{"id":"https://openalex.org/W2900411238","doi":"https://doi.org/10.1609/aaai.v33i01.33011077","title":"Scalable Robust Kidney Exchange","display_name":"Scalable Robust Kidney Exchange","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2900411238","doi":"https://doi.org/10.1609/aaai.v33i01.33011077","mag":"2900411238"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33011077","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011077","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3899/3777","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3899/3777","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036148540","display_name":"Duncan C. McElfresh","orcid":"https://orcid.org/0000-0002-9176-5441"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Duncan C McElfresh","raw_affiliation_strings":["University of Maryland","Univ. of Maryland,#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Univ. of Maryland,#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037305170","display_name":"Hoda Bidkhori","orcid":"https://orcid.org/0000-0003-3895-5104"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hoda Bidkhori","raw_affiliation_strings":["University of Pittsburgh","Univ. of Pittsburgh"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Univ. of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071538560","display_name":"John P. Dickerson","orcid":"https://orcid.org/0000-0003-2231-680X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John P Dickerson","raw_affiliation_strings":["University of Maryland","Univ. of Maryland,#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Univ. of Maryland,#TAB#","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036148540"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"1077","last_page":"1084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11163","display_name":"Organ Donation and Transplantation","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11163","display_name":"Organ Donation and Transplantation","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/barter","display_name":"Barter","score":0.8711280822753906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7238589525222778},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7115718126296997},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6892321109771729},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43943536281585693},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.17680492997169495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11713668704032898},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09393486380577087}],"concepts":[{"id":"https://openalex.org/C207556602","wikidata":"https://www.wikidata.org/wiki/Q484830","display_name":"Barter","level":2,"score":0.8711280822753906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7238589525222778},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7115718126296997},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6892321109771729},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43943536281585693},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.17680492997169495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11713668704032898},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09393486380577087},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v33i01.33011077","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011077","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3899/3777","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1811.03532","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.03532","pdf_url":"https://arxiv.org/pdf/1811.03532","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2900411238","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1811.03532.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1811.03532","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1811.03532","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33011077","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011077","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3899/3777","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2900411238.pdf","grobid_xml":"https://content.openalex.org/works/W2900411238.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1504946885","https://openalex.org/W1506936706","https://openalex.org/W1548308776","https://openalex.org/W1775553015","https://openalex.org/W1933599012","https://openalex.org/W1978573225","https://openalex.org/W1986056047","https://openalex.org/W1997271069","https://openalex.org/W2013518095","https://openalex.org/W2026655915","https://openalex.org/W2041342031","https://openalex.org/W2080122183","https://openalex.org/W2086698286","https://openalex.org/W2101712634","https://openalex.org/W2101732436","https://openalex.org/W2109499241","https://openalex.org/W2110546349","https://openalex.org/W2111490728","https://openalex.org/W2129441570","https://openalex.org/W2136503687","https://openalex.org/W2170246608","https://openalex.org/W2298546028","https://openalex.org/W2413930874","https://openalex.org/W2567090038","https://openalex.org/W2591816153","https://openalex.org/W2729365008","https://openalex.org/W2758041078","https://openalex.org/W2764353567","https://openalex.org/W2787880388","https://openalex.org/W2950844074","https://openalex.org/W2951221187","https://openalex.org/W6629508057","https://openalex.org/W6630372427","https://openalex.org/W6637958237","https://openalex.org/W6646971372","https://openalex.org/W6653863461","https://openalex.org/W6668769520","https://openalex.org/W6676467584","https://openalex.org/W6677103149","https://openalex.org/W6677505510","https://openalex.org/W6679177826","https://openalex.org/W6682729792","https://openalex.org/W6719708545","https://openalex.org/W6740200382","https://openalex.org/W6834233564","https://openalex.org/W6999152074"],"related_works":["https://openalex.org/W2963217473","https://openalex.org/W1997271069","https://openalex.org/W2413930874","https://openalex.org/W1989172286","https://openalex.org/W1823461189","https://openalex.org/W3148289342","https://openalex.org/W2803667184","https://openalex.org/W3184774798","https://openalex.org/W2953232954","https://openalex.org/W3206977484","https://openalex.org/W3037957540","https://openalex.org/W3197632327","https://openalex.org/W2952491590","https://openalex.org/W3109663121","https://openalex.org/W2966521687","https://openalex.org/W330457224","https://openalex.org/W1500395156","https://openalex.org/W2108957189","https://openalex.org/W2265315858","https://openalex.org/W2885049353"],"abstract_inverted_index":{"In":[0],"barter":[1,18,60],"exchanges,":[2],"participants":[3,30],"directly":[4,96],"trade":[5],"their":[6],"endowed":[7],"goods":[8],"in":[9,17,32,55,81,100,125,148,183,198],"a":[10,24,58,90,98,120,132,157,178],"constrained":[11],"economic":[12],"setting":[13],"without":[14],"money.":[15],"Transactions":[16],"exchanges":[19],"are":[20],"often":[21],"facilitated":[22],"via":[23],"central":[25],"clearinghouse":[26],"that":[27,138],"must":[28],"match":[29],"even":[31],"the":[33,84,87,105,117,140,170,184,199],"face":[34],"of":[35,41,79,89,116,119,166,172,196],"uncertainty\u2014over":[36],"participants,":[37],"existence":[38,88],"and":[39,44,86,154,194],"quality":[40,85],"potential":[42,91],"trades,":[43],"so":[45],"on.":[46],"Leveraging":[47],"robust":[48,72,161],"combinatorial":[49],"optimization":[50],"techniques,":[51],"we":[52,168],"address":[53],"uncertainty":[54,80,167],"kidney":[56,82,106,135,181,200],"exchange,":[57],"real-world":[59],"market":[61],"where":[62],"patients":[63],"swap":[64],"(in)compatible":[65],"paired":[66],"donors.":[67],"We":[68,129,187],"provide":[69],"two":[70,76],"scalable":[71,134],"methods":[73,103],"to":[74,104],"handle":[75],"distinct":[77],"types":[78],"exchange\u2014over":[83],"match.":[92],"The":[93],"latter":[94],"case":[95],"addresses":[97],"weakness":[99],"all":[101,111],"stochastic-optimization-based":[102],"exchange":[107,136,182,201],"clearing":[108],"problem,":[109],"which":[110],"necessarily":[112],"require":[113],"explicit":[114],"estimates":[115],"probability":[118],"transaction":[121],"existing\u2014a":[122],"still-unsolved":[123],"problem":[124],"this":[126],"nascent":[127],"market.":[128],"also":[130],"propose":[131],"novel,":[133],"formulation":[137],"eliminates":[139],"need":[141],"for":[142,159],"an":[143],"exponential-time":[144],"constraint":[145],"generation":[146],"process":[147],"competing":[149],"formulations,":[150],"maintains":[151],"provable":[152],"optimality,":[153],"serves":[155],"as":[156],"subsolver":[158],"our":[160],"approach.":[162],"For":[163],"each":[164],"type":[165],"demonstrate":[169],"benefits":[171],"robustness":[173,193],"on":[174],"real":[175],"data":[176],"from":[177],"large,":[179],"fielded":[180],"United":[185],"States.":[186],"conclude":[188],"by":[189],"drawing":[190],"parallels":[191],"between":[192],"notions":[195],"fairness":[197],"setting.":[202]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}