Ganna Pogrebna is the Lead for Behavioural Data Science at the Alan Turing Institute and Professor of Behavioural Economics and Data Science at the University of Birmingham. Blending behavioural
science, computer science, data analytics, engineering and business model innovation, Pogrebna helps businesses, charities, cities and individuals to better understand why they make the decisions
they make and how they can optimise their behaviour to achieve higher profit, better (cyber)security, more desirable social outcomes, as well as flourish and bolster their well-being.
Pogrebna is interested in analysing individual and group decision-making under risk and uncertainty using laboratory experiments, field experiments and non-experimental data. She studies how
decision-makers reveal their preferences, learn, co-ordinate and make trade-offs in static and dynamic environments. Her work aims to develop quantitative models capable of describing and
predicting individual and group behaviour under risk and uncertainty. Using an algorithmic approach, Pogrebna works on hybrid models at the intersection between decision theory and machine
learning (particularly, Anthropomorphic Learning).
Her recent projects focus on AI in media, smart technological and social systems, cybersecurity, Artificial Intelligence, human-computer interactions (HCI), human-data interactions (HDI), and
business models. Her work was published in highly reputable peer-refereed academic journals and recognised by a large number of awards including the Leverhulme Fellowship Award as well as the
Economic and Social Research Council–the Alan Turing Institute Fellowship Award.
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