{"id":"https://openalex.org/W4285606381","doi":"https://doi.org/10.24963/ijcai.2022/726","title":"A norm optimisation approach to SDGs: tackling poverty by acting on discrimination","display_name":"A norm optimisation approach to SDGs: tackling poverty by acting on discrimination","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285606381","doi":"https://doi.org/10.24963/ijcai.2022/726"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/726","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/726","pdf_url":"https://www.ijcai.org/proceedings/2022/0726.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","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0726.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034208573","display_name":"Georgina Curto","orcid":"https://orcid.org/0000-0002-8232-3131"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]},{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]},{"id":"https://openalex.org/I5593406","display_name":"Universitat Ramon Llull","ror":"https://ror.org/04p9k2z50","country_code":"ES","type":"education","lineage":["https://openalex.org/I5593406"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Georgina Curto","raw_affiliation_strings":["EINA, Autonomous University of Barcelona, Spain","IQS School of Management, Ramon Llull University, Barcelona, Spain","University of Notre Dame, Notre Dame, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EINA, Autonomous University of Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]},{"raw_affiliation_string":"IQS School of Management, Ramon Llull University, Barcelona, Spain","institution_ids":["https://openalex.org/I5593406"]},{"raw_affiliation_string":"University of Notre Dame, Notre Dame, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088398288","display_name":"Nieves Montes","orcid":"https://orcid.org/0000-0001-6981-7893"},"institutions":[{"id":"https://openalex.org/I4210131846","display_name":"Artificial Intelligence Research Institute","ror":"https://ror.org/03c0ach84","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nieves Montes","raw_affiliation_strings":["Artificial Intelligence Research Institute, IIIA-CSIC, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Institute, IIIA-CSIC, Barcelona, Spain","institution_ids":["https://openalex.org/I4210131846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076261469","display_name":"Carles Sierra","orcid":"https://orcid.org/0000-0003-0839-6233"},"institutions":[{"id":"https://openalex.org/I4210131846","display_name":"Artificial Intelligence Research Institute","ror":"https://ror.org/03c0ach84","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carles Sierra","raw_affiliation_strings":["Artificial Intelligence Research Institute, IIIA-CSIC, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Institute, IIIA-CSIC, Barcelona, Spain","institution_ids":["https://openalex.org/I4210131846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030063242","display_name":"Nardine Osman","orcid":"https://orcid.org/0000-0002-2766-3475"},"institutions":[{"id":"https://openalex.org/I4210131846","display_name":"Artificial Intelligence Research Institute","ror":"https://ror.org/03c0ach84","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nardine Osman","raw_affiliation_strings":["Artificial Intelligence Research Institute, IIIA-CSIC, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Institute, IIIA-CSIC, Barcelona, Spain","institution_ids":["https://openalex.org/I4210131846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059834569","display_name":"Fl\u00e1vio Comim","orcid":"https://orcid.org/0000-0003-0941-734X"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I5593406","display_name":"Universitat Ramon Llull","ror":"https://ror.org/04p9k2z50","country_code":"ES","type":"education","lineage":["https://openalex.org/I5593406"]}],"countries":["ES","GB"],"is_corresponding":false,"raw_author_name":"Flavio Comim","raw_affiliation_strings":["IQS School of Management, Ramon Llull University, Barcelona, Spain","Land Economy and VHI, University of Cambridge, England"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IQS School of Management, Ramon Llull University, Barcelona, Spain","institution_ids":["https://openalex.org/I5593406"]},{"raw_affiliation_string":"Land Economy and VHI, University of Cambridge, England","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2917,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56860593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5228","last_page":"5235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10446","display_name":"Income, Poverty, and Inequality","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10446","display_name":"Income, Poverty, and Inequality","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11257","display_name":"Taxation and Compliance Studies","score":0.9477999806404114,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/meritocracy","display_name":"Meritocracy","score":0.7874891757965088},{"id":"https://openalex.org/keywords/poverty","display_name":"Poverty","score":0.7259371280670166},{"id":"https://openalex.org/keywords/solidarity","display_name":"Solidarity","score":0.5445036292076111},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5210463404655457},{"id":"https://openalex.org/keywords/inequality","display_name":"Inequality","score":0.4678889811038971},{"id":"https://openalex.org/keywords/poor-people","display_name":"Poor people","score":0.4678664207458496},{"id":"https://openalex.org/keywords/poverty-reduction","display_name":"Poverty reduction","score":0.4544421434402466},{"id":"https://openalex.org/keywords/development-economics","display_name":"Development economics","score":0.4352785646915436},{"id":"https://openalex.org/keywords/culture-of-poverty","display_name":"Culture of poverty","score":0.4305903911590576},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.3749493956565857},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.357807457447052},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.354362815618515},{"id":"https://openalex.org/keywords/public-economics","display_name":"Public