Detection of Implementation Science focus within incoming grant applications

Section 1: Use Case Identifiers

Use Case ID: HHS-NIH-00027
Agency: HHS
Op Div/Staff Div: NIH
Use Case Topic Area: Government Services (includes Benefits and Service Delivery)
Is the AI use case found in the below list of general commercial AI products and services?
None of the above.
What is the intended purpose and expected benefits of the AI?
Grants management oversight and administration.

Assign the grant application to a particular division for routine grants management oversight and administration.
Describe the AI system's outputs.
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."
Stage of Development: Operation and Maintenance
Is the AI use case rights-impacting, safety-impacting, both, or neither?
Neither

Section 2: Use Case Summary

Date Initiated: 01/2019
Date when Acquisition and/or Development began: 01/2019
Date Implemented: 01/2020
Date Retired: N/A
Was the AI system involved in this use case developed (or is it to be developed) under contract(s) or in-house?
Developed with contracting resources.
Provide the Procurement Instrument Identifier(s) (PIID) of the contract(s) used.
N/A
Is this AI use case supporting a High-Impact Service Provider (HISP) public-facing service?
N/A
Does this AI use case disseminate information to the public?
No
How is the agency ensuring compliance with Information Quality Act guidelines, if applicable?
N/A
Does this AI use case involve personally identifiable information (PII) that is maintained by the agency?
No
Has the Senior Agency Official for Privacy (SAOP) assessed the privacy risks associated with this AI use case?
ongoing

Section 3: Data and Code

Do you have access to an enterprise data catalog or agency-wide data repository that enables you to identify whether or not the necessary datasets exist and are ready to develop your use case?
Yes
Describe any agency-owned data used to train, fine-tune, and/or evaluate performance of the model(s) used in this use case.
Leverages NIH application data from IRDB.
Is there available documentation for the model training and evaluation data that demonstrates the degree to which it is appropriate to be used in analysis or for making predictions?
Documentation is complete
Which, if any, demographic variables does the AI use case explicitly use as model features?
N/A
Does this project include custom-developed code?
No
If the code is open-source, provide the link for the publicly available source code.
N/A

Section 4: AI Enablement and Infrastructure

Does this AI use case have an associated Authority to Operate (ATO) for an AI system?
Yes
System Name: Dimensions for NIH and Analyst Support Infrastructure (ATO Letter - https://nih.sharepoint.com/:b:/s/NHLBI-ITAC-SECURITY/Eb_TarkpZPRCnX5RsGEBgQ8BgK4XC2_hjlsAVeHHLEjdww)
How long have you waited for the necessary developer tools to implement the AI use case?
Less than 6 months
For this AI use case, is the required IT infrastructure provisioned via a centralized intake form or process inside the agency?
Yes
Do you have a process in place to request access to computing resources for model training and development of the AI involved in this use case?
No
Has communication regarding the provisioning of your requested resources been timely?
No
How are existing data science tools, libraries, data products, and internally-developed AI infrastructure being re-used for the current AI use case?
Re-use production level code and/or data products
Has information regarding the AI use case, including performance metrics and intended use of the model, been made available for review and feedback within the agency?
Limited documentation for review