DataFeed

Brazil

213.9

Population 2021
(Millions)

0.77

HDI Score
2019 (Max. 1)

72.8

SDG Score
2020-2021
(Max. 100)

0.41

Gender Inequality
Index Score
(Max. 1)

23

Internet Inclusivity
Index 2022
(100 countries)

Sources: 1. World Bank (2021), 2. UNDP (2019), 3. Sustainable Development Report (2021), 4. UNDP (2019), 5. Economist Impact (2022).

Overview

As the largest country in South America in terms of land, population and economic output, Brazil has an outsized impact both regionally and globally. With diverse geography ranging from the Amazon Rainforest to mountains and plateaus, this vast country also faces a number of development challenges. These include violence against women and gender disparities, being the county with the 5th highest rate of femicides worldwide. Additionally, despite astonishing economic growth, Brazil is also characterized by extreme income inequality, with the top 1% of households taking an equal share of national income to that of the bottom 50% (some 80 million people). This inequality contributes to a myriad of issues, including violence, instability, and high poverty rates.

Projects

Professional Training Program “Leveraging Big Data for Sustainable Development”

  • Colombia, Kenya, Senegal, Brazil, Tunisia,
  • 2016 - 2019
  • P2 - AI and Statistics for the SDGs

Carried on in partnership with United Nations System Staff College (UNSSC), this series of courses aimed to help practitioners and policy-makers to develop and implement Big Data innovation projects, policies, and partnerships in support of sustainable development objectives. The content was structured into three main modules: contexts and concepts; methods and tools; and strategy and conception / ethics and engagement. The workshops were delivered in Cambridge at MIT (June 2016), Bogotá (December 2016), Nairobi (June 2017), Dakar (March 2018), Bangkok (March 2018), and the MIT Media Lab (October 2018). The same workshop was also conducted in Tunisia (April 2019) with support from UN Tunisie.

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Professional Training Program “Big Data for Measuring the Digital Economy”

  • Brazil, Colombia, Dominican Republic, Mexico,
  • 2016 - 2019
  • P2 - AI and Statistics for the SDGs

In partnership with the United Nations Economic Commission for Latin America and the Caribbean (ECLAC), DPA offered a series of workshops particularly focused on Big Data and the Digital Economy in the Latin American and the Caribbean region designed for development practitioners, policymakers, and researchers. Five editions were delivered in: Santiago de Chile (March 2016), São Paulo (September 2017) —in partnership with Cetic.br—, Mexico City (October 2017) —in collaboration with the National Digital Strategy (EDN) program and the MIT Sloan School of Management—, Santo Domingo (April 2019), and Bogotá (May 2019) —in partnership with DANE.

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Workshop on Survey Methodology with CETIC & NIC

  • Brazil,
  • 2016 - 2019
  • P2 - AI and Statistics for the SDGs

Data-Pop Alliance offered training in São Paulo with the Regional Center for Studies on the Development of the Information Society (CETIC) and the Brazilian Network Information Center (NIC) annually from 2016 through 2019. The 2019 edition included a session by DPA Director and Co-Founder Emmanuel Letouzé titled “Data for Public Statistics: Data Science, Big Data & Artificial Intelligence”, click below to explore it.

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EmpoderaData

  • Mexico, Brazil, Colombia,
  • January - June 2019
  • P2 - AI and Statistics for the SDGs

EmpoderaData builds 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 program’s excellent results, exploring this model in the Global South as the “EmpoderaData Project”. The project aimed to promote a virtuous cycle of social transformation by fostering data literacy skills applied to addressing our society’s most pressing issues in the framework of the Sustainable Development Goals (SDGs).

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Workshop “Web Data Collection and Analysis”

  • Brazil,
  • November 2019
  • P2 - AI and Statistics for the SDGs

In November 2019, Data-Pop Alliance, in partnership with ECLAC and IBGE, conducted its first technical workshop in Rio de Janeiro, tailored specifically to the needs of the staff at the Brazilian National Statistical Office (IBGE). The goal was to help them to build and strengthen internal capacities to leverage web data collection and analysis in their projects. ​The workshop emerged as part of the broader training program carried out with ECLAC in the Latin America and Caribbean region: “Big Data for Measuring the Digital Economy”.

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Using Misinformation as a Political Weapon: COVID-19 and Bolsonaro in Brazil

  • Brazil,
  • April 2020
  • P6 - Technology & Democracy

With over 30,000 confirmed cases, Brazil is currently the country most affected by COVID-19 in Latin America, and ranked 12th worldwide. Despite all evidence, a strong rhetoric undermining risks associated to COVID-19 has been endorsed at the highest levels of the Brazilian government, making President Jair Bolsonaro the leader of the “coronavirus-denial movement”. To support this strategy, different forms of misinformation and disinformation have been leveraged to lead a dangerous crusade against scientific and evidence-based recommendations. The article was published by the Harvard Kennedy School Misinformation Review.

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Criteria: An Interactive Decision Support System

  • Brazil,
  • March - December 2020
  • P3 - Resilient Livelihoods and Ecosystems

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.

Report “Digital Technology Shaping Green and Sustainable Lifestyles: Exploring Alipay Ant Forest”

  • Brazil,
  • May 2019 - July 2020
  • P1 - Just Digital Transformations

This report analyzes Alipay’s Ant Forest’s exponential growth and its trajectory and vision to unlock the power of individual behavior change for climate change mitigation. It explains how this green initiative (via digital functions) has managed to encourage users to engage in low-carbon activities in their daily life. It estimates that the market size for an innovation such as Alipay Ant Forest is roughly 3 times the current population of the United States, noting that up to 8.6% of emissions tied to public transportation could be avoided across seven high emission countries if similar green initiatives were to be implemented over the 2020-2030 period. This project was carried out with the support of the Sustainable Digital Finance Alliance and UNEP Inquiry.

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Evaluation of the EU Cooperation with the World Bank

  • European Union, Brazil,
  • April 2022 - May 2023
  • P1 - Just Digital Transformations

This evaluation, led by our partner ADE, provides an overall independent assessment and evidence on the WB cooperation in external action building via an ex-post and prospective analysis of the partnership. Among other research objectives, the evaluation assesses the achievement of EU objectives and priorities in the field of international cooperation and development as a result of this partnership; the reinforcement of the role of the EU as an international actor and a global player; the promotion of multilateral dialogue, solutions, and cooperation; and the effective and efficient delivery of development support to countries and development partners. It also provides a roadmap to gauge the opportunities and constraints the EU faces in relation to its partnership with the WB.

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

  • Brazil, Colombia, Mexico,
  • June 2020 - February 2021
  • P4 - Data Feminism

This project, developed with support from 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.

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