@conference {1523368,
	title = {Fairness in Kidney Exchange Programs through Optimal Solutions Enumeration},
	booktitle = {AI for Social Good Workshop},
	year = {2020},
	abstract = {
	Not all patients who need kidney transplant can find a donor with compatible characteristics. Kidney exchange programs (KEPs) seek to match such incompatible patient-donor pairs together, usually with the objective of maximizing the total number of transplants. We propose a randomized policy for selecting an optimal solution in which patients{\textquoteright} equity of opportunity to receive a transplant is promoted. Our approach gives rise to the problem of enumerating all optimal solutions, which we tackle using a hybrid of constraint programming and linear programming. We empirically demonstrate the advantages of our proposed method over the common practice of using the first optimal solution obtained by a solver.



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},
	author = {Golnoosh Farnadi and Behrouz Babaki and Margarida Carvalho}
}
