{
  "edges": [
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:101095407:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/101095407"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999994729",
      "id": "claim:funding:101095407:999994729",
      "relation": "participates_in",
      "to": "cordis:101095407"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:101120466:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/101120466"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999994729",
      "id": "claim:funding:101120466:999994729",
      "relation": "participates_in",
      "to": "cordis:101120466"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:676434:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/676434"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999994729",
      "id": "claim:funding:676434:999994729",
      "relation": "participates_in",
      "to": "cordis:676434"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:686282:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/686282"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999994729",
      "id": "claim:funding:686282:999994729",
      "relation": "participates_in",
      "to": "cordis:686282"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:686764:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/686764"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999994729",
      "id": "claim:funding:686764:999994729",
      "relation": "participates_in",
      "to": "cordis:686764"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:753039:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/753039"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999994729",
      "id": "claim:funding:753039:999994729",
      "relation": "participates_in",
      "to": "cordis:753039"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:777435:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/777435"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999994729",
      "id": "claim:funding:777435:999994729",
      "relation": "participates_in",
      "to": "cordis:777435"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:820431:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/820431"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999994729",
      "id": "claim:funding:820431:999994729",
      "relation": "participates_in",
      "to": "cordis:820431"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:840834:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/840834"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999994729",
      "id": "claim:funding:840834:999994729",
      "relation": "participates_in",
      "to": "cordis:840834"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:956832:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/956832"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999994729",
      "id": "claim:funding:956832:999994729",
      "relation": "participates_in",
      "to": "cordis:956832"
    }
  ],
  "entity": {
    "attributes": {
      "aliases": [
        "HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH"
      ],
      "identifiers": [
        {
          "scheme": "cordis-pic",
          "value": "999994729"
        }
      ],
      "identityBasis": "official_identifier",
      "kind": "organization",
      "lanes": [
        "funding"
      ],
      "roles": [
        "funding_participant"
      ]
    },
    "edgeCount": 10,
    "id": "actor:cordis-pic:999994729",
    "indexable": true,
    "label": "HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH",
    "links": [
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/101095407"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/101120466"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/676434"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/686282"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/686764"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/753039"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/777435"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/820431"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/840834"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/956832"
      }
    ],
    "slug": "actor-cordis-pic-999994729-4dcb6f04",
    "sourceRefs": [
      {
        "dataset": "german-ai-innovation-path",
        "field": "official_identifier",
        "recordCount": 10,
        "sourceId": "cordis:101095407:participant:999994729",
        "url": "https://cordis.europa.eu/project/id/101095407"
      }
    ],
    "type": "actor"
  },
  "fingerprint": "sha256:7e7a38f2e4362096fd959a4b8cd559b7f6881671fd89175b7115dcb0f2aae98a",
  "generatedAt": "2026-07-21T08:59:15.288Z",
  "neighbors": [
    {
      "attributes": {
        "acronym": "HT-ADVANCE",
        "code": "101095407",
        "endDate": "2029-02-28",
        "frameworkProgramme": "HORIZON",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "107469000",
          "participantEdgeCount": 2,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 4,
          "citingInstitutionCount": 8,
          "distinctCitingWorkCount": 3,
          "firstObservedCitationDate": "2026-01-01",
          "lastObservedCitationDate": "2026-06-30",
          "observedCitationEdgeCount": 3,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 6,
          "citedOutputCount": 5,
          "firstPublicationDate": "2024-03-01",
          "lastPublicationDate": "2026-02-01",
          "openAccessOutputCount": 5,
          "outputCount": 6,
          "status": "linked",
          "totalCitations": 98,
          "typeCounts": {
            "dataset": 0,
            "other": 0,
            "publication": 6,
            "software": 0
          }
        },
        "startDate": "2023-03-01"
      },
      "description": "Improving treatment efficacy in hypertension by biomarker-guided personalised decision support",
      "edgeCount": 3,
      "id": "cordis:101095407",
      "indexable": true,
      "label": "HT-ADVANCE · Improving treatment efficacy in hypertension by biomarker-guided personalised decision support",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/101095407"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=101095407"
        }
      ],
