{"id":"https://openalex.org/W4322825098","doi":"https://doi.org/10.1145/3544548.3581236","title":"Causalvis: Visualizations for Causal Inference","display_name":"Causalvis: Visualizations for Causal Inference","publication_year":2023,"publication_date":"2023-04-19","ids":{"openalex":"https://openalex.org/W4322825098","doi":"https://doi.org/10.1145/3544548.3581236"},"language":"en","primary_location":{"id":"doi:10.1145/3544548.3581236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544548.3581236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544548.3581236","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3544548.3581236","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063966157","display_name":"Grace Guo","orcid":"https://orcid.org/0000-0001-8733-6268"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Grace Guo","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, United States"],"raw_orcid":"https://orcid.org/0000-0001-8733-6268","affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, United States","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017641309","display_name":"Ehud Karavani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ehud Karavani","raw_affiliation_strings":["IBM Research, Israel"],"raw_orcid":"https://orcid.org/0000-0002-0187-5437","affiliations":[{"raw_affiliation_string":"IBM Research, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064306421","display_name":"Alex Endert","orcid":"https://orcid.org/0000-0002-6914-610X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Endert","raw_affiliation_strings":["Georgia Institute of Technology, United States"],"raw_orcid":"https://orcid.org/0000-0002-6914-610X","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, United States","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064480048","display_name":"Bum Chul Kwon","orcid":"https://orcid.org/0000-0002-9391-6274"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bum Chul Kwon","raw_affiliation_strings":["IBM Research, United States"],"raw_orcid":"https://orcid.org/0000-0002-9391-6274","affiliations":[{"raw_affiliation_string":"IBM Research, United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0315,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93042255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.837310791015625},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7800938487052917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7722335457801819},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7535467147827148},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5432314872741699},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47744256258010864},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.4556056559085846},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.44635024666786194},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.44065001606941223},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.4317482113838196},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.4258174002170563},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4134581983089447},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4105866551399231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38911595940589905},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3880503475666046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3588314652442932},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1501685082912445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07873240113258362},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.07269352674484253}],"concepts":[{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.837310791015625},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7800938487052917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7722335457801819},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7535467147827148},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5432314872741699},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47744256258010864},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.4556056559085846},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.44635024666786194},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.44065001606941223},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.4317482113838196},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.4258174002170563},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4134581983089447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4105866551399231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38911595940589905},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3880503475666046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3588314652442932},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1501685082912445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07873240113258362},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.07269352674484253},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3544548.3581236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544548.3581236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544548.3581236","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2303.00617","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.00617","pdf_url":"https://arxiv.org/pdf/2303.00617","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3544548.3581236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544548.3581236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544548.3581236","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1146492981","display_name":null,"funder_award_id":"2247790","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2108046072","display_name":"CAREER: Visual Analytics by Demonstration for Interactive Data Analysis","funder_award_id":"1750474","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6020016694","display_name":null,"funder_award_id":"IIS-1750474","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"},{"id":"https://openalex.org/F4320309321","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4322825098.pdf","grobid_xml":"https://content.openalex.org/works/W4322825098.