TY - T1 - Affirmative Action Policies for Top-k Candidates Selection, With an Application to the Design of Policies for University Admissions SN - / UR - http://hdl.handle.net/10138/318756 T3 - A1 - Mathioudakis, Michael; Castillo, Carlos; Barnabo, Giorgio; Celis, Sergio A2 - PB - ACM Y1 - 2020 LA - eng AB - We consider the problem of designing affirmative action policies for selecting the top-k candidates from a pool of applicants. We assume that for each candidate we have socio-demographic attributes and a series of variables that serve as indicators of future performance (e.g., results on standardized tests). We further assume that we have access to historical data including the actual performance of previously selected candidates. Critically, performance information is only available for candida... VO - IS - SP - OP - KW - 113 Computer and information sciences N1 - PP - ER -