Parallel Worlds: Big Data and Inequality in Mexico City

“Parallel Worlds” was a project developed by Data-Pop Alliance and Oxfam México to analyze inequality in Mexico City using mobility data provided by Cuebiq’s Data for Good program. The project aimed to inform and influence public policy actors in making decisions that contribute to reducing social and economic segregation based on the privilege and marginalization associated with certain spaces in the city.

Data-Pop Alliance analyzed urban inequality in Mexico City by mapping movement patterns in the city, using mobile data to identify segregation patterns related to where people live, work, and consume. The report analyzed three dimensions of inequality: access to education, the right to the city by analyzing exclusive spaces, and access to culture.

The results demonstrated that spatial inequality in Mexico City is marked by unequal access to government services and cultural sites, leading to unequal experiences of urban life and biased access to the city. The paper concluded with a series of public policy recommendations to foster a more equitable and inclusive appropriation of public space. A version of this paper was published in English by Projections, the Journal of the MIT Department of Urban Studies and Planning.