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.
Data for Refugees (D4R) Challenge in Turkey
For this challenge, Türk Telkom (the country’s leading telecommunication operator) in collaboration with Boğaziçi University, TÜBİTAK (Turkey’s Scientific and Technological Research Council), the MIT Media Lab, FBK, IOM, UNHCR, UNICEF, and Data-Pop Alliance, made several anonymized datasets of mobile phone users available to international research teams in order to develop projects to analyze and improve the living conditions of Syrian … Read More
Leveraging Behavioral and Humanitarian Data Sources to Analyze the Development Challenges Faced by Syrian Refugees and Host Communities in Lebanon
In partnership with United Nations Economic and Social Commission for West Asia (UN ESCWA) and the Qatar Computer Research Institute (QCRI), this project aimed to understand the extent to which particular sets of non-traditional data sources — or crumb — and methodologies related to Artificial Intelligence can provide insights on the living conditions of Syrian Refugees and host communities in … Read More
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
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