Abstract: Disclosed herein is a method for facilitating analysis of a model. Accordingly, the method may include receiving, using a communication device, a model data associated with a model from a user device, assessing, using a processing device, the model data, identifying, using the processing device, a field associated with the model based on the assessing, analyzing, using the processing device, the field based on the identifying of the field, identifying, using the processing device, a related field associated with the field based on the analyzing of the field, analyzing, using the processing device, the related field based on the model, generating, using the processing device, a notification based on the analyzing of the related field, transmitting, using the communication device, the notification to the user device, and storing, using a storage device, the model data and the model.

Abstract: A method for personal data administration in a multi-actor environment is performed by a system that includes a data management process managed by a remote server. The system includes a user profile that is associated to a user PC device and includes a set of data management protocols and a user data registry. The system also includes a third-party account that is associated to an account ID and a third-party data registry. The method begins when a data transmission notification is received by the remote server. The remote server analyzes the notification to select an appropriate protocol from the data management protocols. The method then executes the data management protocol, makes a record of the interaction, and transmits an outgoing data packet to the third-party account. The method then monitors the outgoing data packet to determine if the user data contained therein has been transferred interacted or tampered with.

Abstract: Disclosed herein is a method for facilitating analysis of a model. Accordingly, the method may include receiving, using a communication device, a model data associated with a model from a user device, assessing, using a processing device, the model data, identifying, using the processing device, a field associated with the model based on the assessing, analyzing, using the processing device, the field based on the identifying of the field, identifying, using the processing device, a related field associated with the field based on the analyzing of the field, analyzing, using the processing device, the related field based on the model, generating, using the processing device, a notification based on the analyzing of the related field, transmitting, using the communication device, the notification to the user device, and storing, using a storage device, the model data and the model.

Abstract: A method for personal data administration in a multi-actor environment is performed by a system that includes a data management process managed by a remote server. The system includes a user profile that is associated to a user PC device and includes a set of data management protocols and a user data registry. The system also includes a third-party account that is associated to an account ID and a third-party data registry. The method begins when a data transmission notification is received by the remote server. The remote server analyzes the notification to select an appropriate protocol from the data management protocols. The method then executes the data management protocol, makes a record of the interaction, and transmits an outgoing data packet to the third-party account. The method then monitors the outgoing data packet to determine if the user data contained therein has been transferred interacted or tampered with.

Abstract: A method and system for monitoring an individual through his or her interactions with a user computing device. The method includes monitoring the user computing device for interactive activity data with a remote server. The interactive activity data is then parsed to identify an at least one erratic behavior datum, wherein the erratic behavior datum meets a criterion from risk-behavior criteria. The risk-behavior criteria are set by an administrative account and other external entities. If the erratic behavior datum is identified, then contextual data associated with the erratic behavior datum is extracted from the interactive activity data for provide additional descriptive information to the administrative account for review. Finally, a notification alert is sent from the remote server to an administrative computing device for review. The notification alert includes the erratic behavior datum and the associated contextual data.

Abstract: A method for implementing intelligent parental controls uses a remote server to manage a child profile that is associated to a child computing device. The child profile is associated to static prohibitions that have been defined by a parent and dynamic prohibitions that are generated by a machine learning engine. The static prohibitions and the dynamic prohibitions are rulesets that define the activities in which child profile is allowed to engage. The child device is continually monitored to identify if the child is interacting with the child device. The behavioral information from the child's interactions is sent to the remote server as a group of behavioral datasets. The method is then used to categorize the behavioral datasets as either statically or dynamically prohibited based on contextual information contained in the datasets. The method then executes a behavioral modification process to generate an appropriate response to the child's actions.

Abstract: A method and system for monitoring an individual through his or her interactions with a user computing device. The method includes monitoring the user computing device for interactive activity data with a remote server. The interactive activity data is then parsed to identify an at least one erratic behavior datum, wherein the erratic behavior datum meets a criterion from risk-behavior criteria. The risk-behavior criteria are set by an administrative account and other external entities. If the erratic behavior datum is identified, then contextual data associated with the erratic behavior datum is extracted from the interactive activity data for provide additional descriptive information to the administrative account for review. Finally, a notification alert is sent from the remote server to an administrative computing device for review. The notification alert includes the erratic behavior datum and the associated contextual data.