Seminar Series 30th June 2022

Seminar Series 30th June 2022

Presentation 1: Understanding how children’s cognitive development intersects with sociodemographic factors to impact health & wellbeing and educational outcomes within a large prospective birth cohort study

By: Matthew Walker

Abstract: Born in Bradford (BiB) is a cohort study following 14,000 children from birth, recruited between 2007 and 2011. More than 10 years later these children are now transitioning into secondary school, during this difficult time there is also a global pandemic, fundamentally changing life in the UK. Our work aims to understand the interaction between sociodemographic factors, including the impact of remote learning during the pandemic, and cognitive and sensorimotor developments.  BiB offers a unique opportunity to examine the effects of different social, economic, and ethnic backgrounds as children progress through primary school into secondary school.


Presentation 2: Lot determinants and Car Club usage

By: Kristina Bratkova

Abstract: Car Club is a membership based service that enables no-hassle car rentals on a pay-as-you-go basis. In addition to being a money-saver for many car users, shared cars reduce the number of vehicles in the area which has many environmental benefits. Enterprise Car Club has the largest Car Club network in the UK and provides data including lot location and hire information such as distance travelled and time hired. The data is combined with publically available census data and Index of Multiple Deprivation (IMD) in LSOA (Lower Layer Super Output Area). The important factors are age bands of residents, distance to the nearest train station, population density, car ownership, proportion of dwellings per capita and IMD. The importance of lot determinants is evaluated through linear regression models and spatial autocorrelation. Understanding the factors of lot location will help in eliminating selection bias at later stages of predicting Car Club usage. To illustrate, Car Clubs may only be used by people who have access to a shared vehicle hence understanding the bias of placing a lot will enable Enterprise to understand usage and provide a case to local councils about potential lot placements.

Presentation 3: Optimisation of supermarket supply chain stock flow.

By: Jacob van Alwon


This research project is in collaboration with WM Morrisons Supermarkets PLC, the UK’s 4th largest supermarket chain. The goal of this research is to investigate optimisation methods for supply chain stock flow. Stock brought to depots is based on a forecast engine that predicts customer demand, but this process involves significant uncertainties. Changes in demand, particularly at local levels, have knock on consequences and associated costs at the depot, primarily due to the writing off of perishable goods. The project will investigate how the various aspects of the supply chain should be considered during the optimisation process and how solutions are affected by increasing the complexity of the optimisation procedure.

The project will also aim to investigate the choices of individuals when purchasing products. This will consider the complex interactions between different types of product (combinations of products likely to be purchased together), substitutability (if a particular product is unavailable will customers purchase a similar product instead?) and external effects (macro-economic, the weather). This will be achieved by developing an agent-based model that incorporates the choices that individuals make when shopping in supermarkets.