OMB Individually Reported
Automated Basic-Applied Categorization of extramural grants
Low riskExact public inventory row
Description
This machine-learning algorithm uses information about NIMH-funded research projects to categorize them as basic or applied research per the federal definitions for each.
Detailed example
Categorization of research as basic or applied.
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 algorithm is intended to be consistent in identifying basic and applied research, reduce burden of review by NIMH staff, and provide a complementary perspective to human review.
Controls / human review
ATO: Not reported; PIA: Not published