Critical data for global, regional and national development policymaking is still lacking. Many governments still do not have access to adequate data on their entire populations. This is particularly true for the poorest and most marginalized, the very people that leaders will need to focus on if they are to achieve zero extreme poverty and zero emissions by 2030, and to ‘leave no one behind’ in the process. Big data can shed light on disparities in society that were previously hidden. For example, women and girls, who often work in the informal sector or at home, suffer social constraints on their mobility, and are often marginalized in both private and public decision-making.*
This C4D and Big Data section provides practical examples of how to use Big Data and in C4D related programming – including tackling common issues and providing successful case studies.
*(Text taken from UN’s Big Data for Sustainable Development)
Latest Big Data & Mapping News and Resources
Making Informal Settlements ‘Visible’ Through Datafication: A Case Study of Quarry Road West Informal Settlement, Durban, South Africa
AI Global Surveillance Technology
Data Playbook Toolkit
Rewards and risks in humanitarian AI: an example
Data for Development: An Evaluation of World Bank Support for Data and Statistical Capacity (IEG, 2018)
Choosing and engaging with citizen-generated data: A guide (Global Partnership for Sustainable Development Data, 2018)
Big Data for Social Good Toolkit (GSMA, 2018)
Information and Communications for Development 2018 : Data-Driven Development (World Bank report, 2018)