      "slug": "project-cordis-101095407-ecbddc55",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:101095407",
          "url": "https://cordis.europa.eu/project/id/101095407"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "AiChemist",
        "code": "101120466",
        "endDate": "2027-08-31",
        "frameworkProgramme": "HORIZON",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "91188720",
          "participantEdgeCount": 7,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 37,
          "citedOutputCount": 17,
          "firstPublicationDate": "2024-01-01",
          "lastPublicationDate": "2025-11-03",
          "openAccessOutputCount": 36,
          "outputCount": 37,
          "status": "linked",
          "totalCitations": 167,
          "typeCounts": {
            "dataset": 0,
            "other": 4,
            "publication": 33,
            "software": 0
          }
        },
        "startDate": "2023-09-01"
      },
      "description": "Explainable AI for Molecules - AiChemist",
      "edgeCount": 7,
      "id": "cordis:101120466",
      "indexable": true,
      "label": "AiChemist · Explainable AI for Molecules - AiChemist",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/101120466"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=101120466"
        }
      ],
      "slug": "project-cordis-101120466-fd726dd2",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:101120466",
          "url": "https://cordis.europa.eu/project/id/101120466"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "BIGCHEM",
        "code": "676434",
        "endDate": "2019-12-31",
        "frameworkProgramme": "H2020",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "128069580",
          "participantEdgeCount": 7,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 113,
          "citedOutputCount": 69,
          "firstPublicationDate": "2016-07-28",
          "lastPublicationDate": "2025-04-24",
          "openAccessOutputCount": 109,
          "outputCount": 113,
          "status": "linked",
          "totalCitations": 10012,
          "typeCounts": {
            "dataset": 11,
            "other": 0,
            "publication": 102,
            "software": 0
          }
        },
        "startDate": "2016-01-01"
      },
      "description": "Big Data in Chemistry",
      "edgeCount": 7,
      "id": "cordis:676434",
      "indexable": true,
      "label": "BIGCHEM · Big Data in Chemistry",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/676434"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=676434"
        }
      ],
      "slug": "project-cordis-676434-78cde7fd",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:676434",
          "url": "https://cordis.europa.eu/project/id/676434"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "CanPathPro",
        "code": "686282",
        "endDate": "2021-11-30",
        "frameworkProgramme": "H2020",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "627716057",
          "participantEdgeCount": 4,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 74,
          "citedOutputCount": 53,
          "firstPublicationDate": "2016-01-01",
          "lastPublicationDate": "2023-05-01",
          "openAccessOutputCount": 70,
          "outputCount": 74,
          "status": "linked",
          "totalCitations": 2515,
          "typeCounts": {
            "dataset": 6,
            "other": 1,
            "publication": 58,
            "software": 9
          }
        },
        "startDate": "2016-03-01"
      },
      "description": "Generation of the CanPath prototype - a platform for predictive cancer pathway modeling",
      "edgeCount": 4,
      "id": "cordis:686282",
      "indexable": true,
      "label": "CanPathPro · Generation of the CanPath prototype - a platform for predictive cancer pathway modeling",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/686282"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=686282"
        }
      ],
      "slug": "project-cordis-686282-383b9d40",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:686282",
          "url": "https://cordis.europa.eu/project/id/686282"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "LUMINOUS",
        "code": "686764",
        "endDate": "2020-02-29",
        "frameworkProgramme": "H2020",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "148117750",
          "participantEdgeCount": 3,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 202,
          "citedOutputCount": 153,
          "firstPublicationDate": "2016-01-01",
          "lastPublicationDate": "2025-01-01",
          "openAccessOutputCount": 184,
          "outputCount": 202,
          "status": "linked",
          "totalCitations": 12705,
          "typeCounts": {
            "dataset": 17,
            "other": 13,
            "publication": 171,
            "software": 1
          }
        },
        "startDate": "2016-03-01"
      },
      "description": "Studying, Measuring and Altering Consciousness through information theory in the electrical brain",
      "edgeCount": 3,
      "id": "cordis:686764",
      "indexable": true,
      "label": "LUMINOUS · Studying, Measuring and Altering Consciousness through information theory in the electrical brain",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/686764"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=686764"
        }
      ],
      "slug": "project-cordis-686764-8cb8740d",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:686764",
          "url": "https://cordis.europa.eu/project/id/686764"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "PlateletLiquidBiopsy",
        "code": "753039",
        "endDate": "2019-06-30",
        "frameworkProgramme": "H2020",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "15946080",
          "participantEdgeCount": 1,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 8,
          "citedOutputCount": 7,
          "firstPublicationDate": "2018-02-22",
          "lastPublicationDate": "2020-01-01",
          "openAccessOutputCount": 8,
          "outputCount": 8,
          "status": "linked",
          "totalCitations": 2421,
          "typeCounts": {
            "dataset": 1,
            "other": 0,
            "publication": 7,
            "software": 0
          }
        },
        "startDate": "2017-07-01"
      },
