DPA, in collaboration with UNICEF Haiti, developed a study aimed to understand the spatial distribution, socio-economic factors and impact on children (under 18 years of age) and youth (18-24 years of age) affected by the violence as well as the dynamics of children and youth participation in violent activities in targeted urban settings of Port-au-Prince’s metropolitan area, across multiple sectors.
Parallel Worlds: Big Data and Inequality in Mexico City
“Parallel Worlds” is a project developed by the Data-Pop Alliance and Oxfam México, with the purpose 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 … Read More
Scoping Study for a Comparative Research on Crime Risk Factors Using Big Data
A study published by the Open Society Foundations has reported numerous “atrocity crimes” perpetrated in Mexico against the civilian population since 2006. Against this backdrop, with United Nations Office on Drugs and Crime (UNODC) support, DPA sought to gain better insights into organized and interpersonal crime, by undertaking a scoping study to build a comparative research study in two cities: … Read More
Ciudata Segura
Increasingly, data and information are being promoted as a powerful tool to understand and prevent crime and violence. However, there are two key questions that remain largely unanswered: 1) Why is crime clustering in certain neighborhoods? 2) Why do certain individuals turn to crime and not others? Leveraging sophisticated analyzes about urban crime and violence in Latin America and the … Read More