Mexico

To fill the information gap brought on by complex migratory processes, poor institutional communication, and lack of trust in authorities, Latin American migrant communities transiting through Mexico on their way to the USA often resort to the use of social...

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 the City Hub and Network for Gender Equity (CHANGE). This framework was intended for implementation across...

Phase 1: DPA, in collaboration with Abogadas MX, led the design and development of the Central Database and Customer Relationship Management (CRM) software for the “Standards for Diversity and Inclusion in Law Firms in Mexico” Program. This included the creation...

DPA developed a four week training on qualitative and quantitative analysis and tools for the members of the Mexican CSO EQUIS Justicia para las Mujeres. The training included different sessions, with online and in-person guided tutorials conducted by DPA facilitators....

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 science graduates in the United Kingdom. Together, University of Manchester and Data-Pop Alliance expanded upon the...

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 and the Digital Economy” in the Latin American and Caribbean region. These workshops were designed...

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 development in Mexico. This agreement, signed in late 2018, has since led to a consultancy and...

“OPAL for Public Data and Good” seeks to merge different “privacy enhancing techniques” (PETs), such as federated learning, differential privacy, and negative databases, to allow trusted third parties such as researchers or official institutions to analyze censuses or national surveys’...

Four research papers were developed in collaboration with and funded by the Agence Française de Développement (AFD) between 2016 and 2019 under a joint program with Data-Pop Alliance and research partners (Cloud to Street, Flowminder, Harvard Humanitarian Initiative, MIT Media...

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 assessment focused on the quantification, at a fine-grain and large scale, of the disruption and recovery...

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...

“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...

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 and girls in Mexico City, Bogota and Sao Paulo. The analytical model estimated the probability of...

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 and Peru, gendered perspectives in public policy are starting to be considered, but public action remains...

Developed in partnership with Cinvestav, a network of 11 STEM (Science, Technology, Engineering, and Mathematics) research centers across Mexico, this project aimed to provide an institutional gender assessment of the challenges that women working and studying in the network face...