Advanced analytics and AI

The Department of Marketing, Tourism and Analytics leads in the design of innovative techniques for understanding business, marketing, consumer, behavioural, and network relations. Colleagues working in this theme foster collaboration by leveraging interdisciplinary strengths in computer science, data science, and neuroscience.

To us, advanced analytics and AI means:

pioneering methodologies to tackle complex real-world problems
generating mixed-method insights from multidisciplinary perspectives
building diverse stakeholder communities to maximise knowledge exchange

Research stories

A graphical image depicting five different coloured milk bottles that each have different foods and milk exploding out of the top of them, such a nuts, oats and coconut.

Detecting iodine deficiencies using shopping data

A graphical image of a man walking down a food isle in a supermarket holding a paper bag, stood next to a robot who is pushing a supermarket trolly.

Analysing cognitive mechanisms of consumer choice

A row of neatly lined up supermarket trollies.

Optimising measures of mass transactional data

A graphical image depicting the globe with fruits hanging from it and trees on the top. It also shows factory chimneys with smoke coming out of them.

Mapping environmental impacts of food purchases across the UK

Concept graphic depicting connectedness by showing people shaped icons and lines between them indicating links.

Understanding connectedness within Browne Jacobson

N/LAB

Using data driven approaches and predictive modelling techniques to understand consumer behaviour and business decision making, it is a state-of-the art centre of excellence.

N/LAB

James Goulding, Assistant Professor in Business Analytics, talks about N/LAB.