Personalized risk and reward criteria for workforce management

A computer system for integrating uncertainty quantifications into a risk based calendar, comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• analyzing, using one or more linguistic analysis techniques, data received for an organization, wherein the one or more linguistic analysis techniques are utilized in understanding requirements for each of one or more locations of the organization;
• generating a risk based calendar using the data received for the organization, wherein the risk based calendar is embedded with one or more uncertainty quantifications based on quantified probabilities of uncertain events and a corresponding impact on each of the one or more locations of the organization;
• presenting the risk based calendar to a plurality of users associated with the organization, wherein the risk based calendar includes incentive offers to a user generated by a Deep Neural Network based on the requirements for each of the one or more locations of the organization, wherein the risk based calendar is presented with a game board, and wherein the Deep Neural Network is retrained based on the incentive offers selected by users to improve a selection of low probability times of the uncertain events;
• and
• providing one or more recommendations to at least one of the plurality of users, wherein the one or more recommendations are provided using one or more prediction algorithms, wherein the one or more prediction algorithms utilizes at least one or more of, organizational requirements, user preferences, or games rules in providing the one or more recommendations, and wherein the one or more prediction algorithms includes Random Forest Quantile Regression.

A computer program product for integrating uncertainty quantifications into a risk based calendar, comprising:

• one or more non-transitory computer-readable storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:
• analyzing, using one or more linguistic analysis techniques, data received for an organization, wherein the one or more linguistic analysis techniques are utilized in understanding requirements for each of one or more locations of the organization;
• generating a risk based calendar using the data received for the organization, wherein the risk based calendar is embedded with one or more uncertainty quantifications based on quantified probabilities of uncertain events and a corresponding impact on each of the one or more locations of the organization;
• presenting the risk based calendar to a plurality of users associated with the organization, wherein the risk based calendar includes incentive offers to a user generated by a Deep Neural Network based on the requirements for each of the one or more locations of the organization, wherein the risk based calendar is presented with a game board, and wherein the Deep Neural Network is retrained based on the incentive offers selected by users to improve a selection of low probability times of the uncertain events;
• and
• providing one or more recommendations to at least one of the plurality of users, wherein the one or more recommendations are provided using one or more prediction algorithms, wherein the one or more prediction algorithms utilizes at least one or more of, organizational requirements, user preferences, or games rules in providing the one or more recommendations, and wherein the one or more prediction algorithms includes Random Forest Quantile Regression.