{"id":"https://openalex.org/W3155190525","doi":"https://doi.org/10.1145/3457910","title":"Simulating Organizational Data from Redacted Input for Inference Enterprise Modeling","display_name":"Simulating Organizational Data from Redacted Input for Inference Enterprise Modeling","publication_year":2021,"publication_date":"2021-04-16","ids":{"openalex":"https://openalex.org/W3155190525","doi":"https://doi.org/10.1145/3457910","mag":"3155190525"},"language":"en","primary_location":{"id":"doi:10.1145/3457910","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3457910","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3457910","source":{"id":"https://openalex.org/S4210235901","display_name":"Digital Threats Research and Practice","issn_l":"2576-5337","issn":["2576-5337","2692-1626"],"is_oa":true,"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":"Digital Threats: Research and Practice","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3457910","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069167154","display_name":"Paul J. Sticha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140484","display_name":"Human Resources Research Organization","ror":"https://ror.org/03xey5e12","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul J. Sticha","raw_affiliation_strings":["Human Resources Research Organization (HumRRO), Alexandria, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Resources Research Organization (HumRRO), Alexandria, VA","institution_ids":["https://openalex.org/I4210140484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083252127","display_name":"Tirso E. Diaz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140484","display_name":"Human Resources Research Organization","ror":"https://ror.org/03xey5e12","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tirso E. Diaz","raw_affiliation_strings":["Human Resources Research Organization (HumRRO), Alexandria, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Resources Research Organization (HumRRO), Alexandria, VA","institution_ids":["https://openalex.org/I4210140484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077100757","display_name":"Elise T. Axelrad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elise T. Axelrad","raw_affiliation_strings":["Innovative Decisions International, an ITA International Company, Falls Church VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovative Decisions International, an ITA International Company, Falls Church VA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033256398","display_name":"Sean D. Vermillion","orcid":"https://orcid.org/0000-0003-3699-576X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sean D. Vermillion","raw_affiliation_strings":["Innovative Decisions International, an ITA International Company, Austin TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovative Decisions International, an ITA International Company, Austin TX","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042243844","display_name":"Dennis M. Buede","orcid":"https://orcid.org/0000-0001-5749-9576"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dennis M. Buede","raw_affiliation_strings":["Innovative Decisions International, an ITA International Company, Vienna VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovative Decisions International, an ITA International Company, Vienna VA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05376185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":"1","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9869999885559082,"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"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9869999885559082,"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/T13398","display_name":"Data Analysis with R","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9660999774932861,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/workforce","display_name":"Workforce","score":0.753759503364563},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6451212167739868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5499616265296936},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.5423984527587891},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5139122009277344},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.492948055267334},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.47045791149139404},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4635438621044159},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45306074619293213},{"id":"https://openalex.org/keywords/insider","display_name":"Insider","score":0.41508129239082336},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4132119119167328},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34029462933540344},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27272558212280273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21316838264465332},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18986791372299194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18273967504501343}],"concepts":[{"id":"https://openalex.org/C2778139618","wikidata":"https://www.wikidata.org/wiki/Q13440398","display_name":"Workforce","level":2,"score":0.753759503364563},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6451212167739868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5499616265296936},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.5423984527587891},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