Our Project Portfolio
Our Themes
Our Projects
Our Projects Outputs
Phase 2 Report: As a part of phase 2 of the project, which explored the seasonal effects on wasting scores, this report proposes a robust, data-driven protocol to correct observed wasting prevalence for seasonal variation at a global scale.
An extended dataset of individual travel time maps for the 54 countries across the African continent and its island states, generated with the precision of a 100-meter resolution.
Executive summary: We supported UNICEF in exploring innovative ways to understand online mental health and well-being discourse. Our project looked at using AI to identify online discussions of young people on mental health, combining focus group input, annotated datasets, and experiments with large language models (LLMs) in English and Russian.
This presentation, prepared by Dr Clare Llewellyn, a lecturer in Governance, Technology and Data at the University of Edinburgh, outlines the methods and key findings of our project with UNICEF which investigated developing a methodology for using AI to identify social media discussions on mental health and well-being from young people and adolescents.
Infographic: As part of our project focusing on developing a methodology for using AI to identify social media discussions of mental health and well-being, we ran a few youth engagement sessions together with UNICEF country offices in Kazakhstan and Tajikistan.
This case study outlines how Data for Children Collaborative’s processes allowed for a reimagining of the End of Violence multi-country study to bring in the voices of youth.
This case study explains how the Data for Children Collaborative Facilitated a Collaborative Solution for UNICEF to Support them in Exploring Ways to Better Understand Access to Child Services.
This case study shows how the Data for Children Collaborative helped The Promise Scotland build the right team to map diverse care system data.