{
  "id": 417677,
  "title": "Follow-up questions on evaluation/ aims of essays/ target audience",
  "url": "/competitions/2023-kaggle-ai-report/discussion/417677",
  "author_name": "",
  "post_date": "2023-06-16T17:24:45.287749600Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Dear organizers,</p>\n<p>I have tried to read through as many discussion Q/A threads as possible; pardon me if I missed the answers. </p>\n<p>1) Any format but only in English is permitted. <strong>How about word limit?</strong></p>\n<p>2) <strong>“Write a review article on one of these topics”</strong> — Is this a complete summary of participants’ objective? (would additional objectives achieved in the essay be evaluated as out of scope?)</p>\n<p>3) Could you provide us more details on what garner higher/ lower scores? Examples from my end:</p>\n<ul>\n<li><p>a) What if an essay did more than a review? Could be open to interpretation whether the writer went out of scope? (E.g. additionally add a commentary following the review）</p></li>\n<li><p>b) What about diversity of content in the essay? Would breadth be more important than depth in this challenge? I.e. Essays too narrowed on a sub subtopic will receive lower score than “standard submission”?</p></li>\n<li><p>c) The evaluation criteria currently does not discuss comprehensiveness/ timeliness of articles surveyed. What if essays covered more than two years due to relevance/ needs of topic?</p></li>\n</ul>\n<p>4) <strong>Target audience</strong>: Since the entire Kaggle community includes non-experts, should we write essay so that it is accessible to non-domain experts? </p>\n<ul>\n<li>I.e. we should write to our peer evaluators or write for the experts panel? </li>\n<li>I am wondering if we should account for the diversity of target audience, and to be inclusive, should we write to educate the (future) readers entering the field who may have no knowledge on the topic, e.g. teach future users about Kaggle's features? </li>\n<li>Or, we should write strictly to knowledgeable expert panel who are evaluating the essays  so we should omit the “basics”?</li>\n</ul>\n<p>Thanks a lot!</p>",
  "messages": [
    {
      "id": "2305423",
      "postDate": "06/16/2023 17:24:45",
      "content": "<p>Dear organizers,</p>\n<p>I have tried to read through as many discussion Q/A threads as possible; pardon me if I missed the answers. </p>\n<p>1) Any format but only in English is permitted. <strong>How about word limit?</strong></p>\n<p>2) <strong>“Write a review article on one of these topics”</strong> — Is this a complete summary of participants’ objective? (would additional objectives achieved in the essay be evaluated as out of scope?)</p>\n<p>3) Could you provide us more details on what garner higher/ lower scores? Examples from my end:</p>\n<ul>\n<li><p>a) What if an essay did more than a review? Could be open to interpretation whether the writer went out of scope? (E.g. additionally add a commentary following the review）</p></li>\n<li><p>b) What about diversity of content in the essay? Would breadth be more important than depth in this challenge? I.e. Essays too narrowed on a sub subtopic will receive lower score than “standard submission”?</p></li>\n<li><p>c) The evaluation criteria currently does not discuss comprehensiveness/ timeliness of articles surveyed. What if essays covered more than two years due to relevance/ needs of topic?</p></li>\n</ul>\n<p>4) <strong>Target audience</strong>: Since the entire Kaggle community includes non-experts, should we write essay so that it is accessible to non-domain experts? </p>\n<ul>\n<li>I.e. we should write to our peer evaluators or write for the experts panel? </li>\n<li>I am wondering if we should account for the diversity of target audience, and to be inclusive, should we write to educate the (future) readers entering the field who may have no knowledge on the topic, e.g. teach future users about Kaggle's features? </li>\n<li>Or, we should write strictly to knowledgeable expert panel who are evaluating the essays  so we should omit the “basics”?</li>\n</ul>\n<p>Thanks a lot!</p>",
      "rawMarkdown": "Dear organizers,\n\nI have tried to read through as many discussion Q/A threads as possible; pardon me if I missed the answers. \n\n1) Any format but only in English is permitted. **How about word limit?**\n\n2) **“Write a review article on one of these topics”** — Is this a complete summary of participants’ objective? (would additional objectives achieved in the essay be evaluated as out of scope?)\n\n3) Could you provide us more details on what garner higher/ lower scores? Examples from my end:\n\n- a) What if an essay did more than a review? Could be open to interpretation whether the writer went out of scope? (E.g. additionally add a commentary following the review）\n\n- b) What about diversity of content in the essay? Would breadth be more important than depth in this challenge? I.e. Essays too narrowed on a sub subtopic will receive lower score than “standard submission”?\n\n- c) The evaluation criteria currently does not discuss comprehensiveness/ timeliness of articles surveyed. What if essays covered more than two years due to relevance/ needs of topic?\n\n4) **Target audience**: Since the entire Kaggle community includes non-experts, should we write essay so that it is accessible to non-domain experts? \n- I.e. we should write to our peer evaluators or write for the experts panel? \n- I am wondering if we should account for the diversity of target audience, and to be inclusive, should we write to educate the (future) readers entering the field who may have no knowledge on the topic, e.g. teach future users about Kaggle's features? \n- Or, we should write strictly to knowledgeable expert panel who are evaluating the essays  so we should omit the “basics”?\n\nThanks a lot!",
      "votes": null
    },
    {
      "id": "2310790",
      "postDate": "06/20/2023 15:53:49",
