The Urban Big Data Centre’s Educational Disadvantage & Place (ED&P) group - whose membership includes core CR&DALL members Dr Muir Houston, Professor Catherine Lido, Dr Phil Mason and Professor Mike Osborne - at the University of Glasgow has employed a spectrum of complementary quantitative and qualitative methods, often blurring the lines between, to address educational inequalities, with a view to informing the development of more effective policy solutions to the educational attainment gaps at all stages of life-long/life-wide education in Scotland and elsewhere.

In an online session on 28 September 2021 from 1230-1400 BST, we will use examples from the work of the UBDC’s Education work package to illustrate the impact of a range of the mixed-methods approaches, namely using:

Such approaches will be demonstrated by using three projects which have already generated impact in academic, media and government policy domains:

• Integrated Multimedia City Data (iMCD) as applied to adult learning and greenspace in Learning Cities
• Open data to demonstrate educational inequalities during the Scottish Qualifications Authority (SQA) exam moderation as linked to measures of deprivation
• Exploration of food insecurity of older adults in Scotland and effectiveness of food support services to tackled these inequalities

We hope these wide-ranging and diverse examples show a common thread of drawing together diverse data strands to argue for holistic and integrated solutions to Learning City issues and urban inequalities.

For more information about the event and to register please visit on UBDC website: Triangulating Novel Mixed-Method Educational Data Webinar | Urban Big Data Centre (ubdc.ac.uk)