JIT Automated Calculator (JAC)

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2023-05 (month precision)Source: May-23

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Administrative Functions

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

NIGMS requires extra justification to fund investigators whose total grant money exceeds $1.5M.  Applicants are required to submit lengthy forms detailing all of their support and those of their key personnel.  These forms are quite long and require quite a bit of time to read and tally up funding totals.  This NLP searches the entire form and adds up all of the totals to help NIGMS program staff determine total funding for all key personnel of a grant application.

Expected benefits

At NIGMS we like to know how much total support an investigator has to ensure that we are not funding PIs who are already adequately resourced. However, JIT Other Support forms consist of many pages of freeform text in PDF format.  Thus, it can be quite tedious for program officers (POs) to copy and paste information from these forms into a spreadsheet to determine how much funding a PI has. JAC can perform these calculations for POs automatically (assuming, of course, that the information has been entered correctly by the PIs).

System outputs

Input: Grant application JIT Other Support Form PDFs from NIH IMPAC II database. Output: Editable spreadsheet of parsed data and funding summary data for each person in the Key Personnel tables of the application.

Technology

AI classification

Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.

System name(s)

Not reported

Custom-developed code

Yes

Public source code

It is not publicly available.

Sourcing

How it was built

Developed in-houseSource: b) Developed in-house

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

No

Privacy Impact Assessment

Not reported

Authorization to Operate

No

Demographic features

k) None of the above

Training and evaluation data

All data come from the internal NIH IMPAC II database.

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported