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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 Bridging the Gap for New Americans Act, Pub. L. No. 117–210, enacted in October 2022, required the Department of Labor (DOL) to conduct a study about New Americans, defined as lawfully present immigrants and refugees admitted to the United States during the 5-year period prior to the law (October 2017– October 2022) with occupational and professional credentials and academic degrees obtained outside the United States.
The Bridging the Gap for New Americans Act, Pub. L. No. 117–210, enacted in October 2022, required the Department of Labor (DOL) to conduct a study about New Americans, defined as lawfully present immigrants and refugees admitted to the United States during the 5-year period prior to the law (October 2017– October 2022) with occupational and professional credentials and academic degrees obtained outside the United States.
The report presents the findings from a review of existing research to address topics identified in the Bridging the Gap for New Americans Act,1 Pub. L. No. 117-210, enacted in October 2022. The Act asks the U.S. Department of Labor (DOL) to conduct a study about lawfully present immigrants and refugees admitted to the United States during the 5-year period prior to the law (October 2017–October 2022).
Theses appendices to the Onsite Construction Workforce Utilization by Sex and Race/Ethnicity Research Brief, produced under the Apprenticeship Evidence-Building and Administrative Data Research and Analysis portfolios of studies, summarize the methodology the study team used to estimate the pro
This brief, produced under the Apprenticeship Evidence-Building and Administrative Data Research and Analysis portfolios of studies, examines the participation of women and people of color (i.e., people who are not white) in construction apprenticeships to understand whether the underrepresentation of these groups in construction is reproduced in the apprenticeship system.
This brief, produced under the Apprenticeship Evidence-Building and Administrative Data Research and Analysis portfolios of studies, examines how the rates of utilization for women and people of color differ between onsite construction (i.e., boilermakers, brickmasons, blockmasons, stonemasons, carpenters, carpet installers, etc.), and similar occupations (i.e., forest and conservation technicians, landscaping and groundskeeping work
Employment in the construction industry continues to grow as legislation, such as the 2021 Infrastructure Investment and Jobs Act1 (IJA), and overall economic trends create increased demand for construction workers (Federal Reserve Bank of St. Louis, 2023). This anticipated growth and ongoing expansion of the construction industry may serve as an opportunity to build a more representative and equitable construction workforce.
The discussion paper explores issues related to research on application or user fees in programs administered by U.S. Department of Labor’s (DOL’s) Employment and Training Administration (ETA), based on a review of regulations, guidance, and selected research concerning such fees. The paper reviews available literature from those sources; briefly covers the purposes, general principles and practices related to application or user fees; summarizes possible factors related to research on such fees; and suggests some possible research activities on use of fees in an ETA program.
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.