Below is the poster schedule, assigning each poster a number; on the morning of May 9th (day 2), presenters may set up their poster on the assigned display board.
Number | Author | Title |
1 | Alice Gilmour | What do secondary school pupils eat at school? The barriers experienced in collecting transactional data from canteen purchases. |
2 | Poppy Taylor | The role of inequalities in managing symptoms of menstruation: harnessing shopping data to innovate female reproductive health research. |
3 | Romana Burgess | Understanding moderators of consent regarding the sharing of supermarket shopping data in ALSPAC. |
4 | Neo Poon | Studying Health and Illness Experience using Linked Data (SHIELD): Empowering customers to donate shopping data for chronic pain research. |
5 | Heet Sankesara | RADAR-Pipeline: Scalable Feature Generation for Mobile Health Data. |
6 | Yuezhou Zhang | Exploring Digital Biomarkers for Depression Using Mobile Technology. |
7 | Keneuoe Maliehe | Earth Observations, Digital Footprints and Machine-Learning: Greenhouse Gas Stocktaking for Climate Change Mitigation. |
8 | Gregor Milligan | Foodinsecurity.london: Developing a food-insecurity prevalence map for London – a machine learning from food-sharing footprints. |
9 | Victoria Jenneson | Has HFSS legislation led to healthier food and beverage sales? The DIO-Food protocol – using supermarket sales data for policy evaluation. |
10 | Bogna Liziniewicz | Digital footprints as means of measuring loneliness experience and embeddedness in social networks for designing digital mental health interventions. |
11 | Raphael Derecki | Leveraging multiple digital footprint datasets to predict racial, sex-based, and sexual-orientation bias across US states. |
12 | Eszter Vigh | Alcohol Interventions on Online Grocery Shopping Platforms. |
13 | Fiona Rasanga | Understanding Vulnerability to the Poverty Premium: An Analysis of Factors Influencing Use of High-Cost Credit Among Low-Income Individuals. |
14 | Nathan Bourne | Challenges in access, representativeness, and bias in smart financial data relating to income volatility and economic insecurity. |
15 | Daniel Joinson | The dynamics of emotion expression on Twitter and mental health in a UK longitudinal study. |
16 | Tarek Al Baghal | Using social media metrics and linked survey data to understand survey behaviors. |
17 | Luca Panzone | Understanding the impact of alcohol excises on the market for alcoholic drinks in UK supermarkets using scanner data |
18 | John Harvey | How many calories do you get for your money and what does it mean for your health? Studying Calorie-Oriented Purchasing (COP) through digital footprint data |
19 | Khaled El-Shamandi Ahmed | Cybertherapy: Augmented Reality Consumption to improve Imagination and Well-Being |