      "content": "<p>See <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084\" target=\"_blank\">pinned Q&amp;A thread</a> for answers to common questions.</p>\n<p>Q1: Is there a word limit?</p>\n<ul>\n<li>There is not a strict word limit (although the evaluation rubric does encourage you to be \"concise\"). Recently a <a href=\"https://www.kaggle.com/competitions/nfl-big-data-bowl-2023/overview/evaluation\" target=\"_blank\">similar competition</a> had a 2000 word limit, which seems consistent with <a href=\"https://www.science.org/content/page/science-information-authors\" target=\"_blank\">common recommendations from journals</a>. I think much shorter essays could also score very well against our <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">evaluation rubric</a>, though. This is a bit open-ended.</li>\n<li>Past discussion: <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409661\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409661</a></li>\n</ul>\n<p>Q2: Is \"write a review article\" a complete summary of the objective?</p>\n<ul>\n<li>No, but it is not too far off.  The objective is to complete all items as described in the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">eligibility checklist</a>, and to score as highly as possible on the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">essay grading rubric</a>, by whatever means you find to be most effective (in compliance with the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/rules\" target=\"_blank\">competition rules</a>). </li>\n</ul>\n<p>Q3A: how are essays graded?</p>\n<ul>\n<li>Essays are grading according to the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">eligibility checklist</a> and the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">essay grading rubric</a> only. The objective is to complete all items as described in the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">eligibility checklist</a>, and to score as highly as possible on the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">essay grading rubric</a>, by whatever means you find to be most effective (in compliance with the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/rules\" target=\"_blank\">competition rules</a>). </li>\n</ul>\n<p>Q3B: does breadth/depth impact the score?</p>\n<ul>\n<li>An essay that comprehensively summarizes the recent advancements in a given area will likely score higher than an essay that has a comparatively narrow focus. Ultimately the goal is to respond to one of the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/description\" target=\"_blank\">7x prompts</a> in a way that will score highest against the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">evaluation rubric</a>, and the prompt begins with \"what the ML community has learned over the past 2 years of working with…\", which is a fairly broad mandate.</li>\n<li>Past discussion <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409958\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409958</a> and <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084</a></li>\n</ul>\n<p>Q3C: how strict is the \"past two years\" time focus?</p>\n<ul>\n<li>Ultimately the goal is to respond to one of the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/description\" target=\"_blank\">7x prompts</a> in a way that will score highest against the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">evaluation rubric</a>, and the prompt begins with \"what the ML community has learned over the past 2 years of working with…\". You are welcome to discuss a much longer timescale (this can make a really strong introduction section I think), but we recommend <strong>focusing</strong> your essay on the most exciting <strong>recent</strong> advances.</li>\n<li>Past discussion: <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084#2283966\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084#2283966</a> and <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409717#2256576\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409717#2256576</a></li>\n</ul>\n<p>Q4: should the essay be written in a manner that is accessible to non-experts?</p>\n<ul>\n<li>A well-written essay will provide sufficient &amp; accessible background information such that the main essay can be understood by a non-expert, with the assistance of the provided references. See <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation</a> for more detail.</li>\n</ul>\n<p>(For future reference, there is a pinned <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084\" target=\"_blank\">Question &amp; Answer thread</a> where you should find the fastest response times for questions directed to the Kaggle Team.)</p>",
      "rawMarkdown": "See [pinned Q&A thread](https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084) for answers to common questions.\n\nQ1: Is there a word limit?\n - There is not a strict word limit (although the evaluation rubric does encourage you to be \"concise\"). Recently a [similar competition](https://www.kaggle.com/competitions/nfl-big-data-bowl-2023/overview/evaluation) had a 2000 word limit, which seems consistent with [common recommendations from journals](https://www.science.org/content/page/science-information-authors). I think much shorter essays could also score very well against our [evaluation rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), though. This is a bit open-ended.\n - Past discussion: https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409661\n\nQ2: Is \"write a review article\" a complete summary of the objective?\n - No, but it is not too far off.  The objective is to complete all items as described in the [eligibility checklist](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), and to score as highly as possible on the [essay grading rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), by whatever means you find to be most effective (in compliance with the [competition rules](https://www.kaggle.com/competitions/2023-kaggle-ai-report/rules)). \n\nQ3A: how are essays graded?\n - Essays are grading according to the [eligibility checklist](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation) and the [essay grading rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation) only. The objective is to complete all items as described in the [eligibility checklist](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), and to score as highly as possible on the [essay grading rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), by whatever means you find to be most effective (in compliance with the [competition rules](https://www.kaggle.com/competitions/2023-kaggle-ai-report/rules)). \n\nQ3B: does breadth/depth impact the score?