Una ruta para estudiar las teorías de la arquitectura latinoamericana contemporánea: de los métodos cualitativos tradicionales a la inteligencia artificial
This text examines the methodological development used to explore a field that remains under-researched in the 21st century: Latin American architectural theories. Addressing this topic is essential, given the vast array of dissemination materials and the thematic, contextual, and ideological differences that characterize them. To address this, we outline the transition from a traditional qualitative research approach to the development of an artificial intelligence model. This process includes an explanation of the analytical framework—comprising seven approaches—the selection of academic journals as primary sources, and the validation of both through a natural language processing model.
Authors
- Diana Duque (ORCID: https://orcid.org/0009-0002-8518-2669)
- Omar Andrés Campos Rivera (ORCID: https://orcid.org/0000-0001-5189-062X)
- Diego Alejandro Romero Sánchez (ORCID: https://orcid.org/0000-0001-8110-7923)
Institutions
- University of Manchester (GB)
- Universidad Nacional de Colombia (CO)
Publication Details
- Journal
- Dearq
- Published
- 2025-05-30
- DOI
- https://doi.org/10.18389/dearq42.2025.04
- Citations
- 1
- Primary Topic
- Architecture and Art History Studies
- Type
- article
- Field-Weighted Citation Impact
- 26.93