      "description": "Exploring the cellular heterogeneity underlying 'tumor-educated' platelets",
      "edgeCount": 1,
      "id": "cordis:753039",
      "indexable": true,
      "label": "PlateletLiquidBiopsy · Exploring the cellular heterogeneity underlying 'tumor-educated' platelets",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/753039"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=753039"
        }
      ],
      "slug": "project-cordis-753039-b5a0b5fa",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:753039",
          "url": "https://cordis.europa.eu/project/id/753039"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "DEEP-HybridDataCloud",
        "code": "777435",
        "endDate": "2020-04-30",
        "frameworkProgramme": "H2020",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "50125000",
          "participantEdgeCount": 2,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 110,
          "citedOutputCount": 20,
          "firstPublicationDate": "2017-01-01",
          "lastPublicationDate": "2024-11-10",
          "openAccessOutputCount": 102,
          "outputCount": 110,
          "status": "linked",
          "totalCitations": 1255,
          "typeCounts": {
            "dataset": 1,
            "other": 20,
            "publication": 78,
            "software": 11
          }
        },
        "startDate": "2017-11-01"
      },
      "description": "Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud",
      "edgeCount": 2,
      "id": "cordis:777435",
      "indexable": true,
      "label": "DEEP-HybridDataCloud · Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/777435"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=777435"
        }
      ],
      "slug": "project-cordis-777435-d269a481",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:777435",
          "url": "https://cordis.europa.eu/project/id/777435"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "LifeTime",
        "code": "820431",
        "endDate": "2020-06-30",
        "frameworkProgramme": "H2020",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "62375000",
          "participantEdgeCount": 5,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 44,
          "citedOutputCount": 3,
          "firstPublicationDate": "2020-01-01",
          "lastPublicationDate": "2020-11-19",
          "openAccessOutputCount": 44,
          "outputCount": 44,
          "status": "linked",
          "totalCitations": 203,
          "typeCounts": {
            "dataset": 0,
            "other": 0,
            "publication": 44,
            "software": 0
          }
        },
        "startDate": "2019-03-01"
      },
      "description": "Revolutionizing Healthcare by Tracking and Understanding Human Cells during Disease",
      "edgeCount": 5,
      "id": "cordis:820431",
      "indexable": true,
      "label": "LifeTime · Revolutionizing Healthcare by Tracking and Understanding Human Cells during Disease",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/820431"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=820431"
        }
      ],
      "slug": "project-cordis-820431-6b0010c6",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:820431",
          "url": "https://cordis.europa.eu/project/id/820431"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "TFZN",
        "code": "840834",
        "endDate": "2021-11-30",
        "frameworkProgramme": "H2020",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "16280640",
          "participantEdgeCount": 1,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 2,
          "citedOutputCount": 1,
          "firstPublicationDate": "2023-05-01",
          "lastPublicationDate": "2024-09-23",
          "openAccessOutputCount": 2,
          "outputCount": 2,
          "status": "linked",
          "totalCitations": 9,
          "typeCounts": {
            "dataset": 0,
            "other": 0,
            "publication": 2,
            "software": 0
          }
        },
        "startDate": "2019-10-01"
      },
      "description": "Understanding the mechanisms that govern organ morphostasis and repair",
      "edgeCount": 1,
      "id": "cordis:840834",
      "indexable": true,
      "label": "TFZN · Understanding the mechanisms that govern organ morphostasis and repair",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/840834"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=840834"
        }
      ],
      "slug": "project-cordis-840834-9e45dfbb",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:840834",
          "url": "https://cordis.europa.eu/project/id/840834"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "AIDD",
        "code": "956832",
        "endDate": "2025-03-31",
        "frameworkProgramme": "H2020",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "108818384",
          "participantEdgeCount": 6,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 3,
          "citingInstitutionCount": 6,
          "distinctCitingWorkCount": 4,
          "firstObservedCitationDate": "2026-01-01",
          "lastObservedCitationDate": "2026-07-14",
          "observedCitationEdgeCount": 4,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 143,
          "citedOutputCount": 77,
          "firstPublicationDate": "2020-01-01",
          "lastPublicationDate": "2026-01-01",
          "openAccessOutputCount": 137,
          "outputCount": 143,
          "status": "linked",
          "totalCitations": 1529,
          "typeCounts": {
            "dataset": 2,
            "other": 9,
            "publication": 132,
            "software": 0
          }
        },
        "startDate": "2021-01-01"
      },
      "description": "Advanced machine learning for Innovative Drug Discovery",
      "edgeCount": 9,
      "id": "cordis:956832",
      "indexable": true,
      "label": "AIDD · Advanced machine learning for Innovative Drug Discovery",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/956832"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=956832"
        }
      ],
      "slug": "project-cordis-956832-47b7f7f3",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:956832",
          "url": "https://cordis.europa.eu/project/id/956832"
        }
      ],
      "type": "project"
    }
  ],
  "schemaVersion": "ki-evidenznetz.entity.v1"
}
