Resource Library

The Chief Evaluation Office of the U.S. Department of Labor (DOL CEO) is committed to using innovative tools to meet the Department’s research, evaluation, and data analytics needs. In December 2021, DOL CEO commissioned the Westat Insight and American Institutes for Research® (AIR®) study team to explore potential opportunities to use machine learning methods to facilitate the automated data collection of labor-relevant data.

The Navajo Nation Research Brief of the Black Lung Incidence Study identifies the current state of knowledge on black lung disease as it relates to coal mining and residential coal use in the Navajo Nation. It identifies prevalence rates in the U.S. counties that overlap with the Navajo Nation borders, estimates prevalence rates in those counties, and discusses data limitations specific to the Navajo Nation.

The report presents the findings of a literature review ad quantitative analysis conducted under the Black Lung Incidence Study. The study was designed to examine black lung incidence in the United States, exploring both cases and deaths. Within this scope, the study examined whether black lung incidence is higher among specific subpopulations of interest, including miners, mining communities, the Navajo Nation, and residents of Appalachia.

One component of the Mine Safety and Health Administration’s (MSHA’s) mission to “prevent death, illness, and injury from mining and promote safe and healthful workplaces for U.S. miners” is protecting coal miners and coal mining communities from black lung disease (“Mission”). In support of that mission, the literature review expands the U.S.

In 2022, the Chief Evaluation Office (CEO) partnered with the Mine Safety and Health Administration (MSHA) and commissioned contractor Summit Consulting, LLC (Summit) to conduct the Black Lung Incidence Study under the Administrative Data Research and Analysis portfolio of studies.

In 2021, the Chief Evaluation Office (CEO) funded contractor Westat Insight and their partner American Institutes for Research to conduct the Explorations in Data Innovations project under the Administrative Data Research and Analysis portfolio of studies. This use case study was designed to explore options around employing machine learning to create and maintain a public-facing, labor-related data catalog.

The U.S. Department of Labor’s (DOL) Employee Benefits Security Administration (EBSA), in conjunction with the Internal Revenue Service (IRS) and the Pension Benefit Guaranty Corporation (PBGC), publishes the Form 5500 Annual Return/Report of Employee Benefit Plan (Form 5500) and the Short Form Annual Return/Report of Small Employee Benefit Plan (Form 5500-SF).

In 2017, the Chief Evaluation Office (CEO) partnered with the Employee Benefits Security Administration (EBSA) and funded contractor Summit Consulting to conduct An Analysis of Benefit Plans Auditors under the Administrative Data Research and Analysis portfolio of studies. The statistical analysis aims to analyze trends in employee benefit plan audit quality, particularly when plan administrators change certified public accountant (CPA) firms.

The report presents findings from a trend analysis of benefit plan auditors using 5500 filing data and audit reviews conducted by Employee Benefits Security Administration (EBSA) between plan years 2011 and 2015. EBSA administers and enforces the reporting, disclosure, and fiduciary requirements of Title I of the Employee Retirement Income Security Act of 1974 (ERISA). EBSA’s Office of the Chief Accountant, Division of Accounting Services enforces annual audit requirements of employee benefit plans.

In 2018, the Chief Evaluation Office (CEO) partnered with the Office of Workers’ Compensation Programs (OWCP) and funded contractor Summit Consulting to conduct Return-to-Work Outcomes for Federal Employees in the Office of Workers’ Compensation Disability Management Program under the Administrative Data Research and Analysis portfolio of studies.