Mammoth amounts of data are now being generated through society’s extensive interactions with technological systems, automatically documenting collective human behaviour in a previously unimaginable fashion. In this talk, I will outline recent results of our research programme at the Data Science Lab in which we investigate whether data from sources such as Google, Wikipedia, Twitter, Flickr and Instagram can be used to:
(1) reduce delays in measurement of human behaviour
(2) measure behaviour which previously could not be measured
(3) improve predictions of future behaviour
About the Speaker
Professor Tobias Preis is Professor of Behavioural Science and Finance at the University of Warwick and a Faculty Fellow of The Alan Turing Institute. Together with his colleague Suzy Moat, he directs the Data Science Lab at Warwick Business School. His recent research has aimed to analyse and predict real world behaviour with the volumes of data being generated by our interactions with technology, using data from Google, Wikipedia, Flickr and other sources. His research is frequently featured in the news, by outlets including the BBC, the New York Times, the Financial Times, Science, Nature, Time Magazine, New Scientist and the Guardian. He has given a range of public talks including presentations at TEDx events in the UK and in Switzerland. More details can be found on his website http://www.tobiaspreis.com.
This event is jointly organised with Engineering Systems and Design Pillar, SUTD
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