Abstract: A computer-implemented method for determining a risk score reflecting the risk that a police officer may be involved in an adverse event in the future having a computer system preprocessing data to create residual features; the computer system iteratively running models using the collected data and residual features; the computer system identifying the model that best predicts whether a police officer may be involved in an adverse event in the future; and, the computer system generating a risk score by running the model.

Abstract: A system and method for determining a score reflecting the use of force that a police officer applied in an incident, comprising a computer system for collecting, storing and processing data relating to an incident involving the police officer's use of force in one or more interactions within an incident; the computer system iteratively generating scores for each use of force interactions within the incident; the computer system comparing the police officer's use of force score, whether overall or for an interaction to a score for a group of officers; and, the computer system generating a risk score by running a model based on the use of force score.

Abstract: A computer-implemented method for determining a risk score reflecting the risk that a police officer may be involved in an adverse event in the future having a computer system preprocessing data to create residual features; the computer system iteratively running models using the collected data and residual features; the computer system identifying the model that best predicts whether a police officer may be involved in an adverse event in the future; and, the computer system generating a risk score by running the model.

Abstract: A method, computer program product, and computer system for identifying, by a computing device, a user profile of a plurality of user profiles associated with a profession, wherein the user profile may be associated with a user. The user profile may be analyzed. It may be determined that the user is eligible to receive an assessment based upon, at least in part, analyzing the user profile. The assessment may be administered to the user. Answers for the assessment provided by the user may be recorded. A score for the assessment may be generated based upon, at least in part, the answers for the assessment provided by the user. A recommended course of a plurality of courses for the user to receive may be identified based upon, at least in part, the score for the assessment.

Abstract: A method, computer program product, and computer system for identifying, by a computing device, historical information associated with filling a substitute position for a profession, wherein the historical information may include a plurality of categories. At least a first portion of categories of the plurality of categories may be selected to be used in a prediction model. A prediction may be generated for at least one of a number of future substitute positions for the profession that will be available and a number of the future substitute positions for the profession that will be filled.