{"id":"https://openalex.org/W4393970737","doi":"https://doi.org/10.1145/3640544.3645249","title":"EPIC: Enhanced Privacy and Integrity Considerations for Research (Tutorial)","display_name":"EPIC: Enhanced Privacy and Integrity Considerations for Research (Tutorial)","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4393970737","doi":"https://doi.org/10.1145/3640544.3645249"},"language":"en","primary_location":{"id":"doi:10.1145/3640544.3645249","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640544.3645249","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640544.3645249","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 29th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3640544.3645249","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017536216","display_name":"Hanna Alzughbi","orcid":"https://orcid.org/0009-0009-3582-197X"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hanna Alzughbi","raw_affiliation_strings":["School of Computing, Clemson University, United States"],"affiliations":[{"raw_affiliation_string":"School of Computing, Clemson University, United States","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039714845","display_name":"Kelly Caine","orcid":"https://orcid.org/0000-0003-3025-4194"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kelly Caine","raw_affiliation_strings":["School of Computing, Clemson University, United States"],"affiliations":[{"raw_affiliation_string":"School of Computing, Clemson University, United States","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060458446","display_name":"Mehtab Iqbal","orcid":"https://orcid.org/0000-0003-3786-8121"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehtab Iqbal","raw_affiliation_strings":["School of Computing, Clemson University, United States"],"affiliations":[{"raw_affiliation_string":"School of Computing, Clemson University, United States","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089865757","display_name":"Bart P. Knijnenburg","orcid":"https://orcid.org/0000-0003-1341-0669"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bart Knijnenburg","raw_affiliation_strings":["School of Computing, Clemson University, United States"],"affiliations":[{"raw_affiliation_string":"School of Computing, Clemson University, United States","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020147472","display_name":"H. P. Lee","orcid":"https://orcid.org/0009-0000-1585-3856"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hansen Lee","raw_affiliation_strings":["School of Computing, Clemson University, United States"],"affiliations":[{"raw_affiliation_string":"School of Computing, Clemson University, United States","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021650928","display_name":"Susan E. McGregor","orcid":"https://orcid.org/0000-0003-3914-4848"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susan E McGregor","raw_affiliation_strings":["Data Science Institute, Columbia University, United States"],"affiliations":[{"raw_affiliation_string":"Data Science Institute, Columbia University, United States","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038467603","display_name":"Emily Sidnam-Mauch","orcid":"https://orcid.org/0000-0003-3372-7778"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emily Sidnam-Mauch","raw_affiliation_strings":["School of Computing, Clemson University, United States"],"affiliations":[{"raw_affiliation_string":"School of Computing, Clemson University, United States","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5017536216"],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03396362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9943000078201294,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9943000078201294,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9869999885559082,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9836000204086304,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833131909370422},{"id":"https://openalex.org/keywords/representativeness-heuristic","display_name":"Representativeness heuristic","score":0.5946866273880005},{"id":"https://openalex.org/keywords/epic","display_name":"EPIC","score":0.49868345260620117},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44897735118865967},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43983781337738037},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43023455142974854},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1563238799571991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833131909370422},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.5946866273880005},{"id":"https://openalex.org/C115519274","wikidata":"https://www.wikidata.org/wiki/Q267903","display_name":"EPIC","level":2,"score":0.49868345260620117},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44897735118865967},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43983781337738037},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43023455142974854},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1563238799571991},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640544.3645249","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640544.3645249","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640544.3645249","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 29th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3640544.3645249","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640544.3645249","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640544.3645249","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 29th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5102968175","display_name":"CICI: UCSS: Maximizing Data Utility and Participant Privacy through Usable, Secure Data Workflows for Human-Centered AI Research","funder_award_id":"2232690","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7210669452","display_name":null,"funder_award_id":"2232690","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393970737.pdf","grobid_xml":"https://content.openalex.org/works/W4393970737.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1986366638","https://openalex.org/W2010057062","https://openalex.org/W2066737814","https://openalex.org/W2085106103","https://openalex.org/W2152667171","https://openalex.org/W2166612033","https://openalex.org/W2223495811","https://openalex.org/W2226173891","https://openalex.org/W2407300725","https://openalex.org/W2520213061","https://openalex.org/W2605025788","https://openalex.org/W2745441042","https://openalex.org/W2746002892","https://openalex.org/W2807988550","https://openalex.org/W2907846783","https://openalex.org/W2975111084","https://openalex.org/W3013160799","https://openalex.org/W3021599943","https://openalex.org/W3158896469","https://openalex.org/W3162228708","https://openalex.org/W3166641388","https://openalex.org/W4214924315","https://openalex.org/W4225089702"],"related_works":["https://openalex.org/W3159631231","https://openalex.org/W4306248409","https://openalex.org/W4211213551","https://openalex.org/W2332151799","https://openalex.org/W2062728131","https://openalex.org/W1824075546","https://openalex.org/W2103926897","https://openalex.org/W2101250918","https://openalex.org/W2009285000","https://openalex.org/W4390145430"],"abstract_inverted_index":{"This":[0],"tutorial":[1,28,68],"engages":[2],"researchers":[3],"in":[4,21,63,82],"a":[5,83],"series":[6],"of":[7,46],"collaborative":[8],"activities":[9],"towards":[10],"Enhanced":[11],"Privacy":[12],"and":[13,49,78,91,97,103,108],"Integrity":[14],"Considerations":[15],"(EPIC)":[16],"for":[17,40,105],"human":[18,60],"subjects":[19,61],"research":[20,62],"the":[22,44,67,99],"artificial":[23],"intelligence":[24],"(AI)":[25],"field.":[26],"The":[27],"aims":[29],"to":[30,34,52,56,74,102],"identify":[31],"common":[32],"challenges":[33,101],"study":[35,47],"integrity,":[36,88],"convey":[37],"best":[38,53],"practices":[39],"protecting":[41],"participants":[42,95],"at":[43],"point":[45],"design,":[48],"discuss":[50,96],"how":[51,73],"design":[54],"tools":[55],"support":[57],"robust,":[58],"privacy-enhancing":[59],"AI.":[64],"In":[65],"particular,":[66],"provides":[69],"hands-on":[70],"training":[71],"on":[72],"determine":[75],"sample":[76,92],"size":[77],"collect":[79],"participant":[80,89],"demographics":[81],"way":[84],"that":[85],"prioritizes":[86],"data":[87],"privacy,":[90],"representativeness.":[93],"Tutorial":[94],"troubleshoot":[98],"unique":[100],"opportunities":[104],"designing":[106],"robust":[107],"ethical":[109],"human-centered":[110],"AI":[111],"research.":[112]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}