| Yao Wang |
Mapping Quality of Life in London’s Local News |
| Poppy Taylor |
Investigating purchasing patterns in products related to the management of menstrual symptoms |
| Romana Burgess |
Validating the Use of Shopping Data as a Proxy for Food Intake in a UK Longitudinal Population Study |
| Roberto Mansilla |
Operationalising the Lived Experience of Energy Vulnerability: Identifying Behavioural Trade-offs through Smart Meter Data |
| Neo Poon |
Linking food consumption to deprivation: A study leveraging shopping data |
| Yao Wang |
Mapping Quality of Life in London’s Local News |
| Torran Semple |
Linking Smart Meter Data and Financial Records to Develop an Area-Level Fuel Poverty Indicator |
| Marion Carneiro |
Evaluating the impact of cultural events using machine learning and digital footfall: a case study of Bradford City of Culture 2025 |
| Sally Moore |
Visualising Eye Tracking and associated purchase data from participant’s real life shopping journeys in a UK Online Supermarket: Development of the “What the Eyes Reveal” Dashboard |
| Ayisha Dubi |
Developing a Geo-intelligent Housing Submarket Classification Framework for England and Wales |
| Emeka Enechukwu |
The Hour of Need |
| Niina Väljä |
Measuring diet quality based on Healthy Purchase Index (HPI) generated from food purchase data |
| Inna Nikitina |
Exploring Third-Place Experience Using Digital Footprints from Google Maps Coffee-Shop Reviews |
| Yuanxuan Yang |
Digital Footprints of Older People: Identifying Recurring Patterns of Everyday Mobility |
| Chukwudumebi Okeke |
From Sensory Richness to Sensory Deprivation: How COVID-19 Reshaped Perfume Purchase Behaviour |
| Georgiana Nica-Avram |
Consumer wellbeing and the unintended consequences of digital technologies |
| Molly Sargent |
Mapping differences between the Index of Multiple Deprivation and the Priority Places for Food Index to better understand areas of need |
