{"id":"https://openalex.org/W4385568404","doi":"https://doi.org/10.1145/3580305.3599210","title":"KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)","display_name":"KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385568404","doi":"https://doi.org/10.1145/3580305.3599210"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599210","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100740875","display_name":"Amulya Yadav","orcid":"https://orcid.org/0009-0005-4638-9140"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amulya Yadav","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032975788","display_name":"Aparna Taneja","orcid":"https://orcid.org/0009-0006-9693-487X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aparna Taneja","raw_affiliation_strings":["Google Research, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Google Research, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034049545","display_name":"Ayan Mukhopadhyay","orcid":"https://orcid.org/0000-0002-8355-0950"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayan Mukhopadhyay","raw_affiliation_strings":["Vanderbilt University, Nashville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Vanderbilt University, Nashville, TN, USA","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046445911","display_name":"Serina Chang","orcid":"https://orcid.org/0000-0002-4253-1016"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Serina Chang","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100740875"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13050644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5895","last_page":"5896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.45899999141693115,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.45899999141693115,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5580242872238159},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5321907997131348},{"id":"https://openalex.org/keywords/engineering-ethics","display_name":"Engineering ethics","score":0.5211237072944641},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4795941412448883},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42497938871383667},{"id":"https://openalex.org/keywords/public-relations","display_name":"Public relations","score":0.42117446660995483},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.41381531953811646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39639967679977417},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3923545777797699},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3266119658946991},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20937180519104004}],"concepts":[{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5580242872238159},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5321907997131348},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.5211237072944641},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4795941412448883},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42497938871383667},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.42117446660995483},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.41381531953811646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39639967679977417},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3923545777797699},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3266119658946991},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20937180519104004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599210","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.46000000834465027,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W380379685","https://openalex.org/W2062838854","https://openalex.org/W1536049545","https://openalex.org/W574531438","https://openalex.org/W3123265518","https://openalex.org/W636238771","https://openalex.org/W1989140077","https://openalex.org/W3125325772","https://openalex.org/W325681004","https://openalex.org/W286222301"],"abstract_inverted_index":{"This":[0],"workshop":[1,47],"will":[2,48],"bring":[3],"together":[4],"researchers":[5,100],"and":[6,15,34,40,111],"practitioners":[7],"across":[8],"different":[9],"strands":[10],"of":[11,19,32],"data":[12,51,70,98],"science":[13,52,71,99],"research":[14,33,72],"a":[16],"wide":[17],"range":[18],"important":[20,75],"real-world":[21],"application":[22],"domains.":[23],"The":[24,66],"objective":[25],"is":[26],"to":[27,77],"share":[28],"the":[29,46,56,91,121],"current":[30],"state":[31],"practice,":[35],"explore":[36],"future":[37],"work":[38],"directions,":[39],"create":[41],"collaboration":[42],"opportunities.":[43],"In":[44],"addition,":[45],"emphasize":[49],"highlighting":[50],"approaches":[53],"for":[54],"tackling":[55],"United":[57],"Nations":[58],"Sustainable":[59],"Development":[60],"Goals":[61],"(see":[62],"preliminary":[63],"agenda":[64],"below).":[65],"organizers":[67],"believe":[68],"that":[69],"has":[73],"an":[74],"role":[76],"play":[78],"in":[79,118],"providing":[80],"unique":[81],"insights":[82],"about":[83],"critical":[84],"challenges":[85],"faced":[86],"by":[87],"marginalized":[88],"communities":[89],"around":[90],"world;":[92],"we":[93],"encourage":[94],"submissions":[95],"from":[96],"both":[97],"as":[101,103],"well":[102],"social":[104],"workers,":[105],"agronomists,":[106],"epidemiologists,":[107],"health":[108],"policy":[109],"researchers,":[110],"other":[112],"domain":[113],"experts":[114],"who":[115],"are":[116],"interested":[117],"engaging":[119],"with":[120],"SIGKDD":[122],"community.":[123]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}