Maximizing Diversity in the Engineering Global Leadership Cultural Families

Kayse Lee Maass (), Vera Mann Hey Lo (), Anna Weiss () and Mark S. Daskin ()
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Kayse Lee Maass: University of Michigan, Ann Arbor, Michigan 48109
Vera Mann Hey Lo: University of Michigan, Ann Arbor, Michigan 48109
Anna Weiss: The Bar Bakery, Sacramento, California 95811
Mark S. Daskin: University of Michigan, Ann Arbor, Michigan 48109

Interfaces, 2015, vol. 45, issue 4, 293-304

Abstract: We present a new formulation for assigning students to groups to maximize the diversity within each group. We compare its solution to that of the well-known linearized maximally diverse grouping problem. The new formulation minimizes similar student attributes within a group by penalizing the deviations from the target number of students with each attribute within each group. We apply the model to the task of assigning University of Michigan Engineering Global Leadership (EGL) Honors Program students to cultural families. The EGL program implemented the results of the model with minimal changes.

Keywords: diverse teams; diversity; group formation; maximally diverse grouping problem (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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