{"id":"https://openalex.org/W4399428743","doi":"https://doi.org/10.1145/3665601.3669842","title":"Press ECCS to Doubt (Your Causal Graph)","display_name":"Press ECCS to Doubt (Your Causal Graph)","publication_year":2024,"publication_date":"2024-06-07","ids":{"openalex":"https://openalex.org/W4399428743","doi":"https://doi.org/10.1145/3665601.3669842"},"language":"en","primary_location":{"id":"doi:10.1145/3665601.3669842","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3665601.3669842","pdf_url":null,"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 Conference on Governance, Understanding and Integration of Data for Effective and Responsible AI","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3665601.3669842","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079623131","display_name":"Markos Markakis","orcid":"https://orcid.org/0000-0003-2851-8840"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Markos Markakis","raw_affiliation_strings":["MIT CSAIL, USA"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021339266","display_name":"Ziyu Zhang","orcid":"https://orcid.org/0000-0002-8605-0169"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyu Zhang","raw_affiliation_strings":["MIT CSAIL, USA"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066902555","display_name":"Rana Shahout","orcid":"https://orcid.org/0000-0002-9254-8529"},"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":"Rana Shahout","raw_affiliation_strings":["Harvard University, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012426833","display_name":"Trinity Gao","orcid":"https://orcid.org/0009-0009-4792-7077"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trinity Gao","raw_affiliation_strings":["MIT CSAIL, USA"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101508204","display_name":"Chunwei Liu","orcid":"https://orcid.org/0000-0003-1481-2678"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunwei Liu","raw_affiliation_strings":["MIT CSAIL, USA"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062053667","display_name":"Ibrahim Sabek","orcid":"https://orcid.org/0009-0006-2102-5241"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ibrahim Sabek","raw_affiliation_strings":["University of Southern California, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039133265","display_name":"Michael Cafarella","orcid":"https://orcid.org/0000-0001-6122-0590"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Cafarella","raw_affiliation_strings":["MIT CSAIL, USA"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5079623131"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4853,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6549763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9248999953269958,"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/T11182","display_name":"Auction Theory and Applications","score":0.9248999953269958,"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/computer-science","display_name":"Computer science","score":0.6728745698928833},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4381634294986725},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38806939125061035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728745698928833},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4381634294986725},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38806939125061035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3665601.3669842","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3665601.3669842","pdf_url":null,"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 Conference on Governance, Understanding and Integration of Data for Effective and Responsible AI","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/155539","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/155539","pdf_url":"https://dspace.mit.edu/bitstream/1721.1/155539/1/3665601.3669842.pdf","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Association for Computing Machinery","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"doi:10.1145/3665601.3669842","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3665601.3669842","pdf_url":null,"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 Conference on Governance, Understanding and Integration of Data for Effective and Responsible AI","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1969483458","https://openalex.org/W1975062332","https://openalex.org/W2031759759","https://openalex.org/W2050502901","https://openalex.org/W2073307618","https://openalex.org/W2089367340","https://openalex.org/W2103659055","https://openalex.org/W2117519995","https://openalex.org/W2145366458","https://openalex.org/W2556178492","https://openalex.org/W2562381368","https://openalex.org/W2790098524","https://openalex.org/W2798682670","https://openalex.org/W2807269292","https://openalex.org/W2808679659","https://openalex.org/W2948579453","https://openalex.org/W2964718997","https://openalex.org/W2965536863","https://openalex.org/W3093972645","https://openalex.org/W3104000671","https://openalex.org/W3123384096","https://openalex.org/W3133932964","https://openalex.org/W3147653952","https://openalex.org/W3155949183","https://openalex.org/W3203697963","https://openalex.org/W4220941910","https://openalex.org/W4282050285","https://openalex.org/W4288727220","https://openalex.org/W4289523040","https://openalex.org/W4289528791","https://openalex.org/W4381326944","https://openalex.org/W4385653229","https://openalex.org/W4392873242","https://openalex.org/W4392902720","https://openalex.org/W4398234851","https://openalex.org/W6959643953"],"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/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Techniques":[0],"from":[1,58],"the":[2,102],"theory":[3],"of":[4,97],"causality":[5,30],"have":[6,101],"seen":[7],"extensive":[8],"use":[9],"in":[10,35],"natural":[11],"and":[12,23,43,72],"social":[13],"sciences,":[14],"since":[15],"they":[16],"allow":[17],"scientists":[18],"to":[19,86],"explicitly":[20],"model":[21,47],"assumptions":[22],"draw":[24],"quantitative":[25],"causal":[26,46,53,69,82,99],"conclusions.":[27],"More":[28],"recently,":[29],"has":[31],"also":[32],"gathered":[33],"interest":[34],"many":[36],"computer":[37],"science":[38],"sub-fields,":[39],"including":[40],"machine":[41],"learning":[42],"systems.":[44],"A":[45],"is":[48,77,108],"usually":[49],"represented":[50],"as":[51],"a":[52,66,98],"graph,":[54],"often":[55],"automatically":[56,80],"discovered":[57],"available":[59],"data.":[60],"For":[61],"problems":[62],"for":[63,89,110],"which":[64,95],"running":[65],"full":[67],"constraint-based":[68],"discovery":[70],"algorithm":[71],"correctly":[73],"orienting":[74],"all":[75],"edges":[76],"computationally":[78],"intractable,":[79],"generated":[81],"graphs":[83],"are":[84],"prone":[85],"error,":[87],"calling":[88],"expensive":[90],"manual":[91],"graph":[92,100,113],"verification.":[93],"Understanding":[94],"parts":[96],"largest":[103],"impact":[104],"on":[105],"downstream":[106],"results":[107],"essential":[109],"expediting":[111],"this":[112],"verification":[114],"process.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}