{
  "id": 57044,
  "title": "Publication plans",
  "url": "/competitions/data-science-bowl-2018/discussion/57044",
  "author_name": "Anne Carpenter",
  "post_date": "2018-05-18T12:58:59.919000",
  "votes": 10,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hello community!\nIt is so exciting to me that this was one of the Top 10 most popular Kaggle competitions of all time based on unique submitters. This is especially notable since image-based competitions require substantial compute resources. And a third of you were new to Kaggle!</p>\n\n<p>An update on our plans: Juan, Allen, Kyle, and I are going to be putting together a paper that evaluates the competition, analyzing the top solutions in more detail and assessing the overall competition results and what we can learn from it as a community. </p>\n\n<p>Any of you are also welcome to publish papers describing your solutions and results in detail; the images themselves are <a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/47864\">CC0</a>; we just ask that you state credit to us in your paper because it was a ridiculous amount of work (ideally, referencing our paper once it comes out in pre-print and eventually published form; but in the meantime citing BBBC as noted in the CC0 link). We already heard from few of the top competitors, who plan to put together papers.</p>",
  "messages": [
    {
      "id": 330272,
      "postDate": "2018-05-18T12:58:59.920Z",
      "content": "<p>Hello community!\nIt is so exciting to me that this was one of the Top 10 most popular Kaggle competitions of all time based on unique submitters. This is especially notable since image-based competitions require substantial compute resources. And a third of you were new to Kaggle!</p>\n\n<p>An update on our plans: Juan, Allen, Kyle, and I are going to be putting together a paper that evaluates the competition, analyzing the top solutions in more detail and assessing the overall competition results and what we can learn from it as a community. </p>\n\n<p>Any of you are also welcome to publish papers describing your solutions and results in detail; the images themselves are <a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/47864\">CC0</a>; we just ask that you state credit to us in your paper because it was a ridiculous amount of work (ideally, referencing our paper once it comes out in pre-print and eventually published form; but in the meantime citing BBBC as noted in the CC0 link). We already heard from few of the top competitors, who plan to put together papers.</p>",
      "rawMarkdown": "Hello community!\nIt is so exciting to me that this was one of the Top 10 most popular Kaggle competitions of all time based on unique submitters. This is especially notable since image-based competitions require substantial compute resources. And a third of you were new to Kaggle!\n\nAn update on our plans: Juan, Allen, Kyle, and I are going to be putting together a paper that evaluates the competition, analyzing the top solutions in more detail and assessing the overall competition results and what we can learn from it as a community. \n\nAny of you are also welcome to publish papers describing your solutions and results in detail; the images themselves are [CC0][1]; we just ask that you state credit to us in your paper because it was a ridiculous amount of work (ideally, referencing our paper once it comes out in pre-print and eventually published form; but in the meantime citing BBBC as noted in the CC0 link). We already heard from few of the top competitors, who plan to put together papers.\n\n\n  [1]: https://www.kaggle.com/c/data-science-bowl-2018/discussion/47864",
      "votes": 10
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "330272": "Hello community!\nIt is so exciting to me that this was one of the Top 10 most popular Kaggle competitions of all time based on unique submitters. This is especially notable since image-based competitions require substantial compute resources. And a third of you were new to Kaggle!\n\nAn update on our plans: Juan, Allen, Kyle, and I are going to be putting together a paper that evaluates the competition, analyzing the top solutions in more detail and assessing the overall competition results and what we can learn from it as a community. \n\nAny of you are also welcome to publish papers describing your solutions and results in detail; the images themselves are [CC0][1]; we just ask that you state credit to us in your paper because it was a ridiculous amount of work (ideally, referencing our paper once it comes out in pre-print and eventually published form; but in the meantime citing BBBC as noted in the CC0 link). We already heard from few of the top competitors, who plan to put together papers.\n\n\n  [1]: https://www.kaggle.com/c/data-science-bowl-2018/discussion/47864"
  }
}