Towards a User's Manual of Building Worlds

AI-assisted cultural translation methodology bridging cutting-edge technology with traditional knowledge systems. Provides frameworks for helping agricultural communities adopt precision agriculture and mining communities understand proposed operations through innovative spatial visualization.

Research Documents

Methodology & Approach

Developed methodology for transforming conceptual frameworks into innovative spatial prototypes, directly applicable to helping farming communities understand and adopt precision agriculture technologies.
Created approaches for bridging AI/ML technologies with cultural frameworks, enabling translation between AI-driven agricultural insights and traditional farming knowledge systems.
Demonstrated capability to navigate ambiguous project requirements with confidence—essential for resource industry startups operating in uncertain regulatory environments and evolving market conditions.
Explored non-anthropocentric design approaches applicable to agricultural AI systems that account for soil microbiomes, plant communication networks, and ecosystem relationships rather than purely human-centered metrics.
Developed Unity and 3D world-building methodologies for helping mining communities visualize proposed operations, environmental impacts, and mitigation strategies bridging technical engineering data with lived spatial experience.

Resource Industry Applications