Our paper, which studies remediation strategies for errors that are discovered post-match in school matching systems was accepted at EAAMO’26
Our paper on using bonus points to make ranking results more diverse and fair: “Explainable disparity compensation for efficient fair ranking,” was accepted at ICDE’24
To improve transparency in the reporting of RCV election results, Alborz Jelvani, a Rutgers CS graduate student, and I presented an algorithm to process partial
My paper: “Algorithmic Transparency and Accountability through Crowdsourcing: A Study of the NYC School Admission Lottery” was accepted at FAccT’23
NYC MS and HS admissions use student choice data, school rankings, and lottery numbers to assign students to schools using a matching algorithm. Parents are
Our paper: “One of Us: a Multiplayer Web-based Game for Digital Evidence Acquisition of Scripts through Crowdsourcing,” by Varvara Kalokyri, Alexander Borgida, and Amélie Marian
Our paper: “Identifying Possible Winners in Ranked Choice Voting Elections with Outstanding Ballots,” by Alborz Jelvani and Amélie Marian was accepted at HCOMP’22
Our paper: “Fairness-aware federated matrix factorization,” by Schuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, and Amélie Marian was accepted at RecSys’22
NYC MS and HS admissions use student choice data, school rankings, and lottery numbers to assign students to schools using a matching algorithm. Parents are
NYC MS and HS admissions use student choice data, school rankings, and lottery numbers to assign students to schools using a matching algorithm. Parents are
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