01 Nov 2017 | 5pm | Sensing Human Behaviour With Online Data | Suzy Moat

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, photo sharing sites and online games can be used to gain new insight into real world human behaviour. I will provide case studies from the economic domain and beyond.

Suzy Moat is an Associate Professor of Behavioural Science at Warwick Business School, where she directs the Data Science Lab with her colleague Tobias Preis. She is also a Fellow of The Alan Turing Institute. Moat's research investigates whether data on our usage of the Internet can help us measure and predict human behaviour. The results of her work have been featured by television, radio and press worldwide, by outlets such as BBC, CNN, The Guardian, The Economist, New Scientist and Wired. Moat has also acted as an advisor to government and public bodies on related topics.

She tweets @suzymoat