{"id":"https://openalex.org/W2080494333","doi":"https://doi.org/10.1145/2556271","title":"Eliciting Predictions and Recommendations for Decision Making","display_name":"Eliciting Predictions and Recommendations for Decision Making","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2080494333","doi":"https://doi.org/10.1145/2556271","mag":"2080494333"},"language":"en","primary_location":{"id":"doi:10.1145/2556271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556271","pdf_url":null,"source":{"id":"https://openalex.org/S4210173995","display_name":"ACM Transactions on Economics and Computation","issn_l":"2167-8375","issn":["2167-8375","2167-8383"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Economics and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:27754352","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100738428","display_name":"Yiling Chen","orcid":"https://orcid.org/0000-0003-4485-3227"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yiling Chen","raw_affiliation_strings":["Harvard University"],"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045648666","display_name":"Ian A. Kash","orcid":"https://orcid.org/0000-0002-7826-8555"},"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"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Ian A. Kash","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049270519","display_name":"Michael Edward Ruberry","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Ruberry","raw_affiliation_strings":["Harvard University"],"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008727361","display_name":"Victor Shnayder","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor Shnayder","raw_affiliation_strings":["Harvard University"],"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100738428"],"corresponding_institution_ids":["https://openalex.org/I2801851002"],"apc_list":null,"apc_paid":null,"fwci":3.4113,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.94047464,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","issue":"2","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9990000128746033,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9990000128746033,"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/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9866999983787537,"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"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.7966094017028809},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.6929149627685547},{"id":"https://openalex.org/keywords/decision-analysis","display_name":"Decision analysis","score":0.6914541721343994},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6684619188308716},{"id":"https://openalex.org/keywords/advice","display_name":"Advice (programming)","score":0.6138176918029785},{"id":"https://openalex.org/keywords/optimal-decision","display_name":"Optimal decision","score":0.5097703337669373},{"id":"https://openalex.org/keywords/decision-engineering","display_name":"Decision engineering","score":0.506754457950592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5043333768844604},{"id":"https://openalex.org/keywords/evidential-reasoning-approach","display_name":"Evidential reasoning approach","score":0.503797709941864},{"id":"https://openalex.org/keywords/business-decision-mapping","display_name":"Business decision mapping","score":0.49511829018592834},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.4915524423122406},{"id":"https://openalex.org/keywords/decision-field-theory","display_name":"Decision field theory","score":0.43992897868156433},{"id":"https://openalex.org/keywords/evidential-decision-theory","display_name":"Evidential decision theory","score":0.4311458170413971},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.36171895265579224},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.32599377632141113},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.316828191280365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.297538697719574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19301363825798035},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1155599057674408},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.0908505916595459},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.09004920721054077}],"concepts":[{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.7966094017028809},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.6929149627685547},{"id":"https://openalex.org/C186116695","wikidata":"https://www.wikidata.org/wiki/Q5249226","display_name":"Decision analysis","level":2,"score":0.6914541721343994},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6684619188308716},{"id":"https://openalex.org/C2779955035","wikidata":"https://www.wikidata.org/wiki/Q4686785","display_name":"Advice (programming)","level":2,"score":0.6138176918029785},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.5097703337669373},{"id":"https://openalex.org/C135115379","wikidata":"https://www.wikidata.org/wiki/Q2750514","display_name":"Decision engineering","level":4,"score":0.506754457950592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5043333768844604},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.503797709941864},{"id":"https://openalex.org/C97944126","wikidata":"https://www.wikidata.org/wiki/Q5001864","display_name":"Business decision