{"id":"https://openalex.org/W4379522673","doi":"https://doi.org/10.21428/594757db.4627363a","title":"Leveraging AI to investigate the impact of different research funding programs on research outcome","display_name":"Leveraging AI to investigate the impact of different research funding programs on research outcome","publication_year":2023,"publication_date":"2023-06-05","ids":{"openalex":"https://openalex.org/W4379522673","doi":"https://doi.org/10.21428/594757db.4627363a"},"language":"en","primary_location":{"id":"doi:10.21428/594757db.4627363a","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21428/594757db.4627363a","pdf_url":"https://caiac.pubpub.org/pub/u957albu/download/pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Canadian Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://caiac.pubpub.org/pub/u957albu/download/pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090502223","display_name":"Hamid Vosoughi","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hamid Vosoughi","raw_affiliation_strings":["Concordia University, Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090502223"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03400174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.6603999733924866,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.6603999733924866,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.6574419736862183},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3456194996833801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3376474380493164},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.32146644592285156},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1901087462902069}],"concepts":[{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.6574419736862183},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3456194996833801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3376474380493164},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.32146644592285156},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1901087462902069},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21428/594757db.4627363a","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21428/594757db.4627363a","pdf_url":"https://caiac.pubpub.org/pub/u957albu/download/pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Canadian Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.21428/594757db.4627363a","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21428/594757db.4627363a","pdf_url":"https://caiac.pubpub.org/pub/u957albu/download/pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Canadian Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4379522673.pdf"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1221429143","https://openalex.org/W1546171873","https://openalex.org/W1986589679","https://openalex.org/W1999501996","https://openalex.org/W2002166221","https://openalex.org/W2035254427","https://openalex.org/W2080526086","https://openalex.org/W2107691387","https://openalex.org/W2793098094","https://openalex.org/W3001491734","https://openalex.org/W6646920942"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2978999882","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2153369162","https://openalex.org/W2119369480","https://openalex.org/W2382290278","https://openalex.org/W3141031773"],"abstract_inverted_index":{"Funding":[0],"plays":[1],"a":[2,61],"crucial":[3],"role":[4],"in":[5,68,77],"determining":[6],"the":[7,17,22,33,41,51,56,66,101,111,125,130,143],"success":[8],"of":[9,19,25,35,55,104,113,127,133],"research":[10],"endeavors.Thus,":[11],"it":[12],"is":[13,120,136],"essential":[14],"to":[15,31,64,109,121],"evaluate":[16],"influence":[18],"funding":[20,37,70,78,108,116,128],"on":[21,100,129],"scientific":[23,131],"outcome":[24],"researchers.In":[26],"this":[27],"study,":[28],"we":[29,91,139],"aim":[30],"examine":[32],"impact":[34,52,126],"various":[36],"programs":[38,71],"provided":[39],"by":[40,73],"Natural":[42],"Sciences":[43],"and":[44,49,53,80,85,95,107,138],"Engineering":[45],"Research":[46],"Council":[47],"(NSERC)":[48],"compare":[50],"productivity":[54],"funded":[57],"researchers.We":[58],"first":[59],"conduct":[60],"descriptive":[62],"analysis":[63],"understand":[65],"trends":[67],"different":[69,114],"offered":[72],"NSERC,":[74],"including":[75],"changes":[76],"amounts":[79],"allocation":[81],"across":[82],"provinces,":[83],"universities,":[84],"other":[86],"relevant":[87],"factors":[88],"over":[89],"time.Next,":[90],"utilize":[92],"statistical":[93],"models":[94],"machine":[96],"learning":[97],"algorithms":[98],"trained":[99],"integrated":[102],"database":[103],"researchers'":[105],"publications":[106],"determine":[110],"efficacy":[112],"NSERC":[115],"programs.The":[117],"main":[118],"objective":[119],"gain":[122],"insights":[123],"into":[124],"output":[132],"researchers.The":[134],"study":[135],"ongoing,":[137],"are":[140],"now":[141],"at":[142],"model-building":[144],"stage.":[145]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
