Mundos paralelos: Big Data y desigualdad en la Ciudad de México

“Mundos paralelos” es un proyecto desarrollado por Data-Pop Alliance y Oxfam México, cuyo propósito es analizar la desigualdad en la Ciudad de México, utilizando datos de movilidad proporcionados por el programa Data for Good de Cuebiq. Se tomó como estudio de caso la forma en cómo dos sectores socioeconómicos opuestos (los “mundos paralelos”) se apropian de los espacios que conforman la urbe y la posibilidad de encuentro entre estos dos mundos económica y geográficamente distantes. El informe analiza tres dimensiones de la desigualdad: i) en el acceso a la educación, ii) el derecho a la ciudad, mediante el análisis de espacios de carácter exclusivo, y iii) en el acceso a la cultura.

Note: In accordance to its privacy policy, Cuebiq does not collect data from minors. Therefore, the “stays” reported in primary schools were inferred based on the activity of visitors that could potentially be parents, teachers, administrative personnel, etc.

Topics

Geographies of Inequalities

Author(s)

Author(s): 
Berenice Fernandez Nieto, Brennan Lake, Diego Vazquez, Guillermo Romero, Julie Ricard, Luis Garcia Rueda, Milena Dovalí Delgado, Rodrigo Lara Molina

Partner Organization(s)

Cuebiq, Data-Pop Alliance, OXFAM México

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