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Project

Collecting Community-Based Data for Informal Settlements

Andres Rico, Leticia Izquierdo, Mónica Gómez

Groups

What does it take to generate reliable data in places where official records do not exist?

Collecting Community-Based Data in Informal Urbanism is a research project exploring diverse methods for generating reliable and meaningful data about informal settlements and translating that knowledge into community-driven interventions. Through a multi-year case study in Lomas del Centinela, Mexico, the project combines participatory approaches, surveys, structured interviews, spatial analysis, sensing technologies, remote sensing, and visual documentation to better understand everyday infrastructure, resource use, and community practices. These data collection methods informed the co-design and implementation of practical interventions, including renewable energy solutions, food production systems, water monitoring technologies, and community safety mapping. The work demonstrates how flexible, context-sensitive research can both deepen understanding and support inclusive, locally grounded urban transformation.

The project was structured around four core axes of work: energy, water, food systems, and mobility and safety. Before applying contemporary tools, we examined the historical evolution of research on informal urbanism, from early observational and ethnographic approaches to more recent participatory frameworks and technology-enabled diagnostics. Building on this foundation, we implemented a mixed-method strategy tailored to each axis. Across multiple years, we combined surveys, structured interviews, behavioral mapping, videography, drone-based remote sensing, mobile applications, and wireless sensor networks to generate layered insights into both physical infrastructure and everyday practices. This integrated approach allowed us to move beyond single-method diagnostics and instead construct a multidimensional understanding of how resource management, spatial conditions, and social dynamics interact within the settlement. The result was a set of community-informed interventions that were technically grounded, culturally contextualized, and aligned with long-term urban sustainability goals.

This project was developed through a collaboration between the MIT Media Lab’s City Science group and the University of Guadalajara as part of the Global City Science Network. The partnership integrates international research expertise with deep local knowledge and community engagement. By working closely with faculty, students, and community members in Guadalajara, the collaboration enabled long-term fieldwork, participatory research, and the deployment of innovative data-collection methods. This cross-institutional model demonstrates how global research networks can support locally grounded solutions to complex urban challenges.

External Collaborators

  • Mayra Gamboa
  • Mónica Gómez
  • Eduardo Delgado