Abstract: A computer-implemented method is disclosed. The method comprises managing a plurality of user accounts, including a first user account associated with a first user and a first user device and a second user account associated with a second user and a second user device, the first user account being associated with an alliance network comprising the second user account as an alliance network member to the first user account. The method further comprises determining one or more interests of the first user from a first set of data sources, including a user profile associated with the first user account, an online activity log associated with the first user account, and a first plurality of digital communications offered by the first user account for exploration of relationships. The method further comprises detecting a new contact of the alliance network and identifying one or more interests of the new contact from a second set of data sources.

Abstract: A computer-implemented method and system provide the ability to determine and provide a safety risk analysis for construction. Construction related data is obtained and includes textual data and a visual artifact for the construction project. A construction safety context is identified based on the construction related data. Based on the construction safety context, a safety participant risk score that assigns a numerical safety risk participant value to any entity involved in the construction project is determined. Based on the safety risk participant score, a safety project score that assigns a risk level on a per-project basis is determined. The safety risk analysis is presented based on the safety participant risk score and safety project score, via a graphical user interface.

Abstract: A communication management server computer (“server”) and related methods are disclosed to create and store digital records representing alliances between user accounts and to use the alliance records in filtering messages or other content and/or determining attributes of messages or content for display. The server allows two electronic devices associated with two user accounts to establish an alliance, where each of the two user accounts offers a set of digital communications for exploration of relationships and agrees to share certain types of information regarding the relationships with the other user account.

Abstract: A method of managing unanswered digital communications is disclosed. The method comprises identifying, by a processor, a list of digital communications associated with a user account of a user account as expecting a response or a follow-up; determining, by the processor, a group of unanswered digital communications from the list of digital communications; assigning priorities to the group of unanswered digital communications, the priorities indicating an order of responding to the group of unanswered digital communications; transmitting a notification regarding one or more of the group of unanswered digital communications to the user account, the notification including information related to the ranking.

Abstract: A communication management server computer (“server”) and related methods are disclosed to create and store digital records representing alliances between user accounts and to use the alliance records in filtering messages or other content and/or determining attributes of messages or content for display. The server allows two electronic devices associated with two user accounts to establish an alliance, where each of the two user accounts offers a set of digital communications for exploration of relationships and agrees to share certain types of information regarding the relationships with the other user account.

Abstract: A system and method provide the ability to control an architecture, engineering, and construction (AEC) project workflow. AEC data regarding a quality of construction is obtained. A set of classifiers and machine learning models are obtained. The AEC data is augmented based on the set of classifiers and machine learning models. A risk metric is generated for one or more issues in the AEC data based on the augmented AEC data. The risk metric is interactively generated and presented on a display device. Work, project resourcing, and/or training are prioritized based on the risk metric.