School of Computing and Information Sciences
Stephanie Lunn is a Ph.D. candidate in the School of Computing and Information Sciences (SCIS) at Florida International University (FIU), under the supervision of Dr. Monique Ross. Her research interests span the fields of computing education, data science, and machine learning. Previously, Stephanie received her B.S. and M.S. degrees in Neuroscience from the University of Miami, in addition to a B.S. degree in Computer Science from FIU. She was also a SCIS Presidential/Director’s Fellow from 2017-2020.
The hiring process in computing is distinct from other fields, with unspoken expectations of digital portfolios and coding challenges designed to test candidates’ technical prowess on the spot. Accordingly, upon completion of the rigorous requirements set to obtain a computing degree, many new graduates struggle to gain employment. Meanwhile, the computing industry has issues, not only in terms of finding and maintaining enough workers to meet demand, but also in terms of ensuring equal representation and opportunities for all races, ethnicities, and genders.
The purpose of this thesis is to evaluate hiring in computing and to explore the interaction between students’ social identities and their experiences with technical interviews. The proposed work will include a mixed methods approach of quantitative and qualitative techniques, to answer: 1) What does the hiring process in computing look like from both the applicant and industry perspective?; 2) What does the computing industry expect from job applicants?; 3) What are the impacts of academic, programmatic, and cultural experiences on identity?; and 4) What are students’ experiences with technical interviews? Analysis of the results from this research will be used to inform, and to offer suggestions and guidelines that will enable a hiring process that can still achieve its target of finding qualified applicants, but that does so in a manner more inclusive to all applicants.