D4R

D4R

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 4 Refugees : Turkey

A Big Data Challenge co-organized by Türk Telekom, Bogazici University and Tübitak in collaboration with Fondazione Bruno Kessler (FBK), MIT Media Lab, Data-Pop Alliance, UNHCR, IOM and UNICEF. Türk Telekom opened several datasets of anonymized CDRs to researcher groups for the purpose of providing better living conditions to Syrian Refugees in Turkey, with a specific focus on safety, health, education, unemployment and integration.

Winners were announced in October 2018. View the list here.

 

Publications

The Data for Refugees (D4R) Challenge is a non-profit challenge initiated to improve the conditions of the Syrian refugees in Turkey by providing a special database to scientific community for enabling research on urgent problems concerning refugees, including health, education, unemployment, safety, and social integration. 

This book (2019) summarizes the most important findings of the Data for Refugees (D4R) Challenge, in which more than 100 teams from around the world participated, with 61 having had granted access to the data.  



Learn More

More information on the project will be available soon.
For inquiries, please contact us at contact@datapopalliance.org

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.