Leeds Beckett University - City Campus,
Woodhouse Lane,
LS1 3HE
Poor diet is a leading cause of death in the United Kingdom and around the world.
Professor Michelle Morris will be discussing the methods to collect quality dietary information at scale for population research are time consuming, expensive and biased. Novel data sources, such as supermarket sales transactions and loyalty card data, offer the potential to overcome these challenges and better understand population dietary patterns. In this talk, Michelle will share examples of how these data can be used to better understand population level dietary patterns, how these compare with national recommendations, how they vary by sociodemographic characteristics and what we can do to change them.
This online event will be accessible via Microsoft Teams here but you do not need an account to join.
If you are accessing the event from a smartphone you will first need to download and install the Microsoft Teams mobile app, we will share details in your confirmation email.
Michelle Morris is Professor of Data Science for Food in the School of Food Science and Nutrition at the University of Leeds and a Fellow of the Alan Turing Institute, the UK national institute for data science and artificial intelligence in London. She leads the interdisciplinary Nutrition and Lifestyle Analytics team which uses novel forms of data, including supermarket transaction records from a number of UK supermarkets, for research into lifestyle behaviours and health. She is an investigator at the Economic and Social Research Council Funded Consumer Data Research Centre, the UKRI TUKFS funded FIO-Food and DIO-Food projects and PI for the IGD funded Healthy and Sustainable diets programme.
