Using data science to return people to the labor force

Despite persistent unemployment in the United States, millions of jobs are hard to fill due to a lack of qualified applicants. While community college and training organizations seek to equip people with the skills required for these openings, it’s a moving target as the American economy rapidly changes. The newly launched National Center for Opportunity Engineering & Analysis at the Computation Institute—a joint initiative of the University of Chicago and Argonne National Laboratory—will use the latest computation and data science tools to help close the skills gap, reduce economic inequality and provide new ways to search for training connected to employment and career opportunities. “Societal challenges of this scale require us to combine data science with knowledge of how labor markets work. This is very much the kind of problem…


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