Join us to explore how the vast amounts of data generated today can help us understand and even predict how humans behave.
Tobias Preis is an Associate Professor of Behavioural Science and Finance at Warwick Business School. His recent research has aimed to carry out large scale experiments on complex social and economic systems by exploiting the volumes of data being generated by our interactions with technology.
In 2010, Preis headed a research team which provided evidence that search engine query data and stock market fluctuations are correlated. In 2012, Preis and his colleagues Helen Susannah Moat, H. Eugene Stanley and Steven R. Bishop used Google Trends data to demonstrate that Internet users from countries with a higher per capita GDP are more likely to search for information about the future than information about the past.
Preis received his Ph.D. in Theoretical Physics from the Johannes Gutenberg University of Mainz in 2010 and draws on an interdisciplinary background in physics, economics, and computer science. He has authored more than 30 scientific publications, published a book about the physics of financial markets and acts as a reviewer for more than 15 leading international journals. Preis serves as an Academic Editor of the multidisciplinary journal PLoS ONE.
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