A new state of the art for understanding dynamic self-regulation (2018–2022)

This project aims to develop and test a novel mathematical model that explains how people manage competing demands on their time and effort in a dynamic and uncertain environment. The project uses an integrative approach, bringing recent advances in mathematical psychology to bear on a problem of widespread interest within industrial and organisational psychology. The expected outcome is a quantitative theory that achieves a level of precision, generality, and testability that is unmatched in the field. The project will provide the basic research that is needed to extend mathematical models of self-regulation to complex tasks involving rapid decision making (e.g., air defence).
Grant type:
ARC Discovery Early Career Researcher Award
  • Senior Lecturer
    School of Psychology
    Faculty of Health and Behavioural Sciences
Funded by:
Australian Research Council