Transgender Discrimination Survey
Timeline
2016
Description
Maddie Katz (Global Health and Evolutionary Anthropology Major), Parker Foe (Math/Spanish, Smith College), and Tony Li (Math, Cornell) spent ten weeks analyzing data from the National Transgender Discrimination Survey. Their goal was to understand how the discrimination faced by the trans community is realized on a state, regional, and national level, and to partner with advocacy organizations around their analysis.
Project Results
The team used Tableau to create interactive visualizations of discrimination in housing, employment, and public accomodation, and partnered with ACLU NC to transform these into resources that can be used in healthcare trainings, policy discussions, and local advocacy trainings for the trans community. They also performed statistical analyses to locate significant differences in trans experience between the southern region and the rest of the country.
Download the Executive Summary (PDF)
Faculty Sponsor
- Ara Wilson, Associate Professor, Women's Studies
Project Manager
- Cole Rizki, Ph.D. Candidate, Literature
Undergraduate Students
- Parker Foe Smith College, Mathematics and Spanish
- Tony Li Cornell University, Mathematics
- Madelaine Katz Duke University, Global Health and Evolutionary Anthropology
Disciplines Involved
- Gender Studies
- Public Health
- Public Policy
In the News
Gender Identity Data Put Summer Students on the Front Line (Duke Today)
"Through Data+, I've had unparalleled opportunities for transdisciplinary collaboration. The program allowed me to engage in a research project that relates to my doctoral research and combines empirical skills with critical theory. It's also been invaluable to work as a graduate student mentor for the summer: in doctoral programs, it's unusual to have the chance to work so intimately with a small group of students every day for ten weeks. This experience has helped me develop advising skills that will be useful to me as I move forward as an educator." — Cole Rizki, PhD Candidate, Program in Literature
Data+