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Research
Our interdisciplinary research connects computational methods with cultural inquiry.
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.
Archives, language, and cultural analysis
Human-centered AI for archives, language, and cultural analysis.
Sensor-driven research infrastructure
Sensor-driven research infrastructure and field deployment.
Immersive interpretation and public engagement
Immersive media for cultural memory, ritual interaction, and public engagement.
Our Approach
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.
Contact Us