Research
Research from Ridgeline on modeling, sustainment, and mission-critical systems.
Improving System Sustainment through an Integrated Modeling Schema Coupled with Effective Execution of the Lifecycle Sustainment Plan
A technical report on integrating traditional and AI-based models with lifecycle sustainment planning to improve operational and material availability.
Improving Predictive Accuracy in Elections
A continuous individual-level scoring approach that combines voter records, polls, and donor data to improve election forecasts.
On Identifying Critical Nuggets of Information During Classification Tasks
A method for finding small, high-value subsets of data that can improve classification accuracy and reduce false positive and false negative errors.