Mathematical metrics and computational techniques to detect partisan gerrymandering

Authors

Ellen Veomett, Saint Mary's College of California

SMC Author

Ellen Veomett

SMC Affiliated Work

1

Status

Faculty

School

School of Science

Department

Math/Computer Science

Document Type

Presentation

Publication Date

3-25-2022

Publication / Conference / Sponsorship

Faculty Workshop, Intermountain MAA Section meeting, Utah Valley University

Disciplines

Computer Sciences | Mathematics

Original Citation

Veomett, E. (2022, March 25-26). Mathematical metrics and computational techniques to detect partisan gerrymandering. Faculty Workshop, Intermountain MAA Section meeting, Utah Valley University, Orem, UT, United States. [Presentation at conference of peers]

Repository Citation

Veomett, Ellen. Mathematical metrics and computational techniques to detect partisan gerrymandering (2022). Faculty Workshop, Intermountain MAA Section meeting, Utah Valley University. [presentation]. https://digitalcommons.stmarys-ca.edu/school-science-faculty-works/1240