Latin America and the Caribbean

Latin America and the Caribbean (LAC)

Overview

Representing the entire continent of South America and the Caribbean Region, this region encompasses geographies ranging from the vast Amazon rainforest to tiny, dispersed islands. With well over half a billion people, it is also home to an impressive array of Indigenous peoples and diversity, although the region has also struggled with the legacy of European colonialism. While LAC includes some of the world’s largest economies (notably Brazil), it also faces a wide variety of development challenges. These include social and economic vulnerability, ever-increasing wealth stratification, political instability, and the threat of climate change, which is especially harmful to island nations.

Projects

Criteria: An Interactive Decision Support System

Criteria, a project led by Prosperia with funding from the Inter-American Development Bank (IDB) and support from Data-Pop Alliance, is an interactive decision support system that empowers policy-makers to explore, analyze, and take decisions on the basis of a large number of potential designs and targeting schemes for social policies. Criteria uses microsimulations on survey and administrative data to visualize the expected poverty impact of policy alternatives resulting from the COVID-19 pandemic, as well as their associated costs.

Big Data to Address Global Development Challenges (Paper Series)

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 Lab, Overseas Development Institute) titled “Strengthening the evidence-base for leveraging Big Data to address global development challenges”. This research program and papers were designed with the following objectives and criteria in mind: to focus on various development challenges in different local contexts to ensure relevance; to work with trusted partners to ensure academic quality; and to both reflect and promote key determinants of sustainable development, including smoother, fairer, and safer access to data and stronger links between analysts, local decision-makers, and communities. Individually, these papers outlined specific cases and examples of how computational analysis of behavioral data (combined with other datasets) can paint a finer-grained, more complex, and dynamic picture of human reality than ‘traditional’ data allows. Collectively, they sketched the contours of a world where public decisions, in the form of policies and programs, might someday be designed, implemented, and evaluated using the best available data and approaches.

Support to the Inter-American Development Bank in the Identification of Technological and Big Data Tools for Current, Ongoing, and New IDB Projects

This project aimed to support the Inter-American Development Bank (IDB) in preparing for the IDB Andean Summit event held on November 29, 2018, in Quito, Ecuador. A study was generated that identified new Big Data tools being developed and/or used by academic institutions, international organizations, and the public or private sector that would concretely benefit current and future IDB projects. Based on DPA’s experience, the consultancy’s goal was to contribute to the IDB’s knowledge, identification, and capabilities regarding available technological tools that provided observable material improvements at different stages of current or future projects. The study focused on IDB projects in five countries in the region.

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: one heavily affected by organized crime violence and another with low organized crime rates, where violence is mostly interpersonal. To this end, this scoping study aimed at building a research proposal for two cities, according to data availability (i.e. traditional and Big Data sources) and crime dynamics; suggested methodology, and potential partners.

Strengthening of Technical Capacities in Big Data for Sustainable Development in Latin America and the Caribbean (LAC)

This project developed with the support of the Spanish Agency for International Development Cooperation (AECID), strengthened the technical capacities of government officials in Latin America and the Caribbean to take advantage of Big Data for sustainable development and official statistics. During the first phase of the project, through an exploratory study, we analyzed the current state of the infrastructure, institutional framework, regulatory framework, capacities and use cases of Big Data for the generation of public policies in 5 LAC countries. The second phase focused on developing four capacity building workshops (Big Data for Sustainable Development, Big Data and Poverty, Big Data and Health, Big Data, Security and Violence). This training itinerary provided participants with a comprehensive knowledge of the key concepts, the necessary tools and the main challenges of Big Data for sustainable development, with a special emphasis on the applicability of these data sources for statistical purposes.

