Mission
Integrate computational and humanistic methods to study complex social phenomena and share results openly.
About us
Laboratory of Social Structures and Dynamics
The laboratory aims to produce frontier knowledge that helps explain the structure and dynamics of societies. We combine graph theory, statistical modeling, computer vision, and collection curation to craft new data-driven narratives.
Vision
Become a Latin American benchmark in network science and computational methods for the study of societies, including the social sciences and the humanities.
Focus areas
Knowledge that connects data, heritage, and society.
Computational Methods
Data science and graph analytics applied to social sciences and the humanities.
Historical and Cultural Studies
Research on art and heritage from historical, social, and cultural perspectives.
Conservation and Restoration
Cutting-edge methods applied to the conservation of cultural assets.
Research Technology
Methods transformed into tools.
LUPA
Turning research workflows into practice.
A research platform developed at LEDS to transform complex historical documents into structured and validated data, implementing workflows derived from GLIMPSE — Graph-based Language Interpretation and Modeling.
GLIMPSE
From complex sources to structured knowledge.
A reproducible methodology for transforming complex historical sources into structured and analyzable data. Defines how research moves from raw sources to validated data through adaptable stages of preparation, extraction, validation, and analysis.
Achievements
Results that reflect the work of our research community.
2023 · Research Funding
Ciencia de Frontera 2023
Relational Network Analysis Underlying Historical Texts: A Graph-Theoretical Approach
Project CF-2023-G-941 was selected for funding through Mexico's Ciencia de Frontera 2023 program. The research became the foundation for the development of the GLIMPSE methodology.