Welcome to our Knowledge Zone!
Here, you can find everything from our project outputs to impact statements and beyond.
All items are ordered by Our Key Outcomes: Actionable Insights, Responsible Innovation and Knowledge Exchange.
Actionable Insights
Here you can find a collection of the different outputs across our projects that are helping others to make a difference to children’s lives.
Final Report: A robust, evidence-based set of recommendations for Scotland's children’s sports strategy to improve access and support every child's right to sport.
UNICEF has generated a new report, supported by our climate change project team, to highlight the unique risks that heatwaves pose for children.
A poster designed for conference presentation by our Population Estimation project team. This highlights key aspects of their work towards sustainable census independent population estimation in Mozambique.
This report is an output from our Poverty team, and it describes the work conducted for the Child Poverty and Access to Services (CPAS) project. The project's ultimate aim was to determine if geographic access to health centres correlated with multidimensional child poverty.
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.
UNICEF have generated a new report, supported by our climate change project team, to highlight the real risk that climate change poses on children and young people, now and in the future.
This report has been compiled as part of the Children’s Climate Risk Index (CCRI) Project for UNICEF based on the work undertaken for the systematic literature review.
A summary and a recording from the event we ran in November 2022: Children's Climate Risk: Their Future, Their Opinion.
A blog detailing our involvement with the creation of the Scottish Government’s Data and Intelligence Network Ethical Workbook.
An Impact Statement for our project examining how isolation, school closure and exam cancellation caused by Covid-19 affected the mental health of young people.
An Impact Statement for our Impact Collaboration process.
An Impact Statement for our project addressing the socioeconomic impacts of COVID-19 on children.
An Impact Statement for our Building Footprint Identification project.
A case study feature for the Collaborative by the University of Edinburgh’s Data Driven Innovation programme.
An interview with Ethical Intelligence to discuss both the journey of creating the Ethical Assessment as well as now implementing it over the past year of its existence.
Responsible Innovation
These outputs all relate to our Responsible Innovation framework, which helps us use data to improve outcomes for children in a safe, trusted and transparent way.
Knowledge Exchange
We want to share our learnings with you - and that’s why we encourage you to scroll through this collection of useful resources spanning a variety of topics.
An infographic summarizing key findings and recommendations from the final report on the effects of COVID-19 on children's sports in Scotland
In this presentation, Dr Watmough, the project’s principal investigator, details how the team generated novel, more sustainable maps with a five-fold increased resolution for the entire continent of Africa and its island states, including 54 Countries
Literature Review that examines the previously limited studies on the sport and physical activity participation of children in Scotland identifies gaps in the literature and examines the data landscape.
This Gallery of Drawings shows engagement from children and young people in Scotland which played a critical role in understanding what sports and physical activity mean to them and gaining insight into their individual experiences.
Final Report: This project explored the seasonal effects of wasting scores with the goal of establishing if it is possible to answer the following question: “what would the wasting score have been had it been measured in a different month of that year?”
Git Hub code from Phase 1 of the Building Heights project. The aim of this project was to use a convolutional-deconvolutional neural network to predict building height data from satellite images.
Git Hub code from Phase 2 of the Building Heights project. The aim of this project was to use a convolutional-deconvolutional neural network to predict building height data from satellite images.
A guide on how to conduct a systematic review on a global scale. Each section will show the steps taken, recommendations, and reflections on each part of the process. The four steps this guide will discuss are recruitment, designing the study, training & engagement of the reviewers, and creating outputs.