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W1528081447","https://openalex.org/W1893161884","https://openalex.org/W1970569592","https://openalex.org/W1978108654","https://openalex.org/W1992743299","https://openalex.org/W2000413006","https://openalex.org/W2011301426","https://openalex.org/W2038015239","https://openalex.org/W2049910836","https://openalex.org/W2110202581","https://openalex.org/W2126619073","https://openalex.org/W2144988340","https://openalex.org/W2148680582","https://openalex.org/W2150014546","https://openalex.org/W2150291618","https://openalex.org/W2167634366","https://openalex.org/W2526501380","https://openalex.org/W2576536258","https://openalex.org/W2762082538","https://openalex.org/W2776946813","https://openalex.org/W2796040126","https://openalex.org/W2888688605","https://openalex.org/W2890114759","https://openalex.org/W2906577465","https://openalex.org/W2909558947","https://openalex.org/W2947566491","https://openalex.org/W2948579453","https://openalex.org/W2958977657","https://openalex.org/W2962851501","https://openalex.org/W2964060211","https://openalex.org/W2964099165","https://openalex.org/W2969737323","https://openalex.org/W2999864449","https://openalex.org/W3005795556","https://openalex.org/W3029504795","https://openalex.org/W3029847696","https://openalex.org/W3031763002","https://openalex.org/W3041984699","https://openalex.org/W3043282784","https://openalex.org/W3044225844","https://openalex.org/W3081850804","https://openalex.org/W3092569006","https://openalex.org/W3094507803","https://openalex.org/W3118337609","https://openalex.org/W3124658416","https://openalex.org/W3142151604","https://openalex.org/W3150635270","https://openalex.org/W3161776805","https://openalex.org/W3162071453","https://openalex.org/W3194911481","https://openalex.org/W3202672160","https://openalex.org/W3203230410","https://openalex.org/W3203358361","https://openalex.org/W3217037605","https://openalex.org/W4220800050","https://openalex.org/W4221015417","https://openalex.org/W4221164056","https://openalex.org/W4224991060","https://openalex.org/W4225016635","https://openalex.org/W4225294998","https://openalex.org/W4233216783","https://openalex.org/W4234961057","https://openalex.org/W4241074054","https://openalex.org/W4245232001","https://openalex.org/W4247399381","https://openalex.org/W4248145776","https://openalex.org/W4251686773","https://openalex.org/W4280584663","https://openalex.org/W4285508994","https://openalex.org/W4290858268","https://openalex.org/W4294553991","https://openalex.org/W4296338115","https://openalex.org/W4296938090","https://openalex.org/W4297094586"],"related_works":["https://openalex.org/W3215034539","https://openalex.org/W2362367986","https://openalex.org/W2161504683","https://openalex.org/W4386620154","https://openalex.org/W4389961576","https://openalex.org/W4294555408","https://openalex.org/W4372260129","https://openalex.org/W1153243621","https://openalex.org/W4299782962","https://openalex.org/W4386839885"],"abstract_inverted_index":{"Causal":[0],"inference":[1,51,79,96,121],"is":[2,14],"a":[3,15,68],"statistical":[4],"paradigm":[5],"for":[6,72,108,130,133,137],"quantifying":[7],"causal":[8,50,73,78,95,120,134],"effects":[9],"using":[10],"observational":[11],"data.":[12],"It":[13],"complex":[16],"process,":[17],"requiring":[18],"multiple":[19],"steps,":[20],"iterations,":[21],"and":[22,110,141],"collaborations":[23],"with":[24,66,77],"domain":[25],"experts.":[26],"Analysts":[27],"often":[28],"rely":[29],"on":[30],"visualizations":[31,132],"to":[32,46,57,87,93,105],"evaluate":[33],"the":[34,48,106,118,125],"accuracy":[35],"of":[36,127,139],"each":[37],"step.":[38],"However,":[39],"existing":[40],"visualization":[41,70,91],"toolkits":[42],"are":[43,101],"not":[44],"designed":[45],"support":[47,94],"entire":[49],"process":[52,86],"within":[53],"computational":[54],"environments":[55],"familiar":[56],"analysts.":[58],"In":[59],"this":[60,64],"paper,":[61],"we":[62,81],"address":[63],"gap":[65],"Causalvis,":[67],"Python":[69],"package":[71],"inference.":[74],"Working":[75],"closely":[76],"experts,":[80],"adopted":[82],"an":[83],"iterative":[84,119],"design":[85],"develop":[88],"four":[89],"interactive":[90],"modules":[92,100],"analysis":[97],"tasks.":[98],"The":[99],"then":[102],"presented":[103],"back":[104],"experts":[107],"feedback":[109],"evaluation.":[111],"We":[112,123],"found":[113],"that":[114],"Causalvis":[115],"effectively":[116],"supported":[117],"process.":[122],"discuss":[124],"implications":[126],"our":[128],"findings":[129],"designing":[131],"inference,":[135],"particularly":[136],"tasks":[138],"communication":[140],"collaboration.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
