Abstract: Systems and methods are described for automated, user-configurable, unique, hyper personalized and specific to the engagement, objective and/or transaction, rules based human and machine workflow management system. Systems, machine learning, artificial intelligence, and/or natural language processing can be used to identify, review, score, filter, display and categorize various forms of content, communications and collaborations. Human and machine review participants can be automatically provided content for review in a specific subject matter or topic. Distributed ledgers, centralized databases, and/or other computerized machine technologies, can help provide secure attribution and authentication of content as well as management of content review, publishing, editing, collaboration, and compensation contracts. User-configurable transparent scoring of all human, machine and organizations activities provide basis for communications, engagement, collaboration, compensation and terms.

Abstract: Systems and methods are described for automated, user-configurable, unique, hyper personalized and specific to the engagement, objective and/or transaction, rules based human and machine workflow management system. Systems, machine learning, artificial intelligence, and/or natural language processing can be used to identify, review, score, filter, display and categorize various forms of content, communications and collaborations. Human and machine review participants can be automatically provided content for review in a specific subject matter or topic. Distributed ledgers, centralized databases, and/or other computerized machine technologies, can help provide secure attribution and authentication of content as well as management of content review, publishing, editing, collaboration, and compensation contracts. User-configurable transparent scoring of all human, machine and organizations activities provide basis for communications, engagement, collaboration, compensation and terms.