Starting point: 

How will the increasing sustainability pressures shape the Architecture, Engineering, and Construction sector and its business models, specifically considering the building life cycle? 
This topic may include consideration of initiatives that can accelerate digital sustainability in the sector and reach sustainability goals. 

Project Summary: 

Background:
The Architecture, Engineering, and Construction (AEC) sector is at a pivotal moment where integrating digital transformation with sustainability is not just a priority but a necessity. As cities face growing environmental pressures, the adoption of digital solutions to drive sustainability goals has become essential. This research examines how digital transformation can accelerate sustainability across different scales—macro (cities), meso (blocks/districts), and micro (buildings and business models). It aligns with the United Nations’ Sustainable Development Goals, focusing on how AI-driven, data-centric approaches can contribute to these objectives within the AEC sector.

Project Summary:
This research investigates the role of digital transformation in promoting sustainability in the AEC sector, using a multi-scalar approach at the macro, meso, and micro levels. The methodology is based on Design Science Research (DSR), which emphasizes the iterative design and refinement of innovative solutions to real-world problems. The research aims to uncover the synergies between AI technologies, data-driven methods, and sustainability goals, offering a scalable blueprint for addressing global sustainability challenges through digital means.

• Macro Level (Cities): The first study explores how AI and digital tools can shape sustainable urban design, addressing challenges like resource efficiency, pollution reduction, and climate resilience. Using Action Design Research (ADR), it develops urban design strategies that integrate data-driven insights, aiming to create cities that are both smart and sustainable.

• Meso Level (Block/District): The second study focuses on how digital technologies can foster inclusive and resilient neighborhoods. It examines the intersection of digital and social sustainability, exploring how AI tools can enhance community engagement, resource sharing, and local sustainability initiatives.

• Micro Level (Buildings and Business Models): The final study investigates the integration of digital sustainability into building design and construction, with a focus on developing sustainable business models. It uses case studies to identify best practices that can contribute to the overall sustainability of the AEC sector.

Research Objectives and Methodology:
This topic aims to develop a comprehensive understanding of how digital transformation can strategically accelerate sustainability in the AEC sector. Focusing on AI-driven, data-centric systems, the research employs DSR to design and refine solutions that are scalable and adaptable across different urban environments. Case studies at the micro level explore how digital tools have transformed a company’s business model to align with sustainability goals, providing practical insights for future innovations in the sector.

This research contributes to the growing body of knowledge on digital transformation and sustainability within the AEC sector, offering practical tools and strategies to help shape a more sustainable future for the built environment.