James Goulding
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View article: Dimensions underlying public perceptions and misperceptions of food's environmental impact
Dimensions underlying public perceptions and misperceptions of food's environmental impact Open
View article: Predicting befriending scheme success using machine learning and neodemographic information
Predicting befriending scheme success using machine learning and neodemographic information Open
Introduction & BackgroundThe study of loneliness and social networks has largely involved social media analysis for both social circle insights and loneliness predictions from language. While geospatial data have also been used to investig…
View article: Simulating Policy Discussions with Digital Footprints and Large Language Models
Simulating Policy Discussions with Digital Footprints and Large Language Models Open
Introduction & BackgroundParliaments play a significant role in democratic decision-making, drawing on evidence from a wide range of stakeholders. This evidence data, published on official government websites, is a valuable archive of digi…
View article: Digital footprints as a tool to evaluate the spatiotemporal environmental impacts of grocery shopping across Great Britain
Digital footprints as a tool to evaluate the spatiotemporal environmental impacts of grocery shopping across Great Britain Open
Introduction & BackgroundClimate change represents one of the most pressing challenges of our time. Within this context, the food sector is a critical domain for intervention, accounting for approximately one-third of global greenhouse gas…
View article: Integrating Supermarket Behavioural Data with Established Indicators to Improve Alcohol-Related Mortality Prediction in England
Integrating Supermarket Behavioural Data with Established Indicators to Improve Alcohol-Related Mortality Prediction in England Open
Introduction & BackgroundWithin behavioural sciences, there has been a resurgence in not only explaining factors but also predicting them with precision that exceeds classic social science standards. In England (UK), alcohol is a ubiquitou…
View article: Sensory Appeal and Purchase Behaviour: Combining massive transactional data with consumer reviews to examine the psychology of perfume consumption
Sensory Appeal and Purchase Behaviour: Combining massive transactional data with consumer reviews to examine the psychology of perfume consumption Open
Introduction & BackgroundThe perfume industry faces significant ethical scrutiny ranging from environmental degradation and labour concerns to the carbon costs of global logistics. Despite these concerns, consumer purchase decisions are mo…
View article: Using loyalty card transaction data to track seasonal laxative purchasing in the UK
Using loyalty card transaction data to track seasonal laxative purchasing in the UK Open
Introduction & BackgroundStimulant laxatives, commonly used for managing constipation, are known to be misused for weight management. Our study uses loyalty card transaction data from a major UK pharmacy retailer, examining seasonal laxati…
View article: Consumer purchase behaviours and over-the-counter lactic acid treatments for bacterial vaginosis
Consumer purchase behaviours and over-the-counter lactic acid treatments for bacterial vaginosis Open
Introduction & BackgroundBacterial Vaginosis (BV) is the most common vaginal infection in women of reproductive age, with implications for gynaecological health, pregnancy outcomes, and antimicrobial resistance. Despite its prevalence, lim…
View article: Multi-level evidence for the impact of pain on workplace attendance: linking shopping records to labour statistics and survey data
Multi-level evidence for the impact of pain on workplace attendance: linking shopping records to labour statistics and survey data Open
Introduction & BackgroundPain is a global threat to well-being and workplace productivity, yet current estimates of its prevalence vary greatly between studies. This is partly due to a lack of consistency in survey items and reliance on se…
View article: Evaluating Loneliness Proxy Elicitation via Digital Mental Health Platform Data Using Transformer-Based Natural Language Processing
Evaluating Loneliness Proxy Elicitation via Digital Mental Health Platform Data Using Transformer-Based Natural Language Processing Open
Introduction & BackgroundIt has been estimated that over 9 million people in the UK feel lonely either often or all the time. Loneliness is difficult to measure due to its latent nature and associated stigma. This work demonstrates the app…
View article: How decoy options ferment choice biases in real-world consumer decision-making
How decoy options ferment choice biases in real-world consumer decision-making Open
View article: Multi-level evidence for the impact of pain on workplace attendance
Multi-level evidence for the impact of pain on workplace attendance Open
Chronic pain is a global obstacle to well-being and workplace productivity, yet its full extent and impacts are extremely difficult to measure and monitor. Utilising two novel sets of digital footprints data, we develop a new approach to m…
View article: Using supermarket loyalty card data to investigate seasonal variation in laxative purchases in the UK
Using supermarket loyalty card data to investigate seasonal variation in laxative purchases in the UK Open
While laxatives are designed to manage the symptoms of constipation, they are also frequently misused for weight control, particularly by individuals with eating disorders. This study aims to investigate the relationship between laxative p…
View article: Using supermarket loyalty card data to investigate seasonal variation in laxative purchases in the UK
Using supermarket loyalty card data to investigate seasonal variation in laxative purchases in the UK Open
While laxatives are designed to manage the symptoms of constipation, they are also frequently misused for weight control, particularly by individuals with eating disorders. This study aims to investigate the relationship between laxative p…
View article: Predicting personality and sociopolitical outcomes from shopping data
Predicting personality and sociopolitical outcomes from shopping data Open
Personality traits are predictive of real world outcomes, however they are often measured through self-reports. Can we extract personality traits from mass observational data reflecting real world choices? Using shopping data from 20,550,9…
View article: Urban mapping in Dar es Salaam using Angle-Based Joint and Individual Variation Explained
Urban mapping in Dar es Salaam using Angle-Based Joint and Individual Variation Explained Open
Mapping deprivation in urban areas is important, for example, for identifying areas of greatest need and planning interventions. Traditional ways of obtaining deprivation estimates are based on either census or household survey data, which…
View article: WITHDRAWN
WITHDRAWN Open
View article: Large Language Models as 'Hidden Persuaders': Fake Product Reviews are Indistinguishable to Humans and Machines
Large Language Models as 'Hidden Persuaders': Fake Product Reviews are Indistinguishable to Humans and Machines Open
Reading and evaluating product reviews is central to how most people decide what to buy and consume online. However, the recent emergence of Large Language Models and Generative Artificial Intelligence now means writing fraudulent or fake …
View article: New year as a moment of change in pro-environmental product consumption: evaluating the habit discontinuity and self-activation hypotheses using a large UK retail dataset
New year as a moment of change in pro-environmental product consumption: evaluating the habit discontinuity and self-activation hypotheses using a large UK retail dataset Open
Introduction The New Year, and the New Year’s Resolution tradition, may establish January as a moment of personal change: when there could be a temporal landmark for making a “fresh start,” a habit discontinuity, and value activation. As s…
View article: What can Transactional Data reveal about relative prevalence of Menstrual Pain and Period Poverty?
