
Disarming Disinformation: How Migrants Fall Victim to Disinformation
To fill the information gap brought on by complex migratory processes, poor institutional communication, and lack of trust in authorities, Latin American migrant communities

To fill the information gap brought on by complex migratory processes, poor institutional communication, and lack of trust in authorities, Latin American migrant communities

Data-Pop Alliance (DPA), in collaboration with Open Data Watch (ODW), was tasked with creating a pioneering gender data framework for urban environments, commissioned by

Phase 1: DPA, in collaboration with Abogadas MX, led the design and development of the Central Database and Customer Relationship Management (CRM) software for

DPA developed a four week training on qualitative and quantitative analysis and tools for the members of the Mexican CSO EQUIS Justicia para las

EmpoderaData built upon the success of the “Quantitative Step” (Q-Step) program, which was developed as a strategic response to the shortage of quantitatively-skilled social

In partnership with the United Nations Economic Commission for Latin America and the Caribbean (ECLAC), DPA offered a series of workshops focused on “Big

Data-Pop Alliance and Oxfam México formed a partnership through “DataMex”, with the goal of advancing research and the application of Big Data for sustainable

“OPAL for Public Data and Good” seeks to merge different “privacy enhancing techniques” (PETs), such as federated learning, differential privacy, and negative databases, to

Four research papers were developed in collaboration with and funded by the Agence Française de Développement (AFD) between 2016 and 2019 under a joint

In collaboration with Banorte (Mexican bank), and following DPA’s previous work on the impact of crime on consumption across gender and income groups, this

A study published by the Open Society Foundations has reported numerous “atrocity crimes” perpetrated in Mexico against the civilian population since 2006. Against this

“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

This project, developed in partnership with UNIDAS and GIZ Data Lab, leveraged traditional and non-traditional data sources to assess the reporting capability of women

Female and male commuters utilize public transportation differently, yet not enough is known about women’s commuting experiences and challenges. In countries such as Mexico

Developed in partnership with Cinvestav, a network of 11 STEM (Science, Technology, Engineering, and Mathematics) research centers across Mexico, this project aimed to provide