\n - An essay that comprehensively summarizes the recent advancements in a given area will likely score higher than an essay that has a comparatively narrow focus. Ultimately the goal is to respond to one of the [7x prompts](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/description) in a way that will score highest against the [evaluation rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), and the prompt begins with \"what the ML community has learned over the past 2 years of working with...\", which is a fairly broad mandate.\n - Past discussion https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409958 and https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084\n \nQ3C: how strict is the \"past two years\" time focus?\n - Ultimately the goal is to respond to one of the [7x prompts](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/description) in a way that will score highest against the [evaluation rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), and the prompt begins with \"what the ML community has learned over the past 2 years of working with...\". You are welcome to discuss a much longer timescale (this can make a really strong introduction section I think), but we recommend **focusing** your essay on the most exciting **recent** advances.\n - Past discussion: https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084#2283966 and https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409717#2256576\n\nQ4: should the essay be written in a manner that is accessible to non-experts?\n - A well-written essay will provide sufficient & accessible background information such that the main essay can be understood by a non-expert, with the assistance of the provided references. See https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation for more detail.\n\n(For future reference, there is a pinned [Question & Answer thread](https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084) where you should find the fastest response times for questions directed to the Kaggle Team.)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2310790,
      "author_name": "paultimothymooney",
      "author_url": "",
      "post_date": "06/20/2023 15:53:49",
      "content": "<p>See <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084\" target=\"_blank\">pinned Q&amp;A thread</a> for answers to common questions.</p>\n<p>Q1: Is there a word limit?</p>\n<ul>\n<li>There is not a strict word limit (although the evaluation rubric does encourage you to be \"concise\"). Recently a <a href=\"https://www.kaggle.com/competitions/nfl-big-data-bowl-2023/overview/evaluation\" target=\"_blank\">similar competition</a> had a 2000 word limit, which seems consistent with <a href=\"https://www.science.org/content/page/science-information-authors\" target=\"_blank\">common recommendations from journals</a>. I think much shorter essays could also score very well against our <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">evaluation rubric</a>, though. This is a bit open-ended.</li>\n<li>Past discussion: <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409661\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409661</a></li>\n</ul>\n<p>Q2: Is \"write a review article\" a complete summary of the objective?</p>\n<ul>\n<li>No, but it is not too far off.  The objective is to complete all items as described in the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">eligibility checklist</a>, and to score as highly as possible on the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">essay grading rubric</a>, by whatever means you find to be most effective (in compliance with the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/rules\" target=\"_blank\">competition rules</a>). </li>\n</ul>\n<p>Q3A: how are essays graded?</p>\n<ul>\n<li>Essays are grading according to the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">eligibility checklist</a> and the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">essay grading rubric</a> only. The objective is to complete all items as described in the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">eligibility checklist</a>, and to score as highly as possible on the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">essay grading rubric</a>, by whatever means you find to be most effective (in compliance with the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/rules\" target=\"_blank\">competition rules</a>). </li>\n</ul>\n<p>Q3B: does breadth/depth impact the score?</p>\n<ul>\n<li>An essay that comprehensively summarizes the recent advancements in a given area will likely score higher than an essay that has a comparatively narrow focus. Ultimately the goal is to respond to one of the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/description\" target=\"_blank\">7x prompts</a> in a way that will score highest against the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">evaluation rubric</a>, and the prompt begins with \"what the ML community has learned over the past 2 years of working with…\", which is a fairly broad mandate.</li>\n<li>Past discussion <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409958\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409958</a> and <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084</a></li>\n</ul>\n<p>Q3C: how strict is the \"past two years\" time focus?</p>\n<ul>\n<li>Ultimately the goal is to respond to one of the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/description\" target=\"_blank\">7x prompts</a> in a way that will score highest against the <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">evaluation rubric</a>, and the prompt begins with \"what the ML community has learned over the past 2 years of working with…\". You are welcome to discuss a much longer timescale (this can make a really strong introduction section I think), but we recommend <strong>focusing</strong> your essay on the most exciting <strong>recent</strong> advances.