What can Transactional Data reveal about relative prevalence of Menstrual Pain and Period Poverty? Open
Background: 91% of those who menstruate reported to experiencing associated pain. Despite the ubiquity of this phenomenon, the prevalence, extent and socio-demographic variation of menstrual pain remains understudied at national levels - w…
View article: Food insecurity amongst universal credit claimants: the benefits and nutrition study (BEANS), a cross-sectional online study
Food insecurity amongst universal credit claimants: the benefits and nutrition study (BEANS), a cross-sectional online study Open
View article: A mixed methods protocol for an impact and implementation evaluation of the Pharmacy First Services for management of common conditions in England
A mixed methods protocol for an impact and implementation evaluation of the Pharmacy First Services for management of common conditions in England Open
Objectives In response to high levels of demand for primary medical services in England, characterized by longer appointment waiting times and delayed referrals, the Government developed its National Health Service (NHS) Primary Care Recov…
View article: Machine learning on national shopping data reliably estimates childhood obesity prevalence and socio-economic deprivation
Machine learning on national shopping data reliably estimates childhood obesity prevalence and socio-economic deprivation Open
View article: Nutritional implications of alternative proteins: a commentary
Nutritional implications of alternative proteins: a commentary Open
View article: The feasibility of using individual-level loyalty card data for disease surveillance: A pilot study on COVID-19
The feasibility of using individual-level loyalty card data for disease surveillance: A pilot study on COVID-19 Open
Background: While regional-level self-medication sales data has been shown to enhance disease surveillance, individual-level sales data remains unexplored. This pilot study evaluates the feasibility of linking individual loyalty card data …
View article: Behavioural entropy as an individual difference construct: Can shopping patterns predict sociopolitical outcomes?
Behavioural entropy as an individual difference construct: Can shopping patterns predict sociopolitical outcomes? Open
Utilising behavioural entropy as a tool to delineate individual disparities, we confront the complexities in analysing personality traits using digital traces and propose fresh insights into the determinants of sociopolitical behaviours. T…
View article: Foodinsecurity.london: Developing a food-insecurity prevalence map for London - a machine learning from food-sharing footprints
Foodinsecurity.london: Developing a food-insecurity prevalence map for London - a machine learning from food-sharing footprints Open
Introduction & BackgroundThe ability of policymakers to positively transform food environments requires robust empirical evidence that can inform decisions. At present, there is limited data on food-insecurity in the UK that can be used to…
View article: Leveraging multiple digital footprint datasets to predict racial, sex-based, and sexual-orientation bias across US states
Leveraging multiple digital footprint datasets to predict racial, sex-based, and sexual-orientation bias across US states Open
Introduction & BackgroundRacial, gender, and sexual-orientation biases are pervasive throughout society. Importantly, modern digitally oriented datasets can elucidate important societal variables and potential solutions. One contemporary t…
View article: Predicting Healthy Start Scheme Uptake using Deprivation and Food Insecurity Measures.
Predicting Healthy Start Scheme Uptake using Deprivation and Food Insecurity Measures. Open
Introduction & BackgroundThe level of food insecurity in England is widening, with low-income families requiring more support to reduce income inequalities. The government have introduced policies to address these issues with targeted subs…
View article: Earth Observations, Digital Footprints and Machine-Learning: Greenhouse Gas Stocktaking for Climate Change Mitigation
Earth Observations, Digital Footprints and Machine-Learning: Greenhouse Gas Stocktaking for Climate Change Mitigation Open
Introduction & BackgroundMethane (CH4) is a powerful greenhouse gas, leaving both a physical and digital footprint from natural (40%) and human (60%) sources. Its atmospheric concentration has increased from 722 ppb before the industrial a…