{
  "id": 125681,
  "competitionName": "WiDSWorldWide_GlobalDathon26",
  "title": "WiDS Global Datathon 2026",
  "briefDescription": "Predicting Time-to-Threat for Evacuation Zones Using Survival Analysis",
  "dateEnabled": "2026-01-27T17:59:26.507Z",
  "deadline": "2026-05-01T23:59:00Z",
  "hasLeaderboard": true,
  "leaderboardPercentage": 54,
  "maxDailySubmissions": 3,
  "numScoredSubmissions": 2,
  "hasSolution": true,
  "numPrizes": 9,
  "forumId": 9593751,
  "finalLeaderboardHasBeenVerified": true,
  "dateCreated": "2025-12-09T18:52:35.239917100Z",
  "competitionHostSegmentId": 10,
  "maxTeamSize": 4,
  "enableTeamFiles": true,
  "teamFileDeadline": "2026-07-31T00:00:00Z",
  "totalSolutionRows": 95,
  "teamMergerExplicitDeadline": "2026-04-24T23:59:00Z",
  "prohibitNewEntrantsExplicitDeadline": "2026-04-24T23:59:00Z",
  "organizationId": 3800,
  "hasCoverImageUrl": true,
  "showPrivateLeaderboard": true,
  "hasScripts": true,
  "totalTeams": 1754,
  "totalCompetitors": 2579,
  "totalSubmissions": 21448,
  "rulesRequired": true,
  "privateLeaderboardReleaseDate": "2026-05-07T07:00:00Z",
  "rowIdColumnName": "event_id",
  "evaluationAlgorithm": {
    "id": 5769,
    "name": "wildfire_time_to_hit_metric",
    "isMax": true,
    "environmentRenderType": "ENVIRONMENT_RENDER_TYPE_JSON",
    "kernelId": 107559884,
    "latestCompetitionMetricVersionId": 57883,
    "state": "AVAILABLE"
  },
  "categories": [
    {
      "name": "custom metric",
      "description": "This competition's metric is defined under the 'Evaluation' tab",
      "displayName": "Custom Metric"
    }
  ],
  "organization": {
    "slug": "womenindatascience",
    "name": "Women in Data Science",
    "thumbnailImageUrl": "https://storage.googleapis.com/kaggle-organizations/3800/thumbnail.jpeg",
    "profileUrl": "/organizations/womenindatascience"
  },
  "launched": true,
  "createdByUserId": 19579895,
  "enableUserEmailShare": true,
  "license": {
    "id": 23,
    "name": "Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)",
    "url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
    "agreementRequired": false
  },
  "hostName": "Women in Data Science",
  "scoreTruncationNumDecimals": 5,
  "locked": true,
  "totalJoinedUsers": 4540,
  "submissionSizeLimitMb": 20480,
  "reward": {
    "id": "USD",
    "quantity": 25000
  },
  "fileBasedSubmissions": true
}