Showing posts from January, 2020

Predictions for the next decade in Behavioral Science

Behavioral Scientist have put together their favourite predictions, ideas, worries and challenges in the field of behavioral science for the next decade. We were delighted they accepted our pitch on cogitive economics as one of the new oppportunities in the future! Here is our prediction for the future - what is yours? "The twenty-first century is pushing us toward an ever more digital, information-driven, persuasion-based global economy—just as a new set of tools are emerging in neuroscience and psychology that offer the power to understand these phenomena in a new way. Cognitive economics is a new field rooted in behavioral economics, paralleling the shift from behavioral to cognitive psychology. Rather than focusing on biases in choices between material goods, cognitive economists explore how people consume intangible products with their minds. Consumers no longer strive to acquire only material goods or earn the most money. Instead, they seek purpose, symbolic value, inte

Am I the person Dominic Cummings is looking for? A followup to The Times

For those interested in a bit more background to my Times article today , here are some details on how Cummings's topics have showed up in my cognitive economics research. You can judge for yourself if I have spotted what he is working towards. Starting with Judea Pearl's modelling of causality. Pearl developed a way of using graphs (a kind of diagram showing a network of relationships between objects – like the chocolate example below) to express and work out cause-and-effect relationships. For example, you might use them to determine whether smoking causes cancer, or carbon dioxide causes global warming – or more locally, whether cutting Universal Credit reduces unemployment. Quite often, we find that when scientists discover something about the structure of the world, the human brain has got there before us. The brain has evolved to seek out cause-and-effect relations in the world around us, and assemble them into a graph just like this. It learns the relationships by o