{"id":"https://openalex.org/W7134133520","doi":"https://doi.org/10.1109/bigdata66926.2025.11402144","title":"When Data & AI Converge for Good, Societal Impact Accelerates","display_name":"When Data & AI Converge for Good, Societal Impact Accelerates","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7134133520","doi":"https://doi.org/10.1109/bigdata66926.2025.11402144"},"language":null,"primary_location":{"id":"doi:10.1109/bigdata66926.2025.11402144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata66926.2025.11402144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Big Data (BigData)","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/A5128311746","display_name":"Nitesh Chawla","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nitesh Chawla","raw_affiliation_strings":["University of Notre Dame"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5128311746"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8596621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"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":0.07900000363588333,"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":0.07900000363588333,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.04089999943971634,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T14350","display_name":"Innovation, Sustainability, Human-Machine Systems","score":0.03150000050663948,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/social-impact","display_name":"Social impact","score":0.34040001034736633},{"id":"https://openalex.org/keywords/societal-impact-of-nanotechnology","display_name":"Societal impact of nanotechnology","score":0.32850000262260437},{"id":"https://openalex.org/keywords/impact-assessment","display_name":"Impact assessment","score":0.3001999855041504},{"id":"https://openalex.org/keywords/impact-evaluation","display_name":"Impact evaluation","score":0.29980000853538513},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.2775999903678894},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2745000123977661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4805000126361847},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.43130001425743103},{"id":"https://openalex.org/C2983815764","wikidata":"https://www.wikidata.org/wiki/Q7551167","display_name":"Social impact","level":3,"score":0.34040001034736633},{"id":"https://openalex.org/C80783014","wikidata":"https://www.wikidata.org/wiki/Q1754062","display_name":"Societal impact of nanotechnology","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C111874474","wikidata":"https://www.wikidata.org/wiki/Q6005872","display_name":"Impact assessment","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C93360035","wikidata":"https://www.wikidata.org/wiki/Q17055852","display_name":"Impact evaluation","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2944999933242798},{"id":"https://openalex.org/C100001284","wikidata":"https://www.wikidata.org/wiki/Q2248246","display_name":"Public economics","level":1,"score":0.28200000524520874},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.26660001277923584},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.263700008392334},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C188897","wikidata":"https://www.wikidata.org/wiki/Q5333508","display_name":"Economic impact analysis","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata66926.2025.11402144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata66926.2025.11402144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"data":[1,35,91],"and":[2,19,51,69,85,96,99,108],"AI":[3],"increasingly":[4],"converge":[5],"to":[6,36,38],"drive":[7],"societal":[8],"impact,":[9],"their":[10],"true":[11],"potential":[12],"emerges":[13],"at":[14],"the":[15,32,76,80],"intersection":[16],"of":[17,90],"innovation":[18],"translational":[20],"research.":[21],"In":[22],"this":[23,103],"keynote,":[24],"I":[25,72],"will":[26,73],"present":[27],"our":[28],"group's":[29],"work":[30],"spanning":[31],"journey":[33],"from":[34],"algorithms":[37],"real-world":[39],"translation":[40],"\u2013":[41],"advancing":[42],"methods":[43],"for":[44],"learning":[45],"on":[46],"graphs,":[47],"addressing":[48],"imbalanced":[49],"data,":[50],"developing":[52],"large":[53],"language":[54],"models,":[55],"all":[56],"with":[57],"an":[58],"eye":[59],"toward":[60],"meaningful":[61],"impact":[62],"across":[63],"domains":[64],"such":[65],"as":[66],"healthcare,":[67],"sciences,":[68],"peace":[70],"processes.":[71],"also":[74],"examine":[75],"\u201clast-mile\u201d":[77],"challenge:":[78],"bridging":[79],"gap":[81,104],"between":[82],"algorithmic":[83],"advances":[84],"practical":[86],"deployment,":[87],"including":[88],"issues":[89],"quality,":[92],"bias":[93],"mitigation,":[94],"governance,":[95],"equitable":[97],"access,":[98],"discuss":[100],"how":[101],"closing":[102],"can":[105],"accelerate":[106],"inclusive":[107],"responsible":[109],"progress.":[110]},"counts_by_year":[],"updated_date":"2026-03-09T07:00:12.390032","created_date":"2026-03-08T00:00:00"}