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Mapping Design Science

PROJECT
As design science expands across disciplines, its intellectual structure becomes increasingly difficult to understand as a whole. This project develops computational approaches for mapping design research, revealing recurring questions, themes, methods, theoretical foundations, and scholarly communities.

APPROACH
Large bodies of scholarly literature are analyzed computationally to identify structures that would be difficult to expose through conventional manual review alone. Individual studies examine design computing and CAAD research while contributing toward a broader map of design science.

CONTRIBUTION
The project develops a scalable way of understanding the structure and evolution of design knowledge, helping researchers locate connections across domains, recognize underexplored areas, and identify emerging directions.

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ROLE
COLLABORATORS
TECHNOLOGY
AFFILIATION
FUNDING

Principal Investigator
McComb, C. · Lukyanenko, R. · Zeng, Y. · Li, H. · Yang, J. · Osaragi, T. · Fujii, H.
Machine Learning · NLP · Literature Mapping · Computational Review
Institute of Science Tokyo
Institutional fund

© 2026 Yuval Kahlon

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