DOL · DOL-27 · record R1296

Worker PLUS Microsimulation Program

Department of Labor · CEO - WB

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 making decisions only simulation
Start date: 2021-03-01 (day precision)Source: 03/01/2021 00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Human Resources
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The Worker PLUS model was developed as an evolutionary iteration of the Paid Family and Medical Leave Simulator Model developed by Albelda and Clayton-Matthews (the ACM model)

Expected benefits

Worker Paid Leave Usage Simulation (Worker PLUS) is an open-source simulation tool that can be used by researchers and federal, state, and local policy makers to estimate the effects of various worker leave scenarios and policy options on worker leave-taking behavior, and to estimate the benefits paid as well as costs of administering any given program.

System outputs

The model simulates specific leave-taking behavior and outcomes (including number of leaves, leave lengths, benefit levels, and benefit eligibility) with individual workers in a state using data from the five-year American Community Survey (ACS) Public Use Microdata Sample (PUMS)

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): Not reported
Custom-developed code: Yes
Public source code: www.dol.gov ↗

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): DOLQ129633247
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: Gender/Sex, Age, Income, Employment status
Training and evaluation data: CEO/WHD 2018 FMLA Employee Survey, American Community Survey
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.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported