UNFPA Big Data Bootcamp

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

Data-Pop Alliance provided technical support to UNFPA’s Big Data Bootcamp that took place at Betahaus Barcelona in February 2015. 

The Bootcamp was structured around a series of presentations, group work, collective brainstorming sessions, and networking events, using a ‘design thinking’ approach to help UNFPA craft its Big Data engagement strategy for the next few years. It was led by Data-Pop Alliance’s Advisory Board member Bruce Campbell, Head of UNFPA Data Division, and Research Affiliate Sabrina Juran.

Emmanuel Letouzé, Director and co-founder of Data-Pop alliance, provided an overview of the state and future of the field of Big Data and Development and helped design the event’s agenda. Data-Pop Alliance was also represented by our co-Director for ODI Emma Samman, as well as our Research Affiliates Julia Manske (Stiftung Neue Verantwortung think tank), Yves-Alexandre de Montjoye (MIT Media Lab), Nuria Oliver (Telefonica), and Emilio Zagheni (U. of Washington).

Projects

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.

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.