Suzy Moat is Professor of Behavioural Science at Warwick Business School, where she co-directs the Data Science Lab. She is also a Fellow of The Alan Turing Institute. Her research investigates whether data on our usage of the Internet, from sources such as Google, Wikipedia and Flickr, can help us measure and even predict human behaviour in the real world.
Moat’s work touches on problems as diverse as linking online behaviour to stock market moves (with Preis, Curme, Stanley, et al.), estimating crowd sizes (with Botta and Preis) and evaluating whether the beauty of the environment we live in might affect our health (with Seresinhe and Preis). The results of her research have been featured by television, radio and press worldwide, by outlets such as CNN, BBC, The Guardian, Wall Street Journal, New Scientist and Wired.
Moat studied Computer Science at UCL and Psychology at the University of Edinburgh and won a series of prizes during her studies. Since 2011, Moat has secured over £4 million research grant income from UK, EU and US funders. With her collaborator and Data Science Lab co-director Tobias Preis, she led an online course on using big data to measure and predict human behaviour which attracted over 30,000 learners. Suzy also acts as an advisor to government and public bodies on the use of data science in policy.