mapping","level":3,"score":0.49511829018592834},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.4915524423122406},{"id":"https://openalex.org/C64431516","wikidata":"https://www.wikidata.org/wiki/Q5249235","display_name":"Decision field theory","level":5,"score":0.43992897868156433},{"id":"https://openalex.org/C179797291","wikidata":"https://www.wikidata.org/wiki/Q5418357","display_name":"Evidential decision theory","level":5,"score":0.4311458170413971},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36171895265579224},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.32599377632141113},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.316828191280365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.297538697719574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19301363825798035},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1155599057674408},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0908505916595459},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.09004920721054077},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2556271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556271","pdf_url":null,"source":{"id":"https://openalex.org/S4210173995","display_name":"ACM Transactions on Economics and Computation","issn_l":"2167-8375","issn":["2167-8375","2167-8383"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Economics and Computation","raw_type":"journal-article"},{"id":"pmh:oai:dash.harvard.edu:1/27754352","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:27754352","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"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":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:dash.harvard.edu:1/27754352","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:27754352","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"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":"Journal Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G7176151942","display_name":null,"funder_award_id":"CCF-0953516","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"}],"funders":[{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522094730","https://openalex.org/W1526874807","https://openalex.org/W1556993476","https://openalex.org/W1599628716","https://openalex.org/W1603577318","https://openalex.org/W1766619930","https://openalex.org/W1879156100","https://openalex.org/W1977616266","https://openalex.org/W1998274472","https://openalex.org/W1998634271","https://openalex.org/W2001854273","https://openalex.org/W2013622632","https://openalex.org/W2013960211","https://openalex.org/W2019050418","https://openalex.org/W2024578467","https://openalex.org/W2025720061","https://openalex.org/W2029552385","https://openalex.org/W2046939282","https://openalex.org/W2055471292","https://openalex.org/W2073241381","https://openalex.org/W2084537882","https://openalex.org/W2090416891","https://openalex.org/W2098466851","https://openalex.org/W2098901145","https://openalex.org/W2100539220","https://openalex.org/W2103067862","https://openalex.org/W2117785059","https://openalex.org/W2120832833","https://openalex.org/W2126468127","https://openalex.org/W2129875325","https://openalex.org/W2340985688","https://openalex.org/W2591957553","https://openalex.org/W2619103847","https://openalex.org/W2791379569","https://openalex.org/W6631428997"],"related_works":["https://openalex.org/W3108582778","https://openalex.org/W76277348","https://openalex.org/W2621513865","https://openalex.org/W2259218756","https://openalex.org/W2408088770","https://openalex.org/W1523254661","https://openalex.org/W2182339591","https://openalex.org/W2944273082","https://openalex.org/W2895211607","https://openalex.org/W2360010337"],"abstract_inverted_index":{"When":[0],"making":[1,100],"a":[2,4,17,22,49,106,120,128,150],"decision,":[3,24],"decision":[5,26,44,64,78,99,103,125,144,157,162],"maker":[6,27,65,104,126,163],"selects":[7,67],"one":[8,52],"of":[9,40,59,93,153,155],"several":[10],"possible":[11,140],"actions":[12],"and":[13,62],"hopes":[14],"to":[15,85,110,131,141],"achieve":[16],"desirable":[18],"outcome.":[19],"To":[20,114],"make":[21],"better":[23],"the":[25,57,63,72,91,102,124,143,156,161],"often":[28],"asks":[29,127],"experts":[30,55,81],"for":[31,43,149],"advice.":[32],"In":[33],"this":[34,116],"article,":[35],"we":[36,118],"consider":[37,119],"two":[38],"methods":[39],"acquiring":[41],"advice":[42],"making.":[45],"We":[46,74,135],"begin":[47],"with":[48],"method":[50,122],"where":[51,80,123],"or":[53],"more":[54],"predict":[56],"effect":[58],"each":[60,94],"action":[61,69,148],"then":[66],"an":[68,83,112,133,165],"based":[70],"on":[71],"predictions.":[73],"characterize":[75],"strictly":[76,97],"proper":[77,98],"making,":[79],"have":[82],"incentive":[84],"accurately":[86],"reveal":[87],"their":[88],"beliefs":[89],"about":[90],"outcome":[92],"action.":[95,113,134],"However,":[96],"requires":[101],"use":[105],"completely":[107],"mixed":[108],"strategy":[109],"choose":[111],"address":[115],"limitation,":[117],"second":[121],"single":[129],"expert":[130],"recommend":[132],"show":[136],"that":[137],"it":[138],"is":[139,164],"elicit":[142],"maker\u2019s":[145],"most":[146],"preferred":[147],"broad":[151],"class":[152],"preferences":[154],"maker,":[158],"including":[159],"when":[160],"expected":[166],"value":[167],"maximizer.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
