Design Agenda

1 

Advance spatial equity through hybrid connectivity and inclusive access

As sensing systems, spatial intelligence, and immersive environments become embedded within everyday life, connectivity can no longer be understood solely as broadband coverage or device availability. Emerging research increasingly frames spatial infrastructure as a layered civic condition, where access to location-aware systems, intelligent environments, and adaptive digital services shapes participation in economic, educational, and social life. Hybrid connectivity models spanning terrestrial, orbital, edge, and ambient networks are therefore becoming essential to reducing spatial inequality. Ensuring that intelligent infrastructure remains accessible beyond concentrated urban and commercial centers.

2

Recognize and govern spatial signals as public-interest infrastructure

Spatial signals are evolving from passive metadata into a foundational layer of civic intelligence. Location streams, environmental sensing, mobility flows, and behavioral interaction data increasingly shape decision-making across transportation, emergency response, healthcare, energy, and urban governance. Contemporary geospatial frameworks now position these systems as forms of digital public infrastructure requiring ethical stewardship, interoperability, transparency, and public accountability. Governing spatial signals as public-interest infrastructure establishes a framework where sensing ecosystems are treated not only as commercial assets, but as strategic societal resources supporting resilience, coordination, and equitable participation.

3

Harmonize physical, digital, and perceptual systems through adaptive standards and open design

The convergence of cyber-physical systems, immersive interfaces, digital twins, and ambient intelligence is dissolving historical boundaries between built environments and computational systems. In response, standards can no longer remain static technical frameworks operating independently across sectors. Adaptive interoperability, semantic integration, and open architectural design are emerging as critical principles for enabling coordination between physical infrastructure, intelligent software, and perceptual interfaces. Research across geospatial ecosystems and immersive technologies increasingly emphasizes dynamic, machine-readable, and context-aware standards capable of supporting real-time interaction across distributed systems and diverse populations

4

Reframe immersive and perceptual systems as components of civic infrastructure

Immersive technologies are rapidly evolving beyond entertainment and visualization toward operational, educational, industrial, and public-sector applications. Spatial computing, augmented environments, digital simulation, and perceptual interfaces increasingly shape how people navigate cities, access services, collaborate remotely, and engage with institutions. As these systems become embedded within transportation, healthcare, public spaces, and governance, immersive environments should be understood as components of civic infrastructure rather than isolated consumer technologies. This reframing positions perceptual systems as environments that influence participation, inclusion, cognition, and social coordination at the infrastructural scale.

Datascape: Cognitive Infrastructure Intensity

Composite signals of connectivity, sensing, spatial compute and human-AI interaction to define environments capable of supporting adaptive, perceptual technologies.

• East Asia (incl. China) demonstrates strong sensing density and rapid infrastructure deployment
• North America  shows deep compute capacity and platform ecosystems
• Northern Europe exhibits balanced integration supported by coordinated public infrastructure
• Other regions show partial development, often strong in connectivity, but less mature in sensing or spatial computing

Datascape: Model & Compute Concentration

Concentration of large-scale model training, hyperscale infrastructure, AI research, and investment as an upstream influence on cognitive infrastructure.  

• North America's signal intensity is strongest, where hyperscale compute infrastructure and frontier AI labs converge.
• China demonstrates rapid scaling of sovereign model ecosystems.
• The UK appears as a concentrated research node, with strong academic and venture activity in frontier AI.
• East Asia (excl. China) shows strong concentration of applied AI infrastructure and platform-scale ecosystems.
• Northern Europe shows mature digital infrastructure and coordinated innovation environments, though less concentration of large-scale model training clusters.

As sensing, connectivity, compute, and interaction systems converge, environments become increasingly measurable and responsive, with significant advances in equitable access for open and inclusive innovation.