Our Project Portfolio
Our Themes
Our Projects
Our Projects Outputs
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.
This case study explains how the Data for Children Collaborative supported UNICEF in better understanding the risks so that countries have more evidence to build their capacity and resilience to help children around the globe and into the future.
This case study explains how the Data for Children Collaborative helped build a multidisciplinary team of experts spanning academia, the private, and public sectors to gain data-driven insights.