{"id":"https://openalex.org/W4388008091","doi":"https://doi.org/10.1145/3617694.3623238","title":"Informational Diversity and Affinity Bias in Team Growth Dynamics","display_name":"Informational Diversity and Affinity Bias in Team Growth Dynamics","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4388008091","doi":"https://doi.org/10.1145/3617694.3623238"},"language":"en","primary_location":{"id":"doi:10.1145/3617694.3623238","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3617694.3623238","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3617694.3623238","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Equity and Access in Algorithms, Mechanisms, and Optimization","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3617694.3623238","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037735812","display_name":"Hoda Heidari","orcid":"https://orcid.org/0000-0003-3710-4076"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hoda Heidari","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074825066","display_name":"Solon Barocas","orcid":"https://orcid.org/0000-0003-4577-466X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Solon Barocas","raw_affiliation_strings":["Microsoft Research, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055710645","display_name":"Jon Kleinberg","orcid":"https://orcid.org/0000-0002-1929-2512"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jon Kleinberg","raw_affiliation_strings":["Cornell Universiry, USA"],"affiliations":[{"raw_affiliation_string":"Cornell Universiry, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040228064","display_name":"Karen Levy","orcid":"https://orcid.org/0000-0003-3806-9161"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karen Levy","raw_affiliation_strings":["Cornell University, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037735812"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.3511,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82671703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11047","display_name":"Gender Diversity and Inequality","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"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/T11047","display_name":"Gender Diversity and Inequality","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"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/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.9745000004768372,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9449999928474426,"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/diversity","display_name":"Diversity (politics)","score":0.6800773739814758},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5276255011558533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.470491886138916},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15984639525413513},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1114545464515686}],"concepts":[{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.6800773739814758},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5276255011558533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.470491886138916},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15984639525413513},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1114545464515686},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3617694.3623238","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3617694.3623238","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3617694.3623238","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Equity and Access in Algorithms, Mechanisms, and Optimization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3617694.3623238","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3617694.3623238","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3617694.3623238","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Equity and Access in Algorithms, Mechanisms, and Optimization","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5744504622","display_name":null,"funder_award_id":"IIS2040929, IIS2229881","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388008091.pdf","grobid_xml":"https://content.openalex.org/works/W4388008091.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1971928307","https://openalex.org/W1993387039","https://openalex.org/W2021898620","https://openalex.org/W2029301364","https://openalex.org/W2029821172","https://openalex.org/W2033659252","https://openalex.org/W2049151944","https://openalex.org/W2054904521","https://openalex.org/W2089586199","https://openalex.org/W2093868260","https://openalex.org/W2103425354","https://openalex.org/W2106010205","https://openalex.org/W2116921386","https://openalex.org/W2140454616","https://openalex.org/W2151047977","https://openalex.org/W2158392329","https://openalex.org/W2162153599","https://openalex.org/W2172004501","https://openalex.org/W2490299702","https://openalex.org/W4247824380"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Prior":[0],"work":[1],"has":[2],"provided":[3],"strong":[4],"evidence":[5],"that,":[6],"within":[7],"organizational":[8],"settings,":[9],"teams":[10,26,46],"that":[11,27,53,140,242],"bring":[12],"a":[13,20,80,105,111,114,135,215,226],"diversity":[14,35,58,235,246],"of":[15,33,56,70,76,83,97,107,116,130,137,192,198,218,229],"information":[16],"and":[17,238,247],"perspectives":[18],"to":[19,124,163,187,232],"task":[21],"are":[22,59],"more":[23],"effective":[24],"than":[25],"do":[28,40],"not.":[29],"If":[30],"this":[31,71,131,179],"form":[32],"informational":[34,57,234,245],"confers":[36],"performance":[37,93,157,212,248],"advantages,":[38],"why":[39],"we":[41,78],"often":[42],"see":[43],"largely":[44],"homogeneous":[45],"in":[47,60,86,95,220,236],"practice?":[48],"One":[49],"canonical":[50],"argument":[51],"is":[52],"the":[54,68,74,125,183,190,193,199,204],"benefits":[55],"tension":[61,72],"with":[62,118],"affinity":[63],"bias.":[64],"To":[65],"better":[66,156],"understand":[67],"impact":[69],"on":[73,104],"makeup":[75],"teams,":[77],"analyze":[79],"sequential":[81],"model":[82,133],"team":[84,149,200,221],"formation":[85],"which":[87],"individuals":[88],"care":[89],"about":[90],"their":[91],"team\u2019s":[92],"(captured":[94],"terms":[96],"accurately":[98],"predicting":[99],"some":[100],"future":[101],"outcome":[102],"based":[103],"set":[106,136],"features)":[108],"but":[109,158],"experience":[110],"cost":[112],"as":[113,182],"result":[115],"interacting":[117],"teammates":[119],"who":[120],"use":[121],"different":[122],"approaches":[123],"prediction":[126],"task.":[127],"Our":[128,223],"analysis":[129],"simple":[132],"reveals":[134],"subtle":[138],"behaviors":[139],"team-growth":[141],"dynamics":[142,205],"can":[143,152,174,201],"exhibit:":[144],"(i)":[145],"from":[146,169,178,211],"certain":[147],"initial":[148,171,196],"compositions,":[150,172],"they":[151,173],"make":[153],"progress":[154],"toward":[155,208],"then":[159],"get":[160],"stuck":[161],"partway":[162],"optimally":[164],"diverse":[165],"teams;":[166],"while":[167],"(ii)":[168],"other":[170],"also":[175],"move":[176,207],"away":[177,210],"optimal":[180],"balance":[181],"majority":[184],"group":[185],"tries":[186],"crowd":[188],"out":[189],"opinions":[191],"minority.":[194],"The":[195],"composition":[197],"determine":[202],"whether":[203],"will":[206],"or":[209],"optimality,":[213],"painting":[214],"path-dependent":[216],"picture":[217],"inefficiencies":[219],"compositions.":[222],"results":[224],"formalize":[225],"fundamental":[227],"limitation":[228],"utility-based":[230],"motivations":[231],"drive":[233],"organizations":[237],"hint":[239],"at":[240],"interventions":[241],"may":[243],"improve":[244],"simultaneously.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
