Program Classification Coding
Description
To aid users, a solution has been developed that suggests the specific PCC that should be assigned to each application.
Detailed example
Model Inputs: Impac II data fields (Specific Aims, Project Title, and Study Section) and Out put is top 3 predicted PCCs. User views list of applications and top 3 suggestions by clicking on a report for the selected council date. Use can filter view by IC/OrgCode and Program Officers names.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The Division staff is responsible for handling a large volume of applications during each council round, with the task of processing and assigning PCCs. To aid users, a solution has been developed that suggests the specific PCC that should be assigned to each application.
Controls / human review
ATO: Not reported; PIA: Not published