Introduction
Human behaviour is a major source of data in the current digital economy. At the same time, it is also one of the main 'objects' of data science in the sense that many data science and artificial intelligence models are aimed at influencing human behaviour (e.g. through 'nudging', personalisation, and behavioural segmentation).
Explaining the science
Aims
Our goal is to address theoretical and empirical challenges related to human behaviour through development of innovative, impactful, and responsible approaches. By combining AI, data science, and behavioural science methodologies these approaches will help cities, businesses, charities and individuals better understand why they make the decisions they make, and how they can optimise their behaviour to achieve better economic and social outcomes.
Our ambition is to transform the world by:
- Understanding how AI, data science, and behavioural science can form synergies and develop tangible and effective methodologies in order to map, analyse, and help alleviate major behavioural issues societies are facing today
- Providing valuable advice to businesses and policy makers about building happier, safer, more successful organisations and communities using behavioural insights
- Training new generation of scientists who will work at the forefront of behavioural data science and behavioural artificial intelligence in the future
We work on a number of applications including, but not limited to the following:
- Unravelling/understanding/quantifying wellbeing
- Understanding human decision making in real world contexts
- The interface of cognitive and computational systems
- Quantitative approaches to measuring behaviour
- Quantitative approaches to measuring psychological phenomena using big data
- Cross-cultural and historical psychology
- Understanding the spatiotemporal dynamics of cognition and behaviour
- Leverage naturally occurring (online) data for behavioural insights
- Cybersecurity as a behavioural science
Recent updates
Podcasts
See all available seminar videos in the below playlist by clicking the icon:
Organisers
Researchers
Dr Nikos Argyris
Lecturer in Operational Research, Loughborough University
Professor Daniel Sgroi
Professor of Economics, University of Warwick
Dr Konstantinos Katsikopoulos
Associate Professor of Behavioural Operations, University of Southampton
Dr Federico Botta
Lecturer in Data Science, University of Exeter
Dr Shweta Singh
Assistant Professor, University of Warwick
Dr Itziar Castello
Senior Lecturer in Digital Economy, University of Surrey
Dr Henrik Singmann
Assistant Professor, University of Warwick
Dr Georgios Kavetsos
Senior Lecturer in Behavioural Science, QMUL
Dr Nataliya Tkachenko
Research Associate, University of Oxford
Dr David Hugh-Jones
Associate Professor in Economics, UEA
Professor Peter Moffatt
Professor of Econometrics, UEA
Professor Daniel Read
Professor of Behavioural Science, University of Warwick
Professor Gordon Brown
Professor of Psychology, University of Warwick
Dr Lukasz Walasek
Assistant Professor of Psychology, University of Warwick
Rishabh Kumar
Associate, Decision TechnologyContact info
To receive updates about the group via their Slack channel, please contact Ganna Pogrebna at [email protected].