economics","score":0.3263928294181824},{"id":"https://openalex.org/keywords/basic-needs","display_name":"Basic needs","score":0.30959439277648926},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.15009379386901855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11380279064178467}],"concepts":[{"id":"https://openalex.org/C38377331","wikidata":"https://www.wikidata.org/wiki/Q178079","display_name":"Meritocracy","level":2,"score":0.7874891757965088},{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.7259371280670166},{"id":"https://openalex.org/C2780641677","wikidata":"https://www.wikidata.org/wiki/Q815726","display_name":"Solidarity","level":3,"score":0.5445036292076111},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5210463404655457},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.4678889811038971},{"id":"https://openalex.org/C3020110719","wikidata":"https://www.wikidata.org/wiki/Q7228835","display_name":"Poor people","level":3,"score":0.4678664207458496},{"id":"https://openalex.org/C2992104146","wikidata":"https://www.wikidata.org/wiki/Q1824165","display_name":"Poverty reduction","level":3,"score":0.4544421434402466},{"id":"https://openalex.org/C47768531","wikidata":"https://www.wikidata.org/wiki/Q1127188","display_name":"Development economics","level":1,"score":0.4352785646915436},{"id":"https://openalex.org/C178377140","wikidata":"https://www.wikidata.org/wiki/Q928590","display_name":"Culture of poverty","level":4,"score":0.4305903911590576},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3749493956565857},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.357807457447052},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.354362815618515},{"id":"https://openalex.org/C100001284","wikidata":"https://www.wikidata.org/wiki/Q2248246","display_name":"Public economics","level":1,"score":0.3263928294181824},{"id":"https://openalex.org/C196777733","wikidata":"https://www.wikidata.org/wiki/Q1550467","display_name":"Basic needs","level":3,"score":0.30959439277648926},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.15009379386901855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11380279064178467},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.24963/ijcai.2022/726","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/726","pdf_url":"https://www.ijcai.org/proceedings/2022/0726.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"},{"id":"pmh:oai:figshare.com:article/24870444","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_Norm_Optimisation_Approach_to_SDGs_Tackling_Poverty_by_Acting_on_Discrimination/24870444","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.7274/24870444.v1","is_oa":true,"landing_page_url":"https://doi.org/10.7274/24870444.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407053147","display_name":"University of Notre Dame","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/726","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/726","pdf_url":"https://www.ijcai.org/proceedings/2022/0726.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":0.47999998927116394,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285606381.pdf","grobid_xml":"https://content.openalex.org/works/W4285606381.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1529254690","https://openalex.org/W1617616611","https://openalex.org/W1979918095","https://openalex.org/W2047773221","https://openalex.org/W2579438956","https://openalex.org/W2805429204","https://openalex.org/W2890421170","https://openalex.org/W2897782526","https://openalex.org/W2914858073","https://openalex.org/W3133758397","https://openalex.org/W3135023853","https://openalex.org/W3177408304","https://openalex.org/W3195846544","https://openalex.org/W4283654020","https://openalex.org/W4293083713"],"related_works":["https://openalex.org/W2183198762","https://openalex.org/W4205123129","https://openalex.org/W3114066202","https://openalex.org/W2890798119","https://openalex.org/W4385785607","https://openalex.org/W2184322640","https://openalex.org/W4234262580","https://openalex.org/W4372057864","https://openalex.org/W2047611196","https://openalex.org/W2558437000"],"abstract_inverted_index":{"Policies":[0],"that":[1,105,124],"seek":[2,53],"to":[3,14,54,61,79,121],"mitigate":[4],"poverty":[5,137,177],"by":[6,59,139],"acting":[7,140],"on":[8,141,168],"equal":[9,86],"opportunity":[10,87],"have":[11],"been":[12],"found":[13],"aggravate":[15],"discrimination":[16,143],"against":[17,144],"the":[18,30,37,64,67,81,101,108,117,142,145,150,170],"poor":[19,38],"(aporophobia),":[20],"since":[21],"individuals":[22],"are":[23],"made":[24],"responsible":[25],"for":[26,136],"not":[27],"progressing":[28],"in":[29,42,147],"social":[31,74,89,118],"hierarchy.":[32],"Only":[33],"a":[34,130,174],"minority":[35],"of":[36,45,71,83,96,103,110,116,133,176],"benefit":[39],"from":[40],"meritocracy":[41],"this":[43,76],"era":[44],"growing":[46],"inequality,":[47],"generating":[48],"resentment":[49],"among":[50],"those":[51],"who":[52],"escape":[55],"their":[56],"needy":[57],"situations":[58],"trying":[60],"climb":[62],"up":[63],"ladder.":[65],"Through":[66],"formulation":[68],"and":[69,88,128,162,173],"development":[70],"an":[72],"agent-based":[73],"simulation,":[75],"study":[77],"aims":[78],"analyse":[80],"role":[82],"norms":[84],"implementing":[85],"solidarity":[90],"principles":[91],"as":[92,98,100],"enhancers":[93],"or":[94],"mitigators":[95],"aporophobia,":[97],"well":[99],"threshold":[102],"aporophobia":[104],"would":[106],"facilitate":[107],"success":[109],"poverty-reduction":[111],"policies.":[112],"The":[113],"ultimate":[114],"goal":[115],"simulation":[119,171],"is":[120],"extract":[122],"insights":[123],"could":[125],"help":[126],"inform":[127],"guide":[129],"new":[131],"generation":[132],"policy":[134],"making":[135],"reduction":[138,178],"poor,":[146],"line":[148],"with":[149],"UN":[151],"\u201cLeave":[152],"No":[153],"One":[154],"Behind\u201d":[155],"principle.":[156],"An":[157],"\u201caporophobia-meter\u201d":[158],"will":[159,164],"be":[160,165],"developed":[161],"guidelines":[163],"drafted":[166],"based":[167],"both":[169],"results":[172],"review":[175],"policies":[179],"at":[180],"regional":[181],"levels.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}