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Research scope
3
Focus
Cross-disciplinary research across AI, XR, and IoT
Research areas
Each area pairs a research question with methods and deliverables, so academic collaboration and applied projects can sit within one coherent structure.
Cross-disciplinary research and method integration
Human-centered AI for archives, language, and cultural analysis.
Cross-disciplinary research and method integration
Sensor-driven research infrastructure and field deployment.
Cross-disciplinary research and method integration
Immersive media for cultural memory, ritual interaction, and public engagement.
approachSection
We begin with a humanities question and bring together data analysis, prototype design, and field deployment, treating method itself as part of the research output.
01 Co-design
Define questions and workflows with research partners, students, and institutions.
02 Prototyping + analysis
Turn data, visuals, and interactive systems into testable research interfaces.
03 Publication + transfer
Package outcomes into papers, reports, exhibitions, and reusable research assets.
Collaboration
If you want to discuss research design, teaching collaboration, student involvement, or institutional partnerships, this is the most direct entry point.
We welcome cross-department, cross-institution, and industry-facing proposals.
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