Northern Alliance
  • ๐Ÿ“–Democratising Action for Attainment
    • Table of Contents
  • Introduction
    • ๐ŸงŠIntroduction
      • Background
      • Collaboration
    • ๐Ÿ”“Approach
  • Research
    • ๐Ÿ‘ฅStakeholder Engagement
      • Survey
      • Workshop
      • Interviews
    • โš™๏ธExisting Tools Review
      • User Feedback
      • Design Audit
    • ๐ŸงฑPlatform Requirements
      • Features
      • Data Model
  • Solution
    • ๐Ÿ‘คPersonas and Journeys
    • ๐Ÿ’กBlueprint
    • ๐Ÿ“‘Wireframes
    • ๐Ÿ”ฉPlatform Architecture
  • Way Forward
    • ๐Ÿ—๏ธBuilding Blocks
  • Resources
    • GitHub
    • ยฉ๏ธLicense
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  1. Introduction
  2. Introduction

Collaboration

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The aim of this collaboration was to determine what data sources and analytical techniques best reflect the challenges of child poverty, and subsequently provide a means to assess the poverty related attainment gap as a result โ€“ which will further allow individual school settings, local authorities and other bodies to plan targeted interventions to reduce it.

Developed through the , this project has brought together academic expertise from the Fraser of Allander Institute at the and , and data science expertise at and . During this initial phase, the team will work in partnership with and the Local Authorities they represent.

The objective within this initial phase is to work with stakeholders to identify the shared knowledge gap across local authorities, identify the most appropriate indicators and map the suitable data sources that can be used at the school catchment aggregation.

Partners

CivicDataLab

is a research lab working on the intersection use data, tech, design and social science to strengthen the course of civic engagements in India. They work to harness the potential of open knowledge movements and better enable citizens to engage in matters of public reform. The aim to grow data and tech literacy of governments, non-profits, think-tanks, media houses, universities, and more to enable data-driven decision making at scale.

The Data for Children Collaborative with UNICEF

is a unique partnership between UNICEF, The Scottish Government and the University of Edinburgh, hosted by The Edinburgh Futures Institute. In todayโ€™s fast-paced technological landscape, where data is a driving force and evidence is vital to decision making, the Collaborative want to use data to produce real-world impacts that help the worldโ€™s children. Their goal is to leverage the appropriate data and expertise from our community in order to address existing problems for children using innovative data science techniques.

The Fraser of Allander Institute (FAI)

(FAI) at the University of Strathclyde is a leading independent economic research institute focused on the Scottish economy since 1975.

East Neuk Analytics

supports headteachers to improve their data literacy through training and bespoke tools for their schools. By supporting teachers to improve their confidence in their data led decision-making, it gives them more time to spend with the children and young people in their school.

Glasgow Caledonian University

(GCU) is a vibrant, innovative and multi-award winning University for the Common Good. Their aim is to contribute to society in a manner that embraces yet goes beyond the traditional role of a university. GCUโ€™s For the Common Good commitment is brought to life through their strategy and by the actions of staff, students and alumni around the world.

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Data for Children Collaborative with UNICEF
Impact Collaborations process
University of Strathclyde
Glasgow Caledonian University
CivicDataLab
East Neuk Analytics
Northern Alliance
CivicDataLab
The Data for Children Collaborative with UNICEF
The Fraser of Allander Institute
Glasgow Caledonian University
East Neuk Analytics