Abstract: Embodiments of a method and system for facilitating improvement of a user condition through tailored communication with a user can include receiving a log of use dataset associated with a digital communication behavior at a mobile device, the log of use dataset further associated with a time period; receiving a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility supplementary dataset associated with the time period; determining a tailored communication plan for the user based on at least one of the log of use dataset and the mobility supplementary dataset; transmitting, based on the tailored communication plan, a communication to the user at the mobile device; and promoting a therapeutic intervention to the user in association with transmitting the communication.

Abstract: In variants, a method for automatically determining responses in a messaging platform can include: receiving a set of inputs; determining a set of response options based on the set of inputs; and providing the set of response options to a user. The method can optionally further include training and/or updating a set of models, and/or updating a corpus of historical responses.

Abstract: Embodiments of a method and system for facilitating improvement of a user condition through tailored communication with a user can include receiving a log of use dataset associated with a digital communication behavior at a mobile device, the log of use dataset further associated with a time period; receiving a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility supplementary dataset associated with the time period; determining a tailored communication plan for the user based on at least one of the log of use dataset and the mobility supplementary dataset; transmitting, based on the tailored communication plan, a communication to the user at the mobile device; and promoting a therapeutic intervention to the user in association with transmitting the communication.

Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: Embodiments of a method and system for improving sleep characterization and/or a sleeping-related disorder for a user associated with a sleep session can include receiving a log of use dataset corresponding to user digital communication behavior at a mobile device, the log of use dataset associated with the sleep session; receiving a supplementary dataset characterizing activity of the user and/or mobile device, the supplementary dataset associated with the sleep session; characterizing a sleep-related parameter for the user based on at least one of the log of use dataset and the supplementary dataset; determining a sleep care plan for the user based on the sleep-related parameter, the sleep care plan including a therapeutic intervention; and promoting a therapeutic intervention to the user according to the sleep care plan.

Abstract: In variants, a method for automatically determining responses in a messaging platform can include: receiving a set of inputs; determining a set of response options based on the set of inputs; and providing the set of response options to a user. The method can optionally further include training and/or updating a set of models, and/or updating a corpus of historical responses.

Abstract: A system for data encryption includes any or all of: a set of items, a set of keys, and a server. A method for data encryption includes any or all of: encrypting items, sharing items, and reading items. The method can optionally additionally or alternatively include any or all of: performing a registration process, creating items, restricting access of users and/or supplementary systems to items, and/or any other suitable processes.

Abstract: Embodiments of a method and system for improving care determination for care providers in relation to a condition of a user associated with a mobile device can include: collecting a log of use dataset associated with user digital communication behavior at the mobile device; collecting a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device; determining a medical status analysis for a condition of the user based on at least one of the log of use dataset and the mobility supplementary dataset, the medical status analysis including at least one of a diagnosis and a therapeutic intervention associated with the condition; and promoting the at least one of the diagnosis and the therapeutic intervention to a care provider.

Abstract: A system for computer-aided escalation can include and/or interface with any or all of: a set of user interfaces (equivalently referred to herein as dashboards and/or hubs), a computing system, and a set of models. A method for computer-aided escalation includes any or all of: receiving a set of inputs; and processing the set of inputs to determine a set of outputs; triggering an action based on the set of outputs; and/or any other processes.