Detection of Implementation Science focus within incoming grant applications
Description
This tool uses natural language processing and machine learning to calculate an Implementation Science score that is used to predict if a newly submitted grant application proposes to use science that can be categorized as "Implementation Science."
Detailed example
For inputs, it leverages NHLBI application text (title/abstract) and classification categories in Dimensions for NIH. For outputs, the report provides NHLBI application metadata (unchanged) and a score for relevancy to implementation science.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The AI report tool assigns the grant application to a particular division for routine grants management oversight and administration.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Leverages NIH application data from IRDB.