{"id":"https://openalex.org/W2588064451","doi":"https://doi.org/10.1145/2998181.2998331","title":"Data Vision","display_name":"Data Vision","publication_year":2017,"publication_date":"2017-02-14","ids":{"openalex":"https://openalex.org/W2588064451","doi":"https://doi.org/10.1145/2998181.2998331","mag":"2588064451"},"language":"en","primary_location":{"id":"doi:10.1145/2998181.2998331","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2998181.2998331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.03387","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Samir Passi","orcid":null},"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":"Samir Passi","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":null,"display_name":"Steven Jackson","orcid":null},"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":"Steven Jackson","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":13.3297,"has_fulltext":false,"cited_by_count":95,"citation_normalized_percentile":{"value":0.98408488,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2436","last_page":"2447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9987999796867371,"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/T11024","display_name":"Information Systems Theories and Implementation","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9634000062942505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/situated","display_name":"Situated","score":0.7129999995231628},{"id":"https://openalex.org/keywords/straddle","display_name":"Straddle","score":0.5827000141143799},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5561000108718872},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.3955000042915344},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.38989999890327454},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.3716000020503998},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.3626999855041504},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.33059999346733093},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.3305000066757202}],"concepts":[{"id":"https://openalex.org/C132829578","wikidata":"https://www.wikidata.org/wiki/Q581151","display_name":"Situated","level":2,"score":0.7129999995231628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6470000147819519},{"id":"https://openalex.org/C2779117054","wikidata":"https://www.wikidata.org/wiki/Q1406345","display_name":"Straddle","level":2,"score":0.5827000141143799},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5561000108718872},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.47999998927116394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4124999940395355},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39800000190734863},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.3955000042915344},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3626999855041504},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.3305000066757202},{"id":"https://openalex.org/C200380349","wikidata":"https://www.wikidata.org/wiki/Q2290699","display_name":"Situated learning","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C2777632292","wikidata":"https://www.wikidata.org/wiki/Q315515","display_name":"Discretion","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C2778023277","wikidata":"https://www.wikidata.org/wiki/Q321703","display_name":"Premise","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25360000133514404},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2998181.2998331","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2998181.2998331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.03387","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.03387","pdf_url":"https://arxiv.org/pdf/2002.03387","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.03387","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.03387","pdf_url":"https://arxiv.org/pdf/2002.03387","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6046382484","display_name":"CHS: Small: Advancing the Human Work of Data Analytics","funder_award_id":"1526155","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1500693574","https://openalex.org/W1973002170","https://openalex.org/W1991612274","https://openalex.org/W2029039001","https://openalex.org/W2057336082","https://openalex.org/W2076265265","https://openalex.org/W2087290655","https://openalex.org/W2094668430","https://openalex.org/W2106743565","https://openalex.org/W2112031167","https://openalex.org/W2120096569","https://openalex.org/W2134296937","https://openalex.org/W2144131607","https://openalex.org/W2153981305","https://openalex.org/W2161336914","https://openalex.org/W2162121633","https://openalex.org/W2336171935","https://openalex.org/W4210970513","https://openalex.org/W4252535617","https://openalex.org/W6877337176"],"related_works":[],"abstract_inverted_index":{"Learning":[0],"to":[1,7,113],"see":[2],"through":[3],"data":[4,27,48,66,95,108,132,144],"is":[5,75],"central":[6],"contemporary":[8],"forms":[9],"of":[10,21,32,42,82,91,118,131,140],"algorithmic":[11],"knowledge":[12],"production.":[13],"While":[14],"often":[15],"represented":[16],"as":[17,78,88,97],"a":[18,29,79,98],"mechanical":[19,80],"application":[20,74],"rules,":[22],"making":[23],"algorithms":[24],"work":[25,142],"with":[26],"requires":[28,110],"great":[30],"deal":[31],"situated":[33,92],"work.":[34],"This":[35],"paper":[36],"examines":[37],"how":[38,71,128],"the":[39,58,115,129,138],"often-divergent":[40],"demands":[41,117],"mechanization":[43],"and":[44,57,61,84,121,148],"discretion":[45],"manifest":[46],"in":[47,55,64,143],"analytic":[49,145],"learning":[50,67],"environments.":[51],"Drawing":[52],"on":[53],"research":[54],"CSCW":[56],"social":[59],"sciences,":[60],"ethnographic":[62],"fieldwork":[63],"two":[65],"environments,":[68],"we":[69,104],"show":[70,105],"an":[72,89],"algorithm's":[73],"seen":[76],"sometimes":[77],"sequence":[81],"rules":[83],"at":[85],"other":[86],"times":[87],"array":[90],"decisions.":[93],"Casting":[94],"analytics":[96],"rule-based":[99],"(rather":[100],"than":[101],"rule-bound)":[102],"practice,":[103],"that":[106],"effective":[107],"vision":[109,133],"would-be":[111],"analysts":[112],"straddle":[114],"competing":[116],"formal":[119],"abstraction":[120],"empirical":[122],"contingency.":[123],"We":[124],"conclude":[125],"by":[126],"discussing":[127],"notion":[130],"can":[134],"help":[135],"better":[136],"leverage":[137],"role":[139],"human":[141],"learning,":[146],"research,":[147],"practice.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2017-02-24T00:00:00"}