The treatment and assessment of pain is subject to health disparities. To date, our ability to study the social processes that give rise to these disparities in laboratory settings has been limited due to a lack of diverse datasets of facial expressions of pain. These conclusions about how individuals respond to others in pain have been limited to stimuli that involve actors or computer-generated stimuli. We and others recognized this gap in the literature and have recently collected video data from real participants undergoing painful and nonpainful stimulation (protocol 17-AT-0155, “Sociocultural & Biobehavioral Influences on Pain Expression and Assessment”). Our participants were able to opt in or out of having their data included in a database of facial pain expressions. In this IRB-exempt project, we now seek to understand how these stimuli are perceived and evaluated, and how they compare to other published datasets of pain and or other emotional expressions. We will use programs such as Amazon's Mechanical Turk to evaluate how these images are perceived, to test whether different psychological and sociodemographic factors affect pain assessment, and to collect normed ratings of social stimuli for use in stimulus selection in subsequent individual studies. During the past year, we obtained approval for the IRB-exempt protocol. We are in the process of creating stimuli now, and plan for initial online pilot studies to begin in early FY25. Due to the large number of stimuli (videos of different participants undergoing multiple trials with different pain modalities) the study will proceed with multiple sub-studies to have sufficient statistical power. Findings from sub-studies will be used to determine whether social factors affect pain assessment, to select normed stimuli for future studies, and to provide normed ratings for inclusion in a publicly available dataset which we hope to release in the second half of FY25.