Towards a human science of digital space.
Cognition, Design, Performance

Treasury Science is an initiative to advance the understanding of spatial technology for health, education, and social impact, focused on the human science of digital space.

The science program spans natural and social sciences, design practice, and technical development. Treasury Science is led by Dr. Julia Scott, Treasury CEO and architect John Manoochehri, and research, design, and technology partners.

These themes build on learnings from how physical environments inform cognitive states and ask how physical and digital environments can inform each other for better performance, wayfinding, interaction, and evaluation.

Cognition of Digital Space

  • How do digital spatial environments inform cognitive states: emotional, embodied, memory, perception, and beyond?
  • How are physical and digital environments similar and different with regard to cognitive states, and what unique mental constructs emerge across combined domains?

Design Practice for Digital Space

  • How does emerging best practice and theory in cognition of digital spaces inform built design research and practice?
  • Where can digital environments facilitate live testing, iteration, and collaborative design methods?
  • How do wayfinding, navigation, object and agent interaction, and association work in digital environments, and can this guide the development of physical spaces?

Performance Measures of Digital Space

  • What new measures need to be developed to assess environmental performance of digital space?
  • How can performance of digital environments be measured in a multidimensional framework?
  • How can performance measurement be suitably calibrated?

Activities

  • Low or no-cost use of Treasury creators’ assets in research and social-impact contexts.
  • Informal, research-driven discussion and information dissemination.

Calibration Environment remains the first canonical Science tool on shared Composer, preserving the spatial cognition and environment-generation workflow without reviving a standalone runtime fork.