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CDR welcomes Dr Alessia Dorigoni. Dr Dorigoni is a Lecturer in Behavioural Decision Making at Leeds University Business School (LUBS), University of Leeds, within the Analytics, Technology and Operations Department (ATOD). Prior to joining the University of Leeds, Dr Dorigoni spent approximately ten years conducting experimental research at the Consumer Neuroscience Laboratory at the University...
UNRISK (Understanding Uncertainty to Reduce Climate Risks) a NERC Centre for Doctoral Training Centre involving University of Leeds, University College London and University of Exeter, trains students with the multidisciplinary knowledge and skills across climate science, data science and decision science to tackle the pressing challenge of reducing the risks associated with rapid climate change....
The research investigates the factors influencing the adoption of Demand Responsive Transport (DRT) services in the UK. It finds that travellers' perceptions of the existing public transport (PT) system significantly influence DRT adoption, beyond the effects of conventional service attributes. Consequently, simply providing attractive DRT service characteristics may not achieve the desired uptake if prevailing...
A PhD researcher from the Centre for Decision Research in the Analytics, Technology and Operations Department has been awarded the Tom Lupton Prize on the same day he graduated. The prize recognises his paper "Tabular Image: a method to convert tabular data to images for convolutional neural networks", co-authored with his supervisors Dr Xingjie Wei...
Academics from the Centre for Decision Research in the Analytics, Technology and Operations Department at Leeds University Business School shared emerging impact from the University of Leeds and SR Mailing Knowledge Transfer Partnership at AI Research at Leeds 2026: From Ideas to Real-World Impact, hosted by the Leeds Institute for Data Analytics at Nexus on 8 July...
Dr Peizhi Shi and colleagues have been working on a connected stream of research on how applied AI and machine learning can support intelligent manufacturing, energy forecasting, and operational decision-making. Across manufacturing and energy contexts, organisations increasingly need to interpret complex technical data, translate it into meaningful operational knowledge, forecast changing demand, and make decisions...
In the UK, gambling harm prevention has often relied on gambling industry self-regulation. In one major instance of this, the industry was required to use safer gambling messaging, but they were allowed to determine their own messages many will recall "Gamble responsibly" and "When the fun stops, stop". As a result, the messages implied the...
This project is led by Joshua Weller funded by the UKRI-Gambling Harms Research and Innovation Partnership grant, and runs for twelve months (April 2026 – April 2027). It will establish a Lived Experience Panel of older adults with personal experience of gambling harm, who will act as co-researchers shaping the project's direction through a series...
Edika Quispe-Torreblanca Jan-Emmanuel De Neve and Gordon D. A. Brown have a new paper on the - Social status and the relationship between income rank and well-being in 109 nations. Their paper in Nature Communications asks a fundamental question: why does income affect well-being? Is it because of material deprivation (lacking resources), relative deprivation (others...
Earlier this week Dr Lisa-Maria Tanase presented results of her studies of politicians’ (mis)perceptions of public support for climate policies to the Centre for Decision Research and members of the Analytics, Technology and Operations Department, Leeds University Business School. Estimates made by 600 politicians in Belgium and 100 UK MPs were compared to polling data...