Academic Journal
Predictive Analytics Supporting Labor Market Success: A Career Explorer for Job Seekers and Workforce Professionals in Michigan
| Title: | Predictive Analytics Supporting Labor Market Success: A Career Explorer for Job Seekers and Workforce Professionals in Michigan |
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| Authors: | Christopher J. O’Leary, Kevin Doyle, Ben Damerow, Kenneth J. Kline, Beth C. Truesdale, Salomon Orellana, Randall W. Eberts, Amy Meyers, Anna Wilcoxson, Scott Powell |
| Source: | Economic Development Quarterly. 39:6-23 |
| Publisher Information: | SAGE Publications, 2024. |
| Publication Year: | 2024 |
| Subject Terms: | workforce development, Job search, Unemployment insurance, workforce areas, Economics, Social and Behavioral Sciences, 0502 economics and business, LABOR MARKET ISSUES, Workforce Innovation and Opportunity Act (WIOA), career exploration, UNEMPLOYMENT, WIA, reemployment services, DISABILITY, dislocated workers, disadvantaged adults, 05 social sciences, labor market information, and INCOME SUPPORT PROGRAMS, On the job training, Public training programs, JTPA, Job skills and standards, occupational choice, WORKFORCE DEVELOPMENT, Employer provided training, Labor Economics, and CETA, 8. Economic growth, Apprenticeship training, occupational mix of employment, industrial mix of employment |
| Description: | Career Explorer provides customized career exploration tools for workforce development staff and job seekers in Michigan. There are two separate Career Explorer modules: a staff-mediated service and a self-service for job seekers. The system was developed by the Michigan Center for Data and Analytics in collaboration with the W.E. Upjohn Institute for Employment Research and Michigan Works! Southwest. It was funded by the U.S. Department of Labor's Office of Workforce Investment and the Schmidt Futures’ Data for the American Dream (D4AD) project. In this paper, the authors describe the machine learning models behind the predictive analytics of the frontline staff-mediated version of Career Explorer. These models were trained on program administrative data. Additionally, the authors describe the self-service version of Career Explorer, which provides clients with customized labor market information based on published U.S. Bureau of Labor Statistics data. Career Explorer became an active feature of Michigan's online reemployment services system in June 2021. |
| Document Type: | Article |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 1552-3543 0891-2424 |
| DOI: | 10.1177/08912424241271163 |
| DOI: | 10.17848/wp23-391 |
| Rights: | URL: https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| Accession Number: | edsair.doi.dedup.....52a4b205744473cfdeae0f4cefac6bc4 |
| Database: | OpenAIRE |
| ISSN: | 15523543 08912424 |
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| DOI: | 10.1177/08912424241271163 |