Workforce Development Policy Lab

The Workforce Development Policy Lab partners with local and national organizations to use big data and rigorous analysis to assess workforce development and career-oriented higher education programs.

About the Workforce Development Policy Lab

The Workforce Development Policy Lab is the first step in the Watson School’s growing state and local policy engagement work. In collaboration with local and national organizations, the Lab will assess workforce development and career-oriented higher education programs to determine which programs work to raise long-term career and earnings trajectories.

Every year, millions of Americans seeking better, higher-paying jobs turn to workforce development and career-oriented higher education programs. Governments, businesses and philanthropic organizations also invest heavily in these programs to develop the skilled workforce they need. Yet there is limited consistent evidence on which programs truly deliver higher-paying careers for participants, making it difficult to scale up the programs that work and reform the programs that do not.

Working with research partner Opportunity Insights, the Lab will use big data and rigorous statistical analysis to look beyond program completion and initial job placement and understand the long-term impact of these programs. Its work will help workers identify promising pathways, help program leaders strengthen their offerings and help policymakers and funders invest in programs that deliver lasting results.

Featured Partners

We aim to partner with external organizations to jointly expand our knowledge about what programs are effective.

How Partnerships Work

Partnerships with the Workforce Development Lab are built around three core elements:

Partners provide Watson and Opportunity Insights with data on programs and their participants, which is then merged into federal administrative records within secure government servers. This data-sharing is governed by a Data Use Agreement to ensure the data are handled securely and in accordance with partner expectations.  Our approach works best when partners can share data on a broad sample of participants (not only those in a particular program) and going back as far as possible historically, to obtain the largest sample sizes.

Shared data are then linked (through Social Security Numbers or other identifying information) to a Protected Identification Key (PIK), used to handle data in the secure environment in a deidentified way, and then (through the PIK) matched to earnings records and other data within the secure federal data enclave at the US Census Bureau. We then apply our matching approach to estimate program returns.

All results must go through disclosure review, to ensure that no confidential information is included. Once approved, we share these results back with partners in a non-public technical memo — this allows for early iteration and interpretation with data contributors and in some instances, leads to subsequent analyses. Eventually the results will be incorporated into publicly available research papers and policy reports.

Affiliated Faculty

News and Research

The Watson School has launched a new initiative, in collaboration with local and national organizations, to assess workforce development and career-oriented higher education programs. The initiative is the first of its kind to utilize big data and rigorous statistical analysis to evaluate the effectiveness of these programs.
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This article on RAISE US, a new non-profit focused on the AI transition, mentions its partnership with the Watson School's Workforce Development Policy Lab and that Watson Dean John N. Friedman serves on its advisory board.
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