Professor of Consumer Behaviour at Nottingham University Business School, Andrew has extensive expertise in consumer behaviour theory, the analysis of consumption patterns and application of novel time series analysis to consumer purchase data. He has published widely in the fields of: consumer behaviour and psychology; customer loyalty schemes; complexity and consumption; and consumer privacy.
Prior to N-LAB James led the Data Science programme at the RCUK funded Horizon Institute. His core research is in the rapidly growing field of Machine learning with Big Data for social good, focusing on information theoretic techniques to analyse large-scale human behavioural data. He has won an ACM Engelbart prize for work in data theory, a Centre for DE prize for data visualization and also runs the NHS Data Science programme.
Gavin specializes in temporal data mining and machine learning, focusing on development of novel data driven approaches to predict human behaviour in time series. He also researches how to ensure that techniques are applicable in real world scenarios, producing interpretable results. Past work includes theoretical analysis of the limits of predictability in human movement, optimizing symbolisation techniques in time series and dynamic topic modelling (customer mission analysis) in transactional data.
John is an Assistant Professor in Marketing at Nottingham University Business School and is the Social Analytics Lead within the Neo-demographic Laboratory for Analytics in Business. He holds a PhD in Economic Anthropology and specialises in the study of informal economies, particularly through ethnographic and computational social network analysis methods. His most recent work examines how data analytics can be applied to the social good of eliminating food waste and food poverty.
Dr Benjamin Lucas
benjamin.lucas@nottingham.ac.uk
Computational Consumer Behaviour Lead
Human Collaborative Systems Lead
Human Collaborative Systems Lead
Dr Benjamin Lucas is an Assistant Professor at Nottingham University Business School, and leads the Computational Consumer Behaviour and Human Collaboration Systems themes at N/LAB.
Bertrand specializes in Geospatial methods, with a specific focus on mapping in emerging economies and markets – considering how data science methods must be adapted for those regions. He is an expert in geospatial analytics, computer vision and applied machine learning. In addition he is an assistant professor at NUBS, his applied work has covered everything from road condition analysis to detection of slavery from space.
Researchers
Lax is a pure mathematician, turned statistician. He is working to develop and apply statistical models (including techniques related to spatial process modelling and Multiple Systems Estimation) and Machine Learning to better understand vulnerability to pernicious international development issues such as modern-day slavery.
Lax.Chan1@nottingham.ac.uk
Gregor’s research examines how mining CDR data can generate Social Good in areas of mobility mapping and urban planning. Combining HCI and machine learning in these are opens up huge policy and market opportunities, particularly in fast changing environments such as East Africa.
psxge@nottingham.ac.uk
Rosa’s research integrates psychological theory and machine learning to better understand and predict behaviour in big data.
rosa.lavelle-hill@nottingham.ac.uk
Vanja worked as a Senior Analyst before starting her multidisciplinary PhD about behavioural change and perceptions. She explores how people’s beliefs impact their behaviour by combining psychology theories and machine learning techniques. Previously Vanja developed the concept of a Change Readiness Index, in the context of the consumers’ transactional behaviour.
vanja.ljevar1@nottingham.ac.uk
Madeleine’s work combines the fields of mathematics and international development, examining how block-structure models can be extended to produce social good.
madeleine.ellis@nottingham.ac.uk
Georgiana’s background is in social marketing and consumer behaviour, and she is develops new methods to combine machine learning with qualitative research to better understand the people behind Big Data (via notions of contextualisation, consilience and ethics).
georgiana.avram@nottingham.ac.uk
Will’s research focus is in combining data mining and marketing research. He is pioneering a new data-driven form of Life Event Analysis, that aims to detect important points within a consumer life course (e.g. moving house) through analysis of digital footprint datasets.
william.darler@nottingham.ac.uk
Dominic is exploring new data science methods to detect those at risk of social isolation. His PhD is in partnership with Ordnance Survey, and is investigating the interrelationship between the factors underpinning isolation and lonliness that might be revealed in digital data streams, from transport and mobility to social media usage.
Dominic.Reedman-Flint@nottingham.ac.uk
Shazmin has a background in Psychology and held a Lead Research Assistant post at The Institute of Mental Health prior to her PhD. Her research interests are in creating a system which amalgamates various steams of digital data (e.g. car usage, financial transactions, utility usage and phone usage) to track mood shifts in those with Bipolar Disorder.
shazmin.majid1@nottingham.ac.uk
Associate Academics
