{"id":"https://openalex.org/W4285606228","doi":"https://doi.org/10.24963/ijcai.2022/40","title":"Contests to Incentivize a Target Group","display_name":"Contests to Incentivize a Target Group","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285606228","doi":"https://doi.org/10.24963/ijcai.2022/40"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/40","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/40","pdf_url":"https://www.ijcai.org/proceedings/2022/0040.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0040.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050150656","display_name":"Edith Elkind","orcid":"https://orcid.org/0000-0001-6718-3436"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Edith Elkind","raw_affiliation_strings":["University of Oxford","Department of Computer Science, University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Computer Science, University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025436044","display_name":"Abheek Ghosh","orcid":"https://orcid.org/0000-0002-4771-4612"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abheek Ghosh","raw_affiliation_strings":["University of Oxford","Department of Computer Science, University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Computer Science, University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067662147","display_name":"Paul W. Goldberg","orcid":"https://orcid.org/0000-0002-5436-7890"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul W. Goldberg","raw_affiliation_strings":["University of Oxford","Department of Computer Science, University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Computer Science, University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1956,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55315315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"279","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T11182","display_name":"Auction Theory and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contest","display_name":"CONTEST","score":0.937008261680603},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.6760393381118774},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6719571948051453},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6652699708938599},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5966298580169678},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.5797196626663208},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.5424891114234924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49662095308303833},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.4822302758693695},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.34792083501815796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23435527086257935},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.23082241415977478},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10318094491958618}],"concepts":[{"id":"https://openalex.org/C2777582232","wikidata":"https://www.wikidata.org/wiki/Q5013414","display_name":"CONTEST","level":2,"score":0.937008261680603},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.6760393381118774},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6719571948051453},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6652699708938599},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5966298580169678},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.5797196626663208},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.5424891114234924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49662095308303833},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.4822302758693695},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.34792083501815796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23435527086257935},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.23082241415977478},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10318094491958618},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/40","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/40","pdf_url":"https://www.ijcai.org/proceedings/2022/0040.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/40","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/40","pdf_url":"https://www.ijcai.org/proceedings/2022/0040.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320336183","display_name":"Clarendon Fund","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285606228.pdf","grobid_xml":"https://content.openalex.org/works/W4285606228.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W92457917","https://openalex.org/W170486074","https://openalex.org/W2001380691","https://openalex.org/W2060965809","https://openalex.org/W2083174134","https://openalex.org/W2312234815","https://openalex.org/W2608886124","https://openalex.org/W3005518233","https://openalex.org/W3049570326","https://openalex.org/W3095011409","https://openalex.org/W3107672918","https://openalex.org/W3122962767","https://openalex.org/W3197446289","https://openalex.org/W4231160059"],"related_works":["https://openalex.org/W2803931294","https://openalex.org/W2282604764","https://openalex.org/W2569414037","https://openalex.org/W2500870930","https://openalex.org/W2218535193","https://openalex.org/W4389370903","https://openalex.org/W2468739564","https://openalex.org/W1554758635","https://openalex.org/W4302558842","https://openalex.org/W2171981925"],"abstract_inverted_index":{"We":[0,27,62],"study":[1,116],"how":[2],"to":[3,10,48,60,68,89],"incentivize":[4],"agents":[5,50,130],"in":[6,21,51,108,131],"a":[7,12,29],"target":[8,53,133],"subpopulation":[9],"produce":[11],"higher":[13],"output":[14,127],"by":[15,128],"means":[16],"of":[17,24,39,119],"rank-order":[18],"allocation":[19],"contests,":[20],"the":[22,49,52,80,98,117,120,124,129,132],"context":[23],"incomplete":[25],"information.":[26],"describe":[28],"symmetric":[30],"Bayes--Nash":[31],"equilibrium":[32,66],"for":[33,97,106],"contests":[34,73,92],"that":[35,44,57,74,86,93,122],"have":[36,84,94],"two":[37,69],"types":[38],"rank-based":[40],"prizes:":[41],"(1)":[42],"prizes":[43,56,85,107],"are":[45,58,87],"accessible":[46,59,88],"only":[47,83,105],"group;":[54],"(2)":[55],"everyone.":[61],"also":[63,115],"specialize":[64],"this":[65],"characterization":[67],"important":[70],"sub-cases:":[71],"(i)":[72],"do":[75],"not":[76],"discriminate":[77],"while":[78],"awarding":[79],"prizes,":[81],"i.e.,":[82],"everyone;":[90],"(ii)":[91],"prize":[95],"quotas":[96],"groups,":[99],"and":[100],"each":[101],"group":[102],"can":[103],"compete":[104],"their":[109],"share.":[110],"For":[111],"these":[112],"models,":[113],"we":[114],"properties":[118],"contest":[121],"maximizes":[123],"expected":[125],"total":[126],"group.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}