We are conducting a scientific study to analyse human happiness.

The project is designed to give a greater insight in the complex interactions between factors contributing to happiness. In a second phase, the project aims to predict what changes would most quickly lead to a higher degree of happiness. Not just in general but based on unique personal situations.

The likely benefit of this study is a better understanding of happiness or as psychologists like to call it: subjective well-being. More specifically, the contribution of the different contributing factors and their complex interactions to the level subjective well-being will be revealed. It is expected that the neural network approach will provide a way to capture the complex interaction to help increase happiness in a personalized way.