Publication Date

11-29-2023

Series

Upjohn Institute working paper ; 23-391

**Published Version**

Economic Development Quarterly 2024

DOI

10.17848/wp23-391

Abstract

Career Explorer provides customized career exploration tools for workforce development staff and job seekers in Michigan. There are separate Career Explorer modules for mediated staff services and self-service by 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 foundation’s Data for the American Dream (D4AD) project. In this paper, we describe specifications of the models behind the frontline-staff-mediated version of Career Explorer, which are based on program administrative data, applying data-science methods for predictive analytics. We also describe the self-service Career Explorer, which provides customized labor market information based on published Bureau of Labor Statistics data. Career Explorer became an active feature of Michigan’s online reemployment-services system in June 2021.

Issue Date

November 2023

Note

Upjohn project #69115

Sponsorship

U.S. Dept. of Labor Office of Workforce Investment and Schmidt Futures Foundation

Subject Areas

LABOR MARKET ISSUES; Dislocated workers; Job search; UNEMPLOYMENT, DISABILITY, and INCOME SUPPORT PROGRAMS; Unemployment insurance; WORKFORCE DEVELOPMENT; Public training programs; WIA, JTPA, and CETA; On the job training; Job skills and standards

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Citation

O'Leary, Christopher J., Salomon Orellana, Kevin Doyle, Randall W. Eberts, Ben Damerow, Amy Meyers, Kenneth J. Kline, Anna Wilcoxson, Beth C. Truesdale, and Scott Powell. 2023. "Predictive Analytics Supporting Labor Market Success: A Career Explorer for Job Seekers and Workforce Professionals in Michigan." Upjohn Institute Working Paper 23-391. Kalamazoo, MI: W.E. Upjohn Institute for Employment Research. https://doi.org/10.17848/wp23-391