5139122009277344},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.492948055267334},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.47045791149139404},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4635438621044159},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45306074619293213},{"id":"https://openalex.org/C2778971194","wikidata":"https://www.wikidata.org/wiki/Q1664551","display_name":"Insider","level":2,"score":0.41508129239082336},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4132119119167328},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34029462933540344},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27272558212280273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21316838264465332},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18986791372299194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18273967504501343},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3457910","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3457910","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3457910","source":{"id":"https://openalex.org/S4210235901","display_name":"Digital Threats Research and Practice","issn_l":"2576-5337","issn":["2576-5337","2692-1626"],"is_oa":true,"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":"Digital Threats: Research and Practice","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3457910","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3457910","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3457910","source":{"id":"https://openalex.org/S4210235901","display_name":"Digital Threats Research and Practice","issn_l":"2576-5337","issn":["2576-5337","2692-1626"],"is_oa":true,"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":"Digital Threats: Research and Practice","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G4544232174","display_name":null,"funder_award_id":"2016\u201016031400006","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"}],"funders":[{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3155190525.pdf","grobid_xml":"https://content.openalex.org/works/W3155190525.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1990694356","https://openalex.org/W2020909146","https://openalex.org/W2027115557","https://openalex.org/W2030859284","https://openalex.org/W2035782089","https://openalex.org/W2038201838","https://openalex.org/W2055367468","https://openalex.org/W2056451850","https://openalex.org/W2091542812","https://openalex.org/W2091560152","https://openalex.org/W2105174148","https://openalex.org/W2118443964","https://openalex.org/W2140588557","https://openalex.org/W2146050051","https://openalex.org/W2162187829","https://openalex.org/W2168650487","https://openalex.org/W2172128464","https://openalex.org/W2883865300","https://openalex.org/W2915031771","https://openalex.org/W2965681684","https://openalex.org/W2997591727","https://openalex.org/W3123972780","https://openalex.org/W4230727635","https://openalex.org/W4231107646","https://openalex.org/W4247092506","https://openalex.org/W4313425124"],"related_works":["https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W4286952477","https://openalex.org/W4321348134","https://openalex.org/W2103073163","https://openalex.org/W2795206833","https://openalex.org/W3183730129","https://openalex.org/W2970045733","https://openalex.org/W3035045542","https://openalex.org/W2103512689"],"abstract_inverted_index":{"Organizations":[0],"that":[1,45,137],"use":[2,68],"data":[3,94,176],"to":[4,13,67,95,133,146],"assess":[5,147],"insider":[6],"threats,":[7],"or":[8,61],"other":[9],"workforce":[10,93,115],"outcomes,":[11],"need":[12],"evaluate":[14,171],"the":[15,29,35,43,52,62,100,111,118,142,148,151],"quality":[16],"of":[17,28,58,75,103,108,113,121,125,141,150],"their":[18,81],"assessment":[19,152],"methods.":[20,153],"This":[21],"evaluation":[22,63],"relies":[23],"on":[24],"an":[25,178],"accurate":[26],"representation":[27],"predictors":[30,76,109],"and":[31,77,106,110],"criterion":[32],"variables":[33],"within":[34],"organization's":[36],"workforce.":[37],"However,":[38],"privacy":[39],"concerns":[40],"often":[41],"limit":[42],"information":[44,57,166],"is":[46,167],"available":[47],"for":[48,91,162],"evaluation.":[49],"For":[50],"example,":[51],"organization":[53],"might":[54,64],"anonymize":[55],"identifying":[56],"its":[59],"workforce,":[60,143],"be":[65],"restricted":[66],"group":[69],"statistics,":[70],"such":[71],"as":[72],"marginal":[73,104],"distributions":[74,105],"criteria,":[78],"along":[79],"with":[80],"intercorrelations.":[82],"In":[83],"this":[84],"paper":[85],"we":[86],"demonstrate":[87],"a":[88,114,122,131,135],"hybrid":[89],"approach":[90],"simulating":[92],"support":[96],"inference-enterprise":[97],"evaluation,":[98],"including":[99],"crowdsourced":[101],"elicitation":[102],"correlations":[107],"simulation":[112],"population":[116,136],"from":[117,177],"statistical":[119,139,155],"properties":[120],"redacted":[123],"set":[124],"predictor":[126],"distributions.":[127],"The":[128,154],"methods":[129,156,173],"provide":[130],"way":[132],"simulate":[134],"has":[138],"characteristics":[140],"in":[144],"order":[145],"performance":[149],"are":[157],"supplemented":[158],"by":[159],"expert":[160],"judgments":[161],"situations":[163],"where":[164],"required":[165],"not":[168],"available.":[169],"We":[170],"these":[172],"using":[174],"anonymized":[175],"actual":[179],"organization.":[180]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}