Logo UNICEF Innocenti
Office of Research-Innocenti
menu icon

Profiles

email

Cristina Pozneanscaia

Research and Knowledge Management Specialist (Evidence Synthesis)

Cristina is an evidence synthesis consultant, working on a Rapid Evidence Assessment on the Impact of Educational Policies and Programmes on Child Work and Child Labour in Low-and-Middle-Income Countries. She holds a MSc in Interventions in Childhood from Jönköping University, Sweden. Over the past years, Cristina’s research focus has been on play interaction of children with behavioural difficulties, and on the participation of youth with neurodevelopmental disorders–such as ASD and ADHD–in home-, school-, and community settings. Her other areas of specialisation cover early intervention, special education, and mental health. Throughout her education and career development, Cristina’s goal has been to advocate for children’s rights and play-based learning through co-creative and inclusive methods in research. Her vision for the world is one where all children and young people have a voice and are active participants in their communities.

Publications

The Impact of Educational Policies and Programmes on Child Work and Child Labour in Low- and-Middle-Income Countries: A rapid evidence assessment (Study Protocol)
Publication

The Impact of Educational Policies and Programmes on Child Work and Child Labour in Low- and-Middle-Income Countries: A rapid evidence assessment (Study Protocol)

There is increasing evidence on the importance of education access and quality for the abolition of child labour. However, to date, only a few evidence assessments have documented the effectiveness of educational policies and programmes with respect to child labour. This Rapid Evidence Assessment (REA) aims to fill this gap by providing a comprehensive review of the effects of educational policies and programmes on child labour. With the objective to provide policy and programmatic recommendations, the review will focus on quantitative and mixed methods studies that identify causal effects. The REA will be complemented by an evidence gap map.