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We launched the taxicab queuing model as a metaphor for the STEM labor market. Depending on the STEM job phase, we are able to either have a queue of positions ready to be crammed (cf. taxis) or a queue of STEM staff waiting for jobs (cf. passengers). The traits of the queue rely upon different factors: the rate of job turnover (cf. taxi service fee); the STEM employee arrival charge (cf. passenger arrival rate); the variety of positions available (cf. the number of taxis in the fleet); the situation of the job; the degree held by the worker (cf. type of taxi); and the employee’s citizenship standing. The mannequin also highlights the probabilistic nature of the supply-and-demand market: random fluctuations may cause job segments that traditionally have a shortage of workers to have a surplus, and vice versa. Although we presently lack the information to operationalize the model, it presents a novel method to characterizing the variation across STEM job segments.

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