[{"data":1,"prerenderedAt":195},["ShallowReactive",2],{"ki-evidenznetz-dossier-project-cordis-101177579-ba19a77d":3},{"edges":4,"entity":39,"fingerprint":78,"generatedAt":79,"neighbors":80,"schemaVersion":194},[5,16,24,29,34],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-innovation-path","cordis_project_code_and_participant_pic","cordis:101177579:participant:999502357","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101177579","exact","actor:cordis-pic:999502357","claim:funding:101177579:999502357","participates_in","cordis:101177579",{"evidence":17,"evidenceClass":11,"from":15,"id":21,"relation":22,"to":23},{"dataset":18,"field":19,"sourceId":20,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","101177579:output:24442d57c12332026e6c1f24","edge:project-output:101177579:24442d57c12332026e6c1f24","has_observed_output","output:24442d57c12332026e6c1f24",{"evidence":25,"evidenceClass":11,"from":15,"id":27,"relation":22,"to":28},{"dataset":18,"field":19,"sourceId":26,"url":10},"101177579:output:610c859549a97a7101bf790d","edge:project-output:101177579:610c859549a97a7101bf790d","output:610c859549a97a7101bf790d",{"evidence":30,"evidenceClass":11,"from":15,"id":32,"relation":22,"to":33},{"dataset":18,"field":19,"sourceId":31,"url":10},"101177579:output:6be61550307f79b823546c8d","edge:project-output:101177579:6be61550307f79b823546c8d","output:6be61550307f79b823546c8d",{"evidence":35,"evidenceClass":11,"from":15,"id":37,"relation":22,"to":38},{"dataset":18,"field":19,"sourceId":36,"url":10},"101177579:output:7d46f91f5deba02905302a90","edge:project-output:101177579:7d46f91f5deba02905302a90","output:7d46f91f5deba02905302a90",{"attributes":40,"description":61,"edgeCount":62,"id":15,"indexable":63,"label":64,"links":65,"slug":73,"sourceRefs":74,"type":77},{"acronym":41,"code":42,"endDate":43,"frameworkProgramme":44,"funding":45,"knowledgeFlow":50,"research":54,"startDate":60},"FORSEE","101177579","2028-01-31","HORIZON",{"currency":46,"germanNetEuContributionCents":47,"participantEdgeCount":48,"status":49},"EUR","39817250",1,"linked",{"citingCountryCount":51,"citingInstitutionCount":51,"distinctCitingWorkCount":51,"firstObservedCitationDate":52,"lastObservedCitationDate":52,"observedCitationEdgeCount":51,"status":53},0,null,"bounded_observation",{"citationDataOutputCount":55,"citedOutputCount":51,"firstPublicationDate":56,"lastPublicationDate":57,"openAccessOutputCount":55,"outputCount":55,"status":49,"totalCitations":51,"typeCounts":58},4,"2026-01-19","2026-01-28",{"dataset":51,"other":51,"publication":59,"software":48},3,"2025-02-01","Forging Successful AI Applications for European Economy and Society: FORSEE",5,true,"FORSEE · Forging Successful AI Applications for European Economy and Society: FORSEE",[66,69],{"kind":67,"label":68,"url":10},"official_source","CORDIS",{"kind":70,"label":71,"url":72},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101177579","project-cordis-101177579-ba19a77d",[75],{"dataset":7,"field":76,"sourceId":15,"url":10},"cordis_project_id","project","sha256:53994ae45393b4fe98abdbe43f74d24f7e67cd38d72941eea888b8f1e24432db","2026-07-21T08:59:15.288Z",[81,102,129,151,172],{"attributes":82,"edgeCount":48,"id":12,"indexable":63,"label":84,"links":95,"slug":98,"sourceRefs":99,"type":101},{"aliases":83,"identifiers":85,"identityBasis":89,"kind":90,"lanes":91,"roles":93},[84],"WISSENSCHAFTSZENTRUM BERLIN FUR SOZIALFORSCHUNG GGMBH",[86],{"scheme":87,"value":88},"cordis-pic","999502357","official_identifier","organization",[92],"funding",[94],"funding_participant",[96],{"kind":97,"label":7,"url":10},"evidence_source","actor-cordis-pic-999502357-767eb278",[100],{"dataset":7,"field":89,"recordCount":48,"sourceId":9,"url":10},"actor",{"attributes":103,"edgeCount":48,"id":23,"indexable":63,"label":112,"links":113,"slug":124,"sourceRefs":125,"type":128},{"citationCount":51,"isOpenAccess":63,"openAireId":104,"outputType":105,"persistentIdentifiers":106,"publicationDate":56},"doi_dedup___::25291135676fc2fcc18a20f81e6cbbd4","software",[107,110],{"scheme":108,"value":109},"doi","10.5281\u002Fzenodo.18303112",{"scheme":108,"value":111},"10.5281\u002Fzenodo.18303113","DelaramGlp\u002Fforsee_topicmodelling: