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My research is focused on the cognitive and neural basis of judgment and decision-making, more easily termed Decision Neuroscience.
Decision Neuroscience offers a novel approach to the study of both individual and interactive decision-making by combining the methods of behavioral experiments, functional neuroimaging, and formal economic models. Use of this methodology has the potential to advance our knowledge of existing theoretical accounts of how people make decisions and judgments by informing and constraining these models based on the underlying neurobiology.
Examining sophisticated high-level behavior at a neural level, such as deciding on how much risk to take with an investment or deciding on a strategy when playing a competitive game with an opponent, can provide important clues as to the fundamental mechanisms by which decision-making operates. A further goal of our group is to use the knowledge gleaned from these studies to inform public policy debates, for example in understanding how expectations play a role in financial and health-care decisions.


For more information about my laboratory and current research projects, take a look here.

To read more about the Radboud Center for Decision Science, look here.

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