Sensing Human Behaviour with On-line data
Speaker: Dr Suzy Moat (University of Warwick)
Date: 17th October 2017
On 17th October 2017, the Data Science Institute was delighted to welcome Dr Suzy Moat to present 'Sensing human behaviour with on-line data.' Dr Moat presented her recent research to an audience of more than 70 delegates from industry and academia.
Abstract: Our everyday usage of the Internet generates huge amounts of data on how humans collect and exchange information worldwide. In this talk, Suzy will outline recent work in which she investigates 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. She will provide case studies from the economic domain and beyond.
Speaker Bio: Suzy Moat is an Associate Professor of Behavioural Science at Warwick Business School, where she co-directs the Data Science Lab. She is also a Faculty Fellow of the Alan Turing Institute. Suzy'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.