FORSEE topic modelling source code and results",[114,117,121],{"kind":67,"label":115,"url":116},"OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A25291135676fc2fcc18a20f81e6cbbd4",{"kind":118,"label":119,"url":120},"persistent_identifier","DOI 10.5281\u002Fzenodo.18303112","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18303112",{"kind":118,"label":122,"url":123},"DOI 10.5281\u002Fzenodo.18303113","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18303113","output-24442d57c12332026e6c1f24-7d37bc84",[126],{"dataset":18,"field":127,"sourceId":104,"url":116},"openaire_research_product_id","output",{"attributes":130,"edgeCount":48,"id":28,"indexable":63,"label":138,"links":139,"slug":148,"sourceRefs":149,"type":128},{"citationCount":51,"isOpenAccess":63,"openAireId":131,"outputType":132,"persistentIdentifiers":133,"publicationDate":57},"doi_dedup___::b0000d5339324bf22f8455028499d33d","publication",[134,136],{"scheme":108,"value":135},"10.5281\u002Fzenodo.18404142",{"scheme":108,"value":137},"10.5281\u002Fzenodo.18404143","D2.1 AI Success Criteria by National Standards and ISO Regulatory Bodies",[140,142,145],{"kind":67,"label":115,"url":141},"https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3Ab0000d5339324bf22f8455028499d33d",{"kind":118,"label":143,"url":144},"DOI 10.5281\u002Fzenodo.18404142","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18404142",{"kind":118,"label":146,"url":147},"DOI 10.5281\u002Fzenodo.18404143","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18404143","output-610c859549a97a7101bf790d-2634a5a7",[150],{"dataset":18,"field":127,"sourceId":131,"url":141},{"attributes":152,"edgeCount":48,"id":33,"indexable":63,"label":159,"links":160,"slug":169,"sourceRefs":170,"type":128},{"citationCount":51,"isOpenAccess":63,"openAireId":153,"outputType":132,"persistentIdentifiers":154,"publicationDate":57},"doi_dedup___::87e7024cc569e729973285380fb03bf5",[155,157],{"scheme":108,"value":156},"10.5281\u002Fzenodo.18404226",{"scheme":108,"value":158},"10.5281\u002Fzenodo.18404227","D2.3 AI Success Criteria Set by ACM and IEEE",[161,163,166],{"kind":67,"label":115,"url":162},"https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A87e7024cc569e729973285380fb03bf5",{"kind":118,"label":164,"url":165},"DOI 10.5281\u002Fzenodo.18404226","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18404226",{"kind":118,"label":167,"url":168},"DOI 10.5281\u002Fzenodo.18404227","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18404227","output-6be61550307f79b823546c8d-be9ec93c",[171],{"dataset":18,"field":127,"sourceId":153,"url":162},{"attributes":173,"edgeCount":48,"id":38,"indexable":63,"label":181,"links":182,"slug":191,"sourceRefs":192,"type":128},{"citationCount":51,"isOpenAccess":63,"openAireId":174,"outputType":132,"persistentIdentifiers":175,"publicationDate":180},"doi_dedup___::890a8bc9213b20ed3d5c9841fcfc2bae",[176,178],{"scheme":108,"value":177},"10.5281\u002Fzenodo.18352573",{"scheme":108,"value":179},"10.5281\u002Fzenodo.18352574","2026-01-23","D2.2 Evolution of Supranational Institutional Success Criteria in Post-2018 AI Guidelines",[183,185,188],{"kind":67,"label":115,"url":184},"https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A890a8bc9213b20ed3d5c9841fcfc2bae",{"kind":118,"label":186,"url":187},"DOI 10.5281\u002Fzenodo.18352573","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18352573",{"kind":118,"label":189,"url":190},"DOI 10.5281\u002Fzenodo.18352574","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.18352574","output-7d46f91f5deba02905302a90-6855e2b8",[193],{"dataset":18,"field":127,"sourceId":174,"url":184},"ki-evidenznetz.entity.v1",1784624730417]