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Using data to improve outcomes for children
 

Using Data Responsibly to Improve Outcomes for Every Child

The Data for Children Collaborative is a specialist unit within the Edinburgh Futures Institute at the University of Edinburgh.

Our mission is to provide the best conditions for bringing together the right data and the right expertise to improve outcomes for every child.

We build innovative ways of enabling impactful collaborations between academia, the third, the public and the private sectors and delivering projects responsibly.

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What we do

  • We bring together diverse expertise and the appropriate data from our community to address complex problems facing children. 

  • We work with a range of partners to identify demand-driven challenges that require a data-driven solution. 

  • All of our projects are child-focused and work towards one or more of the Sustainable Development Goals and/or the National Performance Framework.  

 
 

Our Service Catalogue

We work with partners on an end-to-end challenge or support specific activities.

Having crafted a set of approaches, frameworks and methodologies to work on complex challenges, we aim to share these far and wide. We have designed a service offering to work on an end-to-end challenge with a partner, or to apply component parts of our service to specific situations.  

Get in touch if you would like to hear more!

 
 
 
 

Our Themes

 

Our Projects

Projects Database
Developing a methodology for using machine learning techniques to follow online mental health and well-being discourse among young people and adolescents to inform programming
Developing a methodology for using machine learning techniques to follow online mental health and well-being discourse among young people and adolescents to inform programming
Building Heights Phase 2 - Calculating Line-Of-Sight Between a School Location and Radio Antennae Using Deep Learning Models on Satellite Data
Building Heights Phase 2 - Calculating Line-Of-Sight Between a School Location and Radio Antennae Using Deep Learning Models on Satellite Data
Building Heights Phase 1 - Calculating Line-Of-Sight Feasibility Between a School Location and Radio Antennae Using Deep Learning Models on Satellite Data.
Building Heights Phase 1 - Calculating Line-Of-Sight Feasibility Between a School Location and Radio Antennae Using Deep Learning Models on Satellite Data.
Mapping gender related barriers for immunisation using Geographic Information Systems (GIS)
Mapping gender related barriers for immunisation using Geographic Information Systems (GIS)
How can we produce a time series of country level childhood wasting estimates, accounting for seasonality: exploring the impact of survey timing?
How can we produce a time series of country level childhood wasting estimates, accounting for seasonality: exploring the impact of survey timing?
Understanding sports activity in Scotland through data: Mapping what the system looks like for young people, and how Covid-19 impacts access to sport.
Understanding sports activity in Scotland through data: Mapping what the system looks like for young people, and how Covid-19 impacts access to sport.
Heatwaves & Children
Heatwaves & Children
What data does Scotland collect and analyse that directly and indirectly impacts the lives of children and their families, and how can we best map it?
What data does Scotland collect and analyse that directly and indirectly impacts the lives of children and their families, and how can we best map it?
Conversational AI to rebut COVID-19 rumours, myths, and misinformation
Conversational AI to rebut COVID-19 rumours, myths, and misinformation
The Child Climate Risk Index (CCRI)
The Child Climate Risk Index (CCRI)
Prevention of adolescent mental health conditions: is technology a possible source for good?
Prevention of adolescent mental health conditions: is technology a possible source for good?
Accelerating What Works to End Violence Against Children: A Multi-Country Study
Accelerating What Works to End Violence Against Children: A Multi-Country Study
Understanding Poverty and Attainment Across the Northern Alliance Region of Scotland
Understanding Poverty and Attainment Across the Northern Alliance Region of Scotland
Population Estimation
Population Estimation
In Isolation Instead of in School (INISS): young people’s experiences of COVID-19 and effects on mental health and education
In Isolation Instead of in School (INISS): young people’s experiences of COVID-19 and effects on mental health and education
Addressing socioeconomic impacts of COVID-19 on children in Scotland: A review of capability and available data assets
Addressing socioeconomic impacts of COVID-19 on children in Scotland: A review of capability and available data assets
Building Footprint Identification
Building Footprint Identification
Child Poverty Access to Services
Child Poverty Access to Services
Targeting HIV Interventions for Adolescents
Targeting HIV Interventions for Adolescents
Nutrition with a Focus on Child Obesity
Nutrition with a Focus on Child Obesity
 
 

Our 2023 Annual Report

Our annual report is a chance to reflect on our progress, what we’ve learned and, most importantly, how we use data to improve children’s outcomes. We are excited to share some of the highlights, showing how our work continues to create real-world impact.