Overview of behavioural data science

This chapter provides an overview of Behavioural Data Science and categorises it into three strands: Human Behaviour, Algorithmic Behaviour and Systems Behaviour. The Human Behaviour strand seeks to understand and predict human behaviour using large datasets in a wide variety of applications. The Algorithmic Behaviour strand seeks to improve the performance of algorithms by studying how algorithms behave as well as how they process data about humans and systems, predicting future patterns. The Systems Behaviour strand studies how humans and algorithms collaborate in complex systems. The chapter also highlights the challenges and limitations of Behavioural Data Science, including ethical considerations and potential biases in data interpretation. It concludes with a discussion of the future of Behavioural Data Science and its potential for further advancements.