Predictive Analytics Supporting Labor Market Success: A Career Explorer for Job Seekers and Workforce Professionals in Michigan

Christopher J. O’Leary, Kevin Doyle, Ben Damerow, Kenneth J. Kline, Beth C. Truesdale, Salomon Orellana, Randall W. Eberts, Amy Meyers, Anna Wilcoxson and Scott Powell

Economic Development Quarterly, 2025, vol. 39, issue 1, 6-23

Abstract: 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.

Keywords: dislocated workers; disadvantaged adults; labor market information; career exploration; reemployment services; workforce development; Workforce Innovation and Opportunity Act (WIOA)‌; J65; J68; H76 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:sae:ecdequ:v:39:y:2025:i:1:p:6-23

DOI: 10.1177/08912424241271163

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