Pascal completed post-graduate studies in organisational behaviour and behavioural decision theory (BDT) and doctoral studies in consumer behaviour (cognitive and mathematical psychology, economics of choice, consumer psychology).
He is the author of an upcoming global Ipsos e-publication titled MAPS: the road to behaviour change: • An introduction to MAPS and 4 I a process to design effective behaviour change interventions. • A review of key insights from behavioural science across disciplines as applied to public sector behaviours.
Sections include reasoning, the role of emotion, social forces, how we construct situations, reinforcement of behaviour, attention and the role of energy conservation on behaviour. This e-publication is packed with examples from around the world to illustrate the use of behavioural insights to change behaviour, videos and links to websites and academic references.
There are lots of bad things to say about surveys. But only because researchers forget or ignore that people have poor insight into their own motivations and their decision processes, unreliable memories, constant demands on attention, complex lives, uncomputer-like cognitive capabilities and limited energy resources. Research however has long figured out ways to avoid these pitfalls, either by adapting surveys or using other sources of information (e.g. actual observation or passive monitoring, neurotools like EEG, GSR or eye tracking, social media and web analytics, etc.). So does it mean that surveys are something of the past or is there actually a future for surveys? Is it death or is there some cake?
Ethologists have not choice but to observe behaviour (animals don’t speak). Humans however do speak. This is to our advantage if we know how to make the best of questions-answers as well as free talk. Rather than make surveys redundant as a careless interpretation of behaviour science would show (the rationality misunderstanding), Technology actually makes surveys, properly designed and used, more relevant than they have ever been. Device agnostic micro-surveys limit their obtrusiveness whilst machine learning algorithms (MLAs), the workhorse of AI, are unmatched at finding patterns in haystacks of data and BeSci turns patterns into behavioural insights for clients.
This presentation highlights the pitfalls of surveys that are still around and shows how technology (surveytech, AI and BeSci) can give new life to surveys and better insights for clients.