Event Details

Professor Güneş Erdoğan of University of Bath will present a seminar to the Management Science Department

Abstract: Hiring is a fundamental, frequent activity for all organizations. Hiring decisions have been reported to be subject to conscious and unconscious biases in the literature. The field of Computational Ethics aims to quantify and maximize the ethicality of decisions. This paper attempts to apply Computational Ethics to the shortlisting process in hiring through the use of Linear Programming. Given a set of applicants for a job with numerical qualification values, the author aims to determine weights for each qualification type to compute scores and resulting rankings for each applicant. To this end, Abstract Moral Theories of Utilitarianism, Maximin/Leximin, Egalitarianism, and Prioritarianism are utilized and applied to a set of randomly generated applicant data. Computational experiments demonstrate that the models are scalable and return interpretable results. The necessity of a quota-based shortlisting system to alleviate disadvantaged candidates is highlighted. The author recommends the use of the Maximin model and iteratively eliminating the applicant with the lowest score.

Bio: Güneş Erdoğan is a Professor of Operations Research at the University of Bath, School of Management. His research is focused on the applications of combinatorial optimization in logistics and healthcare. After receiving his PhD in Industrial Engineering from Bilkent University (2007), Güneş has held permanent faculty positions at Ozyegin University, Istanbul (as founding faculty), University of Southampton, and University of Bath. In 2010, he received the Kuhn Award from the journal Naval Research Logistics for a paper he co-authored, entitled “Ambulance Location for Maximum Survival”. He has been an Area Editor for the journal Computers & Operations Research since 2019. He is a member of the Bath Centre for Healthcare Innovation & Improvement (Chi2, www.bath.ac.uk/chi2) and the EURO Working Group on Vehicle Routing and Logistics Optimization.