This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $300,000 to Carnegie Mellon University (CMU) to develop and improve methods for evaluating the potential readiness of regional workforces to meet the skill demand created by large-scale industry transitions. The project will leverage an approach to estimating the similarity of requirements between different occupations and other indicators of the feasibility of worker transitions to specify models that quantify the number of workers who may satisfy a minimum level of readiness for demand in any given occupation. The outputs will include an empirically validated user-tool to estimate potential workforce supply and mobility to meet demand for any occupation, as well as the publication of the underlying analytical models. The project will apply this capability to support regional case analyses of workforce readiness for capacity-building in microelectronics in Florida and energy storage in New York.
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