Our nine-month project builds upon pre-existing work carried out by UNICEF in Ukraine in 2021-22 to use machine learning techniques to follow online mental health and well-being discourse among young people and adolescents. Our aim in this project is to take a more participatory approach with adolescents and young people.
Approximately half of all poor mental health conditions manifest by early adolescence, and available evidence suggests that around 10 to 20 percent of children and adolescents experience one of these conditions. However, serious data gaps remain around the magnitude of the problem, and what countries can do about it.
A paper introducing a collaborative, demand-driven methodology for the development of a strategic adolescent mental health research agenda.
This report is an output from our Mental Health project feasibility phase, aiming to establish foundational knowledge, requirements and frameworks, which will lead to developing replicable research methodologies.
The objective of the focus group discussions was to evaluate the ways that adolescents and young people interact with technology.
The outputs of a topic mapping exercise to understand priority areas for adolescent mental health, with a focus on measuring and monitoring.
