"Big Data and Development: An Overview"

“Big Data and Development: An Overview”

Population 2021
(Millions)

HDI Score
2019 (Max. 1)

SDG Score
2020-2021
(Max. 100)

Gender Inequality
Index Score
(Max. 1)

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

This White Paper was written by Emmanuel Letouzé in collaboration with SciDev.net and the World Bank Group.

“Big Data and Development: An Overview” describes the fundamental nature of Big Data as an ecosystem and how it engages with society. The Big Data ecosystem is stimulated by a supply for data and analytics capacities and the demand for better, faster, and cheaper information. The purpose of Big Data is threefold: descriptive, predictive, and prescriptive.

Although Big Data has promising applications to real-world problems, it is met with warnings and risks–the most severe being risk to individual privacy, identity and security. In addition, there are important questions about “data anonymisation” and validity relating to the application of Big Data analysis. In response to these challenges and risks, the paper explores the future of Big Data and how it will be shaped by academic research, legal, and technical frameworks for ethical use of data, and larger societal demands for greater accountability and participation.

Projects

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 (see Publication below), 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: Bolivia, Dominican Republic, El Salvador, Guatemala and Peru.

The second phase focused on developing four capacity building workshops between June 2022 and March 2023.

Introduction to Big Data for Sustainable Development
Big Data and Poverty Analysis for Sustainable Development
Big Data and Health Analysis for Sustainable Development
Big Data, Security and Violence for Sustainable Development

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.

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: Bolivia, Colombia, Ecuador, Peru, and Venezuela.