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     * Business Impacts of Artificial Intelligence
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 * Professor Suzy Moat

Professor Suzy Moat
Professor of Behavioural Science
0>
(Behavioural Science Group)
Suzy.Moat@wbs.ac.uk
024 765 73197
3.116
Suzy.Moat@wbs.ac.uk
024 765 73197
3.116

Suzy Moat is Professor of Behavioural Science at Warwick Business School, where
she co-directs the Data Science Lab. She is also a Fellow of The Alan Turing
Institute. Her research investigates whether data on our usage of the Internet,
from sources such as Google, Wikipedia and Flickr, can help us measure and even
predict human behaviour in the real world.

Moat'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.

Moat studied Computer Science at UCL and Psychology at the University of
Edinburgh and won a series of prizes during her studies. With her collaborator
and Data Science Lab co-director Tobias Preis, she led an online course on using
big data to measure and predict human behaviour which has attracted over 25,000
learners to date. Moat has also acted as an advisor to government and public
bodies on the predictive capabilities of big data.

Selected media coverage of her work includes:


Guardian (2013)
    "Which countries are the most forward thinking? See it visualised"
New Scientist (2012)
    "Online searches for future linked to economic success"
BBC (2013)
    "Google searches predict market moves"
Wired (2013)
    "Wikipedia page views could predict stock market changes"
Wall Street Journal (2014)
    "Do politics-themed Google searches predict stock activity?"
BBC (2015)
    "Crowds 'could be counted' with phone and Twitter data

CNN (TV interview, 2013)
BBC (TV interview, 2013)

Interview with Women in Business magazine (2013)

Interview with TechMix magazine (2014)

You can follow Suzy on Twitter at @suzymoat and see her publications on Google
Scholar.




RESEARCH INTERESTS

We increasingly rely on networked computer systems and smart cards to support
our everyday activities, and everything we do generates data - whether buying
bread at the supermarket, taking a ride on the Tube, or calling a friend for a
chat.

This data is opening up a new era for our understanding of human behaviour - and
also for policy making and business processes which depend upon this
understanding.

As a computational social scientist, my research investigates how the vast
amounts of data generated by our everyday use of technology can help us
understand and even predict how humans behave.


In June 2014, I chaired Europe's first Computational Social Science Conference
with Mark Carrigan and Tobias Preis.

Sign up to hear about future runs of our FutureLearn MOOC, Big Data: Measuring
and Predicting Human Behaviour!


LATEST JOURNAL ARTICLES

 * FASTER INDICATORS OF CHIKUNGUNYA INCIDENCE USING GOOGLE SEARCHES
   
   Miller, S., Preis, T., Mizzi, G., Bastos, L. S., Gomes, M. F. d. C., Coelho,
   F. C., Codeço, C. T. and Moat, H. S. 2022
   PLOS Neglected Tropical Diseases, 16, 6, e0010441

 * SCENICNESS ASSESSMENT OF ONSHORE WIND SITES WITH GEOTAGGED PHOTOGRAPHS AND
   IMPACTS ON APPROVAL AND COST-EFFICIENCY
   
   McKenna, R., Weinand, J. M., Mulalic, I., Petrović, S., Mainzer, K., Preis,
   T. and Moat, H. S. 2021
   Nature Energy, 6, 663-672

 * MEASURING THE SIZE OF A CROWD USING INSTAGRAM
   
   Botta, F., Moat, H. S. and Preis, T. 2020
   Environment and Planning B: Urban Analytics and City Science, 47, 9,
   1690-1703

 * SENSING GLOBAL TOURISM NUMBERS WITH MILLIONS OF PUBLICLY SHARED ONLINE
   PHOTOGRAPHS
   
   Preis, T., Botta, F. and Moat, H. S. 2020
   Environment and Planning A: Economy and Space, 52, 3, 471-477,
   0308518X1987277

Load more (31)


CONFERENCE ITEM

 * ESTIMATING TOURISM STATISTICS WITH WIKIPEDIA PAGE VIEWS
   
   Alis, C. M., Letchford, A., Moat, H. S. and Preis, T. 2015
   WebSci '15 Proceedings of the ACM Web Science Conference, 33, 1-2


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