{
  "edges": [
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:101081193:participant:999464042",
        "url": "https://cordis.europa.eu/project/id/101081193"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999464042",
      "id": "claim:funding:101081193:999464042",
      "relation": "participates_in",
      "to": "cordis:101081193"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:101081276:participant:999464042",
        "url": "https://cordis.europa.eu/project/id/101081276"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999464042",
      "id": "claim:funding:101081276:999464042",
      "relation": "participates_in",
      "to": "cordis:101081276"
    },
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:660616:participant:999464042",
        "url": "https://cordis.europa.eu/project/id/660616"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999464042",
      "id": "claim:funding:660616:999464042",
      "relation": "participates_in",
      "to": "cordis:660616"
    }
  ],
  "entity": {
    "attributes": {
      "aliases": [
        "POTSDAM-INSTITUT FUR KLIMAFOLGENFORSCHUNG EV"
      ],
      "identifiers": [
        {
          "scheme": "cordis-pic",
          "value": "999464042"
        }
      ],
      "identityBasis": "official_identifier",
      "kind": "organization",
      "lanes": [
        "funding"
      ],
      "roles": [
        "funding_participant"
      ]
    },
    "edgeCount": 3,
    "id": "actor:cordis-pic:999464042",
    "indexable": true,
    "label": "POTSDAM-INSTITUT FUR KLIMAFOLGENFORSCHUNG EV",
    "links": [
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/101081193"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/101081276"
      },
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/660616"
      }
    ],
    "slug": "actor-cordis-pic-999464042-78776116",
    "sourceRefs": [
      {
        "dataset": "german-ai-innovation-path",
        "field": "official_identifier",
        "recordCount": 3,
        "sourceId": "cordis:101081193:participant:999464042",
        "url": "https://cordis.europa.eu/project/id/101081193"
      }
    ],
    "type": "actor"
  },
  "fingerprint": "sha256:5743071bfbbbc35fa28e63881d0b0012e3843bf821b7c3813e3224947aefe80d",
  "generatedAt": "2026-07-21T08:59:15.288Z",
  "neighbors": [
    {
      "attributes": {
        "acronym": "OptimESM",
        "code": "101081193",
        "endDate": "2027-12-31",
        "frameworkProgramme": "HORIZON",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "100562500",
          "participantEdgeCount": 1,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 20,
          "citingInstitutionCount": 54,
          "distinctCitingWorkCount": 8,
          "firstObservedCitationDate": "2025-09-22",
          "lastObservedCitationDate": "2026-06-17",
          "observedCitationEdgeCount": 8,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 81,
          "citedOutputCount": 51,
          "firstPublicationDate": "2022-12-23",
          "lastPublicationDate": "2026-03-03",
          "openAccessOutputCount": 78,
          "outputCount": 81,
          "status": "linked",
          "totalCitations": 454,
          "typeCounts": {
            "dataset": 5,
            "other": 3,
            "publication": 72,
            "software": 1
          }
        },
        "startDate": "2023-01-01"
      },
      "description": "Optimal High Resolution Earth System Models for Exploring Future Climate Changes",
      "edgeCount": 5,
      "id": "cordis:101081193",
      "indexable": true,
      "label": "OptimESM · Optimal High Resolution Earth System Models for Exploring Future Climate Changes",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/101081193"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=101081193"
        }
      ],
      "slug": "project-cordis-101081193-f51976d9",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:101081193",
          "url": "https://cordis.europa.eu/project/id/101081193"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "PREVENT",
        "code": "101081276",
        "endDate": "2026-09-30",
        "frameworkProgramme": "HORIZON",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "68575000",
          "participantEdgeCount": 1,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 38,
          "citedOutputCount": 9,
          "firstPublicationDate": "2024-01-01",
          "lastPublicationDate": "2026-01-28",
          "openAccessOutputCount": 30,
          "outputCount": 38,
          "status": "linked",
          "totalCitations": 94,
          "typeCounts": {
            "dataset": 5,
            "other": 3,
            "publication": 30,
            "software": 0
          }
        },
        "startDate": "2023-10-01"
      },
      "description": "IMPROVED PREDICTABILITY OF EXTREMES OVER THE MEDITERRANEAN FROM SEASONAL TO DECADAL TIMESCALES",
      "edgeCount": 3,
      "id": "cordis:101081276",
      "indexable": true,
      "label": "PREVENT · IMPROVED PREDICTABILITY OF EXTREMES OVER THE MEDITERRANEAN FROM SEASONAL TO DECADAL TIMESCALES",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/101081276"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=101081276"
        }
      ],
      "slug": "project-cordis-101081276-d9325a3c",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:101081276",
          "url": "https://cordis.europa.eu/project/id/101081276"
        }
      ],
      "type": "project"
    },
    {
      "attributes": {
        "acronym": "MALCOD",
        "code": "660616",
        "endDate": "2017-08-31",
        "frameworkProgramme": "H2020",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "17146080",
          "participantEdgeCount": 1,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 5,
          "citedOutputCount": 5,
          "firstPublicationDate": "2017-02-01",
          "lastPublicationDate": "2020-01-01",
          "openAccessOutputCount": 4,
          "outputCount": 5,
          "status": "linked",
          "totalCitations": 80,
          "typeCounts": {
            "dataset": 0,
            "other": 0,
            "publication": 5,
            "software": 0
          }
        },
        "startDate": "2015-09-01"
      },
      "description": "Machine Learning for Computational Dynamics",
      "edgeCount": 1,
      "id": "cordis:660616",
      "indexable": true,
      "label": "MALCOD · Machine Learning for Computational Dynamics",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/660616"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=660616"
        }
      ],
      "slug": "project-cordis-660616-1e92977f",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:660616",
          "url": "https://cordis.europa.eu/project/id/660616"
        }
      ],
      "type": "project"
    }
  ],
  "schemaVersion": "ki-evidenznetz.entity.v1"
}