Parallel Worlds: Big Data and Inequality in Mexico City

“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 decisions that contribute to reducing social and economic segregation based on the privilege and marginalization associated with certain spaces in the city. More specifically, DPA analyzed urban inequality in Mexico City through the mapping of movement patterns in the city, using mobile data to identify segregation patterns in terms of where people live, work, and consume. The report analyzed three dimensions of inequality: 1) access to education, 2) the right to the city by analyzing exclusive spaces, and 3) access to culture. The results demonstrated that spatial inequality in Mexico City was marked by unequal access to government services and cultural sites, translating into unequal experiences of urban life and biased access to the city. The paper concluded with a series of public policy recommendations to foster a more equitable and inclusive appropriation of public space. A version of this paper was published in English by Projections, the Journal of the MIT Department of Urban Studies and Planning.

Reporting and Registering Domestic Violence Against Women and Girls in Mexico City, Bogota and Sao Paulo: A Data-Driven Model

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 registering domestic violence at the locality or municipal level, taking into account personal (e.g. age, educational attainment) and environmental factors (e.g. access to support services, human mobility during the COVID-19 quarantine). The report for Mexico is not available.

Assessing the Strategies to Achieve the Millennium Development Goals (MDGs) and the Sustainable Development Goals (SDGs) in Haiti

DPA, in support of Haiti’s Integrated National Financing Framework (INFF), and in close collaboration with the UNDP Haiti and the Ministry of Planning and External Cooperation (MPCE), has conducted a consultation with the objective of establishing a performance assessment of the achievement of the MDGs, deviations from targets, their justifications, and lessons learned. Additionally, the study measured the progress towards the achievement of the SDGs and proposed priority provisions and mechanisms for Haiti’s advancement towards them.

Mobility and Gender in Mexico City and Lima

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 insufficient. Together with the socially-focused company WhereIsMyTransport, DPA collected data via online surveys that reflects the issues faced by women transportation users in Mexico City, Mexico and Lima, Peru. The resulting paper highlighted the findings and provided actionable recommendations to empower female commuters and promote gender equality.

Capacity-Building Workshop on the Analysis and Application of Quantitative and Qualitative Data

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. In addition to showcasing different techniques and tools for data analysis, use cases based on real projects from the organization were leveraged to discuss specific topics. The content was divided into two workshops: the first focused on practical techniques and tutorials on data collection, storage and processing; and the second focused on how to incorporate basic notions of statistics, database reading, and use of visualizations.

Study of spatial distribution and dynamics of violence involving children and youth in urban settings of Port-au-Prince, Haiti

DPA, in collaboration with UNICEF Haiti, collaborated on a study to examine the effects of violence on children and youth in Port-au-Prince’s urban areas. The study aimed to: 1) Map violence involving or affecting children and youth, and identify affected areas’ socioeconomic characteristics, 2) Analyze the context to understand the factors driving children and youth to engage in violence, 3) Gather detailed data on the situation, its effects on children, recent trends, and existing initiatives addressing the issue, and 4) Develop strategies to prevent youth violence, protect children and youth, and address the root causes of violence. The study helped to understand the complex relationship between socio-economic factors, violence, and the experiences of children and youth in Port-au-Prince, Haiti.

Leveraging Non-Traditional Data to Monitor and Map Multidimensional Poverty in the Favelas of Brazil

This project aims to leverage novel ‘non-traditional’ data for mapping and monitoring multidimensional poverty in informal urban settings, while taking into account and reflecting context-specific nuances. It is carried out in partnership with and build on the work of the Brazilian NGO Gerando Falcões (GF), and focuses on 2 Brazilian favelas—Morro da Providência in Rio de Janeiro and Favela dos Sonhos in São Paulo. Concretely, we seek to evaluate and estimate different proxies from a subset of dimensions of the multidimensional poverty index developed by GF using survey data. These proxy estimates will help to map and monitor multidimensional poverty patterns and trends at fine grained levels of spatial and temporal granularity, and possibly at lower costs. The project should yield indicators and methodologies that could be expanded to other dimensions of the index, as well as other Brazilian favelas, and possibly other countries.