{"id":"https://openalex.org/W4415367148","doi":"https://doi.org/10.1109/mcse.2025.3622975","title":"Predictive Science: A Quest for the Holy","display_name":"Predictive Science: A Quest for the Holy","publication_year":2025,"publication_date":"2025-10-20","ids":{"openalex":"https://openalex.org/W4415367148","doi":"https://doi.org/10.1109/mcse.2025.3622975"},"language":null,"primary_location":{"id":"doi:10.1109/mcse.2025.3622975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcse.2025.3622975","pdf_url":null,"source":{"id":"https://openalex.org/S107923245","display_name":"Computing in Science & Engineering","issn_l":"1521-9615","issn":["1521-9615","1558-366X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320061","host_organization_name":"AIP Publishing","host_organization_lineage":["https://openalex.org/P4310320061","https://openalex.org/P4310320257"],"host_organization_lineage_names":["AIP Publishing","American Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Science & Engineering","raw_type":"journal-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/A5045354720","display_name":"Abani Patra","orcid":"https://orcid.org/0000-0002-3571-5212"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abani Patra","raw_affiliation_strings":["Tufts University, Medford, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3571-5212","affiliations":[{"raw_affiliation_string":"Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003194178","display_name":"Danial Faghihi","orcid":"https://orcid.org/0000-0003-2004-509X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danial Faghihi","raw_affiliation_strings":["University at Buffalo, Buffalo, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-2004-509X","affiliations":[{"raw_affiliation_string":"University at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Prashant K. Jha","orcid":"https://orcid.org/0000-0003-2158-364X"},"institutions":[{"id":"https://openalex.org/I184647316","display_name":"South Dakota School of Mines and Technology","ror":"https://ror.org/00ch7yk27","country_code":"US","type":"education","lineage":["https://openalex.org/I184647316"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prashant K. Jha","raw_affiliation_strings":["South Dakota School of Mines and Technology, Rapid City, SD, USA"],"raw_orcid":"https://orcid.org/0000-0003-2158-364X","affiliations":[{"raw_affiliation_string":"South Dakota School of Mines and Technology, Rapid City, SD, USA","institution_ids":["https://openalex.org/I184647316"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058521174","display_name":"Lianghao Cao","orcid":"https://orcid.org/0000-0002-1487-7730"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lianghao Cao","raw_affiliation_strings":["California Institute of Technology, Pasadena, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-1487-7730","affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083693821","display_name":"Kathryn A. Farrell-Maupin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kathryn A. Farrell-Maupin","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, NM, USA"],"raw_orcid":"https://orcid.org/0009-0003-5002-350X","affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I4210104735"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045354720"],"corresponding_institution_ids":["https://openalex.org/I121934306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26745221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"1","first_page":"30","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11875","display_name":"Statistics Education and Methodologies","score":0.06069999933242798,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T11875","display_name":"Statistics Education and Methodologies","score":0.06069999933242798,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/computational-model","display_name":"Computational model","score":0.6215999722480774},{"id":"https://openalex.org/keywords/complexity-science","display_name":"Complexity science","score":0.4262000024318695},{"id":"https://openalex.org/keywords/scientific-modelling","display_name":"Scientific modelling","score":0.40689998865127563},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.38530001044273376},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.382999986410141},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.37709999084472656},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.36899998784065247},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.35100001096725464},{"id":"https://openalex.org/keywords/philosophy-of-science","display_name":"Philosophy of science","score":0.3508000075817108}],"concepts":[{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.6215999722480774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5608000159263611},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.4645000100135803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.430400013923645},{"id":"https://openalex.org/C2984578830","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complexity science","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C138379479","wikidata":"https://www.wikidata.org/wiki/Q1116876","display_name":"Scientific modelling","level":2,"score":0.40689998865127563},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.38530001044273376},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36719998717308044},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C110099512","wikidata":"https://www.wikidata.org/wiki/Q59115","display_name":"Philosophy of science","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2915000021457672},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C2984917352","wikidata":"https://www.wikidata.org/wiki/Q12772819","display_name":"Scientific discovery","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27489998936653137},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.26759999990463257},{"id":"https://openalex.org/C175154166","wikidata":"https://www.wikidata.org/wiki/Q868608","display_name":"Critical rationalism","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C43540301","wikidata":"https://www.wikidata.org/wiki/Q689971","display_name":"Paradigm shift","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mcse.2025.3622975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcse.2025.3622975","pdf_url":null,"source":{"id":"https://openalex.org/S107923245","display_name":"Computing in Science & Engineering","issn_l":"1521-9615","issn":["1521-9615","1558-366X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320061","host_organization_name":"AIP Publishing","host_organization_lineage":["https://openalex.org/P4310320061","https://openalex.org/P4310320257"],"host_organization_lineage_names":["AIP Publishing","American Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Science & Engineering","raw_type":"journal-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":{"The":[0],"pioneering":[1],"contributions":[2],"of":[3,24,44,70,121,124,132,144],"Dr.":[4,33,112],"J.":[5],"Tinsley":[6],"Oden":[7],"fundamentally":[8],"redefined":[9],"predictive":[10,106],"computational":[11,45,133,147],"science,":[12],"transforming":[13],"it":[14],"into":[15],"a":[16,117],"rigorous":[17,142],"discipline":[18],"centered":[19],"on":[20],"making":[21],"reliable":[22],"predictions":[23],"complex":[25,57],"physical":[26,58],"systems.":[27,158],"This":[28],"article":[29],"attempts":[30],"to":[31,67,128,153],"articulate":[32],"Oden\u2019s":[34,113],"vision":[35],"and":[36,60,78,94,101,135,146],"philosophy":[37],"for":[38,86,91,97],"scientific":[39,119],"prediction,":[40],"emphasizing":[41],"the":[42,68,75,122,130,141],"development":[43,143],"models":[46,148],"that":[47,126,149],"do":[48],"not":[49],"merely":[50],"approximate":[51],"some":[52],"features":[53],"but":[54],"truly":[55],"predict":[56],"phenomena":[59],"systems,":[61],"spanning":[62],"applications":[63],"from":[64],"cancer":[65],"treatment":[66],"behavior":[69],"advanced":[71],"nanomaterials.":[72],"We":[73],"highlight":[74],"core":[76],"mathematical":[77,145],"statistical":[79],"foundations":[80],"he":[81],"advanced,":[82],"including":[83],"Bayesian":[84],"frameworks":[85],"uncertainty":[87],"quantification,":[88],"systematic":[89],"methodologies":[90],"model":[92,103],"validation,":[93],"adaptive":[95],"strategies":[96],"controlling":[98],"prediction":[99,125],"error":[100],"balancing":[102],"complexity":[104],"against":[105],"reliability.":[107],"Finally,":[108],"we":[109],"discuss":[110],"how":[111],"legacy":[114],"has":[115],"established":[116],"new":[118],"paradigm":[120],"science":[123,134],"continues":[127],"advance":[129],"frontier":[131],"engineering,":[136],"guiding":[137],"future":[138],"generations":[139],"toward":[140],"span":[150],"everyday":[151],"technologies":[152],"high-consequence":[154],"decision-making":[155],"in":[156],"critical":[157]},"counts_by_year":[],"updated_date":"2026-04-17T05:58:53.018234","created_date":"2025-10-21T00:00:00"}