The scope of NPP-Digital Psychiatry and Neuroscience will cover research that involves the use of digital technologies, including (but not restricted to) smart devices, wireless telemetry, motion sequencing, artificial intelligence, machine learning, bioinformatics, and computational approaches in the diagnosis, treatment, prevention, and study of psychiatric illnesses. This journal will prioritize publishing research that is translationally relevant (endpoints that can be used across species), and involves data sets that are continuous (collected over time) and objective (requiring minimal direct human observation and/or anthropomorphization). Successful articles will provide novel and impactful insights that advance the diagnosis of psychiatric illness or its core features, characterization of cellular mechanisms, assessment of therapeutic efficacy, identification of new therapeutic targets or methods, and/or prevention of new cases. The focus on translational alignment is intended to promote improvements in the ability of model systems to predict outcomes in humans and hasten the development of transformational treatments for psychiatric illness.