25 April 2023
Germany – Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH on behalf of the German Federal Ministry for Economic Cooperation and Development (BMZ)
The COVID-19 pandemic has significantly impacted global economies, prompting governments to implement social protection measures. The crisis has also limited traditional data collection methods for social protection programs, leading to a shift towards digital data sources such as digitized administrative databases and behavioural trace data. This webinar presented a report and explored novel data sources, their potential for long-term integration, and associated ethical challenges. The report examines five novel digital data types: satellite imagery, mobile phone data, web and social media data, digital finance, and integrated digitized administrative databases. It discusses the potential applications and challenges of using these sources for social protection and offers case studies from various countries.
- Emily Aiken, Data Science and Social Protection Expert
- Tim Ohlenburg, Data Science, Machine Learning and Social Protection Expert
- Alvaro Farias Velasco, Director of Climate Change and Catastrophe Risk, Prosperia
- Lauro Bermeo, World Bank Social Protection Specialist, former DRC STEP-KIN Project
- Joan Lopez Solano, Researcher and Policy Officer on the Global Data Justice project, Tillburg University.