{"id":"https://openalex.org/W3004888024","doi":"https://doi.org/10.1145/3375627.3375802","title":"Trade-offs in Fair Redistricting","display_name":"Trade-offs in Fair Redistricting","publication_year":2020,"publication_date":"2020-02-05","ids":{"openalex":"https://openalex.org/W3004888024","doi":"https://doi.org/10.1145/3375627.3375802","mag":"3004888024"},"language":"en","primary_location":{"id":"doi:10.1145/3375627.3375802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375627.3375802","pdf_url":null,"source":{"id":"https://openalex.org/S5407048695","display_name":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","issn_l":"3065-8365","issn":["3065-8365"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085368888","display_name":"Zachary Schutzman","orcid":"https://orcid.org/0000-0002-3448-5654"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zachary Schutzman","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085368888"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":1.8631,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.9114895,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":null,"first_page":"159","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10108","display_name":"Electoral Systems and Political Participation","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10802","display_name":"Judicial and Constitutional Studies","score":0.921999990940094,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/redistricting","display_name":"Redistricting","score":0.9278069734573364},{"id":"https://openalex.org/keywords/census","display_name":"Census","score":0.6545191407203674},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5814400315284729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.540373682975769},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5055837631225586},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.44982191920280457},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4237062633037567},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.41721075773239136},{"id":"https://openalex.org/keywords/fair-share","display_name":"Fair share","score":0.41717687249183655},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.38360095024108887},{"id":"https://openalex.org/keywords/law-and-economics","display_name":"Law and economics","score":0.31361478567123413},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.2886907160282135},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.28545111417770386},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.28036385774612427},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.2366330623626709},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.22574564814567566},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20368912816047668},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18003514409065247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15386179089546204},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.10543859004974365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10221776366233826}],"concepts":[{"id":"https://openalex.org/C2778477362","wikidata":"https://www.wikidata.org/wiki/Q7305983","display_name":"Redistricting","level":3,"score":0.9278069734573364},{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.6545191407203674},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5814400315284729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.540373682975769},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5055837631225586},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.44982191920280457},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4237062633037567},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.41721075773239136},{"id":"https://openalex.org/C2992947560","wikidata":"https://www.wikidata.org/wiki/Q5167661","display_name":"Fair share","level":2,"score":0.41717687249183655},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.38360095024108887},{"id":"https://openalex.org/C190253527","wikidata":"https://www.wikidata.org/wiki/Q295354","display_name":"Law and economics","level":1,"score":0.31361478567123413},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.2886907160282135},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.28545111417770386},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.28036385774612427},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.2366330623626709},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.22574564814567566},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20368912816047668},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18003514409065247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15386179089546204},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.10543859004974365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10221776366233826},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3375627.3375802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375627.3375802","pdf_url":null,"source":{"id":"https://openalex.org/S5407048695","display_name":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","issn_l":"3065-8365","issn":["3065-8365"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1501847697","https://openalex.org/W1770140033","https://openalex.org/W1977334365","https://openalex.org/W1987662665","https://openalex.org/W1989256614","https://openalex.org/W2024733044","https://openalex.org/W2064786476","https://openalex.org/W2082685003","https://openalex.org/W2096652633","https://openalex.org/W2264153165","https://openalex.org/W2273093940","https://openalex.org/W2460851923","https://openalex.org/W2605407789","https://openalex.org/W2900473924","https://openalex.org/W2962701967","https://openalex.org/W2982061150","https://openalex.org/W2998349703","https://openalex.org/W3111543767"],"related_works":["https://openalex.org/W1558805538","https://openalex.org/W2945437991","https://openalex.org/W2272447748","https://openalex.org/W2167352448","https://openalex.org/W4312082019","https://openalex.org/W2327205338","https://openalex.org/W4386522504","https://openalex.org/W1601097844","https://openalex.org/W3123522075","https://openalex.org/W4252302707"],"abstract_inverted_index":{"What":[0],"constitutes":[1],"a":[2,8,37,72,88,128],"'fair'":[3],"electoral":[4,83],"districting":[5,92],"plan":[6],"is":[7,35],"discussion":[9],"dating":[10],"back":[11],"to":[12,50,78],"the":[13,16,30,45,69,119,131],"founding":[14],"of":[15,22,44,63,91,109,121,123],"United":[17],"States":[18],"and,":[19],"in":[20,54,65,130],"light":[21,43],"several":[23],"recent":[24],"court":[25],"cases,":[26],"mathematical":[27],"developments,":[28],"and":[29,48,97,99,104],"approaching":[31],"2020":[32],"U.S.":[33],"Census,":[34],"still":[36],"fiercely":[38],"debated":[39],"topic":[40],"today.":[41],"In":[42],"growing":[46],"desire":[47],"ability":[49],"use":[51],"algorithmic":[52],"tools":[53],"drawing":[55,68,76],"these":[56,110,124],"districts,":[57],"we":[58],"discuss":[59],"two":[60],"prototypical":[61],"formulations":[62],"fairness":[64],"this":[66],"domain:":[67],"districts":[70],"by":[71],"neutral":[73],"procedure":[74],"or":[75],"them":[77],"intentionally":[79],"induce":[80],"an":[81],"equitable":[82],"outcome.":[84],"We":[85],"then":[86],"generate":[87],"large":[89],"sample":[90],"plans":[93],"for":[94],"North":[95],"Carolina":[96],"Pennsylvania":[98],"consider":[100],"empirically":[101],"how":[102],"compactness":[103],"partisan":[105],"symmetry,":[106],"as":[107],"instantiations":[108],"frameworks,":[111],"trade":[112],"off":[113],"with":[114],"each":[115],"other":[116],"--":[117],"prioritizing":[118],"value":[120],"one":[122],"necessarily":[125],"comes":[126],"at":[127],"cost":[129],"other.":[132]},"counts_by_year":[{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}