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Amidst continued calls for the democratization of access to higher education for historically underrepresented populations alongside the first global health crisis in a century lies the opportunity to address persistent societal needs: increasing access for underrepresented minority students to educational pathways that lead to careers in lucrative fields of science, technology, engineering and math (STEM).

Student participants enrolled in the biotechnology pathway Associates, Bachelors and Masters programs share programmatic experience in an accelerated biotechnology program through a bi-annual survey grounded in the central tenets of social-cognitive career theory aimed at understanding requisite academic, social and financial support for student success.

The pathway program described in this paper emerged to address the need to support underrepresented students in degree attainment and taking on roles in the growing field of biotechnology through a novel, multi-degree, multi-institutional pathway to STEM degree attainment and career success.

This work has advanced understanding about how to effectively align higher education institutions with each other and with evolving STEM labor market demands while documenting the impact of essential academic, career and social supports recognized in the literature as high impact practices in broadening participation and increasing retention of underrepresented minority students in lucrative STEM careers.

Pathway programs which best support student success include robust mentoring, experiential learning and robust student scholarship support, part of the design of this unique pathway program. The authors share how this program utilizes high impact practices to provide low-income, underrepresented minority students with supportive, accelerated biotechnology degrees in preparation for success in the job market. What's more, of all our BS-level graduates thus far, 100% are employed and 93% within the biotechnology field. For many, the opportunity to raise their family out of poverty via a stable, high paying job is directly tied to their successes within this program.

The purpose of this paper is to investigate US noncombatant evacuation operations (NEO) in South Korea and devise planning and management procedures that improve the efficiency of those missions.

It formulates a time-staged network model of the South Korean noncombatant evacuation system as a mixed integer linear program to determine an optimal flow configuration that minimizes the time required to complete an evacuation. This solution considers the capacity and resource constraints of multiple transportation modes and effectively allocates the limited assets across a time-staged network to create a feasible evacuation plan. That solution is post-processed and a vehicle routing procedure then produces a high resolution schedule for each individual asset throughout the entire duration of the NEO.

This work makes a clear improvement in the decision-making and resource allocation methodology currently used in a NEO on the Korea peninsula. It immediately provides previously unidentifiable information regarding the scope and requirements of a particular evacuation scenario and then produces an executable schedule for assets to facilitate mission accomplishment.

The significance of this work is not relegated only to evacuation operations on the Korean peninsula; there are numerous other NEO and natural disaster related scenarios that can benefit from this approach.