin ecosystems, AI applications, and collaborative platforms for the built environment. Areas of interest include, but are not limited to:o Conceptual and theoretical frameworks advancing Construction 5.0o Methodological innovations for multi-scale sustainability assessmento Applied case studies demonstrating collaborative DT platformso Integration of AI, IoT, BIM, and GIS in construction and facility managemento Cross-sectoral demonstrators in energy, housing, mobility, and urban resilienceSubmissions should emphasize interdisciplinary, collaborative, and human-centered dimensions of Construction 5.0. Both empirical and design science research are encouraged. Manuscripts must clearly articulate implications for sustainability, circular economy, and trust in human–AI systems, and are encouraged to provide reproducible methods, scalable insights, and evidence of stakeholder collaboration. Topic editors: Géza Fischl, Ibrahim Yitmen Source: https://www.frontiersin.org/research-topics/74457/collaborative-intelligence-and-construction-50-digital-twins-ai-and-human-centered-approaches-for-sustainable-built-environment