Sam Paul

Sam Paul
  • Title: Managing Partner
  • Company: The Behavioural Architects

Sam comes from an organisational psychology background, with specialist expertise in change management, behavioural economics, and experimental research design. Sam has significant experience with leveraging quantitative data via Randomised Controlled Trials, choice models, economic modelling and a vast array of advanced analytics.

He combines this expertise in statistics with Behavioural Economics consultancy, to ensure that the latest thinking in behavioural science is applied to all projects so clients get the best actionable insight. His knowledge of behavioural science stems from an MSc in Organisational Psychology, two theses on behavioural economics, and from experiences as a consultant and quantitative advisor to clients. Sam has an MSc in Organisational Psychology, a BSc in Psychology and Physiology, and is registered with the British Psychology Society.

Quantitative behavioural economics and research – a round table discussion

In the last decade Behavioural Economics (BE) has been re-shaping economics, business strategy, public policy, and is beginning to impact the way market research is conducted. In the world of MR, qual has clamoured to be at the forefront of BE and has embraced its benefits along with the ever-growing demand amongst research buyers.

The application of BE to quantitative research on the other hand has been slower to emerge. While there are many large-scale quant business solutions which tip their hat to BE, there has been few which are designed with BE at their heart, and even more rare is the application of BE to the design of customised ad-hoc research. In this submission, we propose that Behavioural Economics and Quantitative Research is considered as a round table discussion topic at the AMSRS 2019 conference.

We would run a facilitated discussion where the quantitative community can determine how to best use the knowledge of BE to make better choices around methodology, survey design, and analysis. The end outcome would be equip researchers with new knowledge, and a desire to learn more about BE to help them design more effective research.