The project will leverage novel ‘non-traditional’ data sources and analytics approaches to provide better indicators and instruments for mapping and monitoring multidimensional poverty in two favelas in Brazil.
Racial Justice Data Project
DPA is developing a “Racial Justice Data Project” that will provide a transcontinental view of racial inequality and injustice through the collection of both qualitative and quantitative data from a wide variety of traditional and non-traditional sources (including existing datasets, reports from civil society organizations, legal documents, and social media) to present a fuller picture of the effects of racism … Read More
Crime and Inequality in Mexico
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 dynamics induced by crime across socioeconomic groups. This project showed the progress of DPA’s findings at the zip code level … Read More
DataMex
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 scoping study to identify the areas in which Big Data could be employed to better understand inequalities that have not … Read More
Characterizing and Analyzing Urban Dynamics In Bogota (from the Paper Series: “Big Data to Address Global Development Challenges”)
Four research papers were developed in collaboration with and funded by the French Development Agency (AFD) between 2016 and 2019 under a joint program with Data-Pop Alliance and research partners titled “Strengthening the Evidence-Base for Leveraging Big Data to Address Global Development Challenges”. This paper, “Characterizing and Analyzing Urban Dynamics in Bogota”, utilized open data and mobile phone records to … Read More
Human Mobility and Population Density in the Maldives
This project, supported by UNFPA Maldives and the National Bureau of Statistics, aimed to use Big Data to shed light on demographic features that have a wide range of implications for development policies and programs. Specifically, our partners at Fundazione Bruno Kessler (FBK) developed a prototype to analyze population density and movement patterns that leveraged call detail records (CDRs) and … Read More