Suzy Moat
Fri 04 Mar 2016, 11:00 - 12:30
Informatics Forum (IF-4.31/4.33)

If you have a question about this talk, please contact: Diana Dalla Costa (ddallac)


Our everyday usage of the Internet generates huge amounts of data on how humans collect and exchange information worldwide. In this talk, I will outline recent work in which we investigate whether data from sources such as Google, Wikipedia and Flickr can be used to gain new insight into real world human behaviour. I will provide case studies from a range of domains, including disease detection, crowd size estimation, and evaluating whether the beauty of the environment we live in might affect our health.


Suzy Moat is an Associate Professor of Behavioural Science at Warwick Business School, where she co-directs the Data Science Lab. Her research investigates whether data from the Internet can help us measure and even predict human behaviour in the real world. The results of her research have been featured by television, radio and press worldwide, by outlets such as BBC, CNN, The Guardian, New Scientist and Wired. With her collaborator and Data Science Lab co-director Tobias Preis, she recently led an online course on using big data to measure and predict human behaviour which attracted over 15,000 learners. Suzy has also acted as an advisor to government and public bodies on the predictive capabilities of big data.