Computational modeling of decision making enhances the adversity researcher's toolbox

Over the past decades, there has been major progress in our understanding of how adversity influences cognitive abilities and strategies. However, most of this research is based on raw performance, such as response times and accuracy. These measures are informative about decision-making outcomes, but tell us little about cognitive processes. In this paper, we argue that adversity researchers should draw more on computational modeling of decision making. We focus on the Drift Diffusion Model, a well-established model of decision making which quantifies the efficiency of information processing, response caution, response bias, and speed of stimulus encoding and response execution. This model allows adversity researchers to gain insights into the cognitive processes that are associated with adversity exposure. We focus on recent insights in two areas of decision making: executive functioning and explore-exploit tradeoffs. We conclude with future directions for the field.