DigiBUILT 2026
DigiBUILT 2026 is where the future of the built environment comes alive on a global digital stage.
This purely virtual event brings together researchers, industry leaders, innovators, designers, engineers, planners, and technology pioneers to explore the breakthroughs reshaping how we design, build, operate, and reimagine our buildings, infrastructure, and cities. From NeuroArchitecture and human-centred design to intelligent building systems, digital twins, smart technologies, and the digital built environment, DigiBUILT 2026 is a dynamic virtual meeting point for the ideas, tools, and conversations defining the next era of the built world.
Across three visionary pillars, DigiBUILT 2026 showcases the power of digital transformation at every scale — from the neuroscience of space and evidence-based design to AI-driven building intelligence, energy optimisation, computational workflows, urban simulation, and lifecycle asset innovation. In an accessible online format, participants from around the world can connect, share insights, present cutting-edge research, and engage with a global community driving change across AEC and the built environment.
Wherever you are, DigiBUILT 2026 invites you to log in, connect, and help shape a smarter, more human, and more intelligent future.
DigiBUILT 2026 will be organized in conjunction with GDI 2026!
If your work focuses on the physical, environmental, and human elements of the built environment, submit to GDI 2026; if your research centres on the digital frontier, including AI, digital twins, smart systems, and computational workflows, submit to DigiBUILT 2026.
DigiBUILT PILLARS & TRACKS
PILLAR A — NeuroArchitecture
Track A.1: Brain, Body and the Built Environment
- Neuroscientific foundations of spatial perception and environmental cognition
- How light, materiality, scale and proportion shape stress, mood and attention
- Sensory environments: acoustic, thermal, olfactory and haptic design responses
- Biophilic design principles grounded in evolutionary neuroscience
- Measuring physiological responses to architectural space in real time
Track A.2: Evidence-Based Design and Human Performance
- Cognitive performance, creativity and productivity in workspace design
- NeuroArchitecture in healthcare: reducing anxiety and improving recovery outcomes
- Learning environments designed around neurodevelopmental research
- Design for mental health, stress reduction and psychological safety
- Post-occupancy evaluation through a neuroscientific lens
Track A.3: Neurotechnology and Spatial Experience Research
- EEG, fMRI, eye-tracking and galvanic skin response in architectural research
- Virtual reality environments for pre-occupancy neuro-evaluation of design
- Wearable biosensor integration in building occupant studies
- AI analysis of neurophysiological data for design validation
- Ethical considerations in neuroimaging and human subjects research in AEC
Track A.4: Inclusive Design, Embodied Cognition and Wellbeing
- Designing for neurodiversity: autism, ADHD and sensory processing differences
- Age-inclusive environments informed by cognitive ageing research
- Embodied cognition theory and its application in spatial planning
- Cross-cultural neuroscience and its implications for architectural universality
- Integrating wellbeing frameworks (WELL, Fitwel) with neurological evidence
PILLAR B — Intelligent Buildings
Track B.1: Smart Building Systems and Cyber-Physical Intelligence
- IoT sensor networks for real-time occupancy, energy and environmental monitoring
- AI-driven building management systems: adaptive control and autonomous response
- Edge computing and on-premise intelligence for low-latency building decisions
- Interoperability standards: BRICK, Haystack, FIWARE and open platforms
- Cyber-physical convergence: closing the loop between digital models and physical systems
Track B.2: Energy Intelligence and Net Zero Performance
- Machine learning for energy consumption prediction, fault detection and optimisation
- Demand response strategies and grid-interactive intelligent buildings
- Reinforcement learning for adaptive HVAC, lighting and façade control
- Building energy digital twins for continuous commissioning and retrofit planning
- Whole-life carbon tracking and operational energy benchmarking at scale
Track B.3: Occupant-Centred Intelligence and Adaptive Environments
- Behavioural analytics and personalised environmental control
- Occupant wellbeing monitoring: air quality, thermal comfort and circadian lighting
- Generative AI for responsive interior environments and programmable space
- Privacy-preserving occupancy sensing and ethical data use in smart buildings
- Feedback loops between occupant experience data and building operation
Track B.4: Predictive Maintenance, Structural Health and Asset Intelligence
- AI-driven predictive maintenance: from reactive repair to anticipatory asset care
- Distributed sensor systems for structural health monitoring of high-rise and complex assets
- Digital twin-enabled risk assessment and remaining useful life estimation
- Automated inspection using drones, LiDAR and computer vision
- Cybersecurity resilience in connected building infrastructure
PILLAR C — Digital Built Environment
Track C.1: BIM, Digital Workflows and Computational Design
- OpenBIM, IFC and interoperability across the full project lifecycle
- Computational and parametric design: algorithmic and topology-driven workflows
- Text-to-BIM, generative AI and LLMs for design generation and code compliance
- Automated regulatory submission, compliance checking and digital consent
- BIM for infrastructure: roads, rail, utilities and underground assets
Track C.2: Digital Twins, Simulation and Urban Intelligence
- Semantic digital twins integrating BIM, IoT and GIS at precinct and city scale
- Urban digital twins for infrastructure planning, resilience and emergency response
- Physics-based and data-driven simulation: energy, structural, CFD and acoustic
- Multi-objective optimisation for carbon, cost and comfort trade-offs
- AI-driven urban analytics: land use prediction, mobility modelling and growth simulation
Track C.3: Digital Construction Delivery and Project Intelligence
- AI-driven project scheduling, 4D simulation and construction delay prediction
- Autonomous and robotic systems on construction sites: progress, safety and precision
- Digital procurement, smart contracts and supply chain transparency
- Lean-digital integration: combining lean principles with intelligent construction tools
- Off-site and modular manufacturing: digital control and factory-to-site workflows
Track C.4: Data Governance, Responsible AI and the Future of Practice
- Ethical AI frameworks for automated planning, design and regulatory decisions
- Algorithmic bias in housing, zoning and urban AI systems
- Data sovereignty, digital rights and governance of built environment platforms
- Circular economy enablement: material passports, digital tracking and end-of-life modelling
- Emerging frontiers: quantum computing, blockchain and Web3 in AEC practice