</li>\n<li>Past discussion: <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084#2283966\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084#2283966</a> and <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409717#2256576\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409717#2256576</a></li>\n</ul>\n<p>Q4: should the essay be written in a manner that is accessible to non-experts?</p>\n<ul>\n<li>A well-written essay will provide sufficient &amp; accessible background information such that the main essay can be understood by a non-expert, with the assistance of the provided references. See <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation\" target=\"_blank\">https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation</a> for more detail.</li>\n</ul>\n<p>(For future reference, there is a pinned <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084\" target=\"_blank\">Question &amp; Answer thread</a> where you should find the fastest response times for questions directed to the Kaggle Team.)</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2305423": "Dear organizers,\n\nI have tried to read through as many discussion Q/A threads as possible; pardon me if I missed the answers. \n\n1) Any format but only in English is permitted. **How about word limit?**\n\n2) **“Write a review article on one of these topics”** — Is this a complete summary of participants’ objective? (would additional objectives achieved in the essay be evaluated as out of scope?)\n\n3) Could you provide us more details on what garner higher/ lower scores? Examples from my end:\n\n- a) What if an essay did more than a review? Could be open to interpretation whether the writer went out of scope? (E.g. additionally add a commentary following the review）\n\n- b) What about diversity of content in the essay? Would breadth be more important than depth in this challenge? I.e. Essays too narrowed on a sub subtopic will receive lower score than “standard submission”?\n\n- c) The evaluation criteria currently does not discuss comprehensiveness/ timeliness of articles surveyed. What if essays covered more than two years due to relevance/ needs of topic?\n\n4) **Target audience**: Since the entire Kaggle community includes non-experts, should we write essay so that it is accessible to non-domain experts? \n- I.e. we should write to our peer evaluators or write for the experts panel? \n- I am wondering if we should account for the diversity of target audience, and to be inclusive, should we write to educate the (future) readers entering the field who may have no knowledge on the topic, e.g. teach future users about Kaggle's features? \n- Or, we should write strictly to knowledgeable expert panel who are evaluating the essays  so we should omit the “basics”?\n\nThanks a lot!",
    "2310790": "See [pinned Q&A thread](https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084) for answers to common questions.\n\nQ1: Is there a word limit?\n - There is not a strict word limit (although the evaluation rubric does encourage you to be \"concise\"). Recently a [similar competition](https://www.kaggle.com/competitions/nfl-big-data-bowl-2023/overview/evaluation) had a 2000 word limit, which seems consistent with [common recommendations from journals](https://www.science.org/content/page/science-information-authors). I think much shorter essays could also score very well against our [evaluation rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), though. This is a bit open-ended.\n - Past discussion: https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409661\n\nQ2: Is \"write a review article\" a complete summary of the objective?\n - No, but it is not too far off.  The objective is to complete all items as described in the [eligibility checklist](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), and to score as highly as possible on the [essay grading rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), by whatever means you find to be most effective (in compliance with the [competition rules](https://www.kaggle.com/competitions/2023-kaggle-ai-report/rules)). \n\nQ3A: how are essays graded?\n - Essays are grading according to the [eligibility checklist](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation) and the [essay grading rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation) only. The objective is to complete all items as described in the [eligibility checklist](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), and to score as highly as possible on the [essay grading rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), by whatever means you find to be most effective (in compliance with the [competition rules](https://www.kaggle.com/competitions/2023-kaggle-ai-report/rules)). \n\nQ3B: does breadth/depth impact the score?\n - An essay that comprehensively summarizes the recent advancements in a given area will likely score higher than an essay that has a comparatively narrow focus. Ultimately the goal is to respond to one of the [7x prompts](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/description) in a way that will score highest against the [evaluation rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), and the prompt begins with \"what the ML community has learned over the past 2 years of working with...\", which is a fairly broad mandate.\n - Past discussion https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409958 and https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084\n \nQ3C: how strict is the \"past two years\" time focus?\n - Ultimately the goal is to respond to one of the [7x prompts](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/description) in a way that will score highest against the [evaluation rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), and the prompt begins with \"what the ML community has learned over the past 2 years of working with...\". You are welcome to discuss a much longer timescale (this can make a really strong introduction section I think), but we recommend **focusing** your essay on the most exciting **recent** advances.\n - Past discussion: https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084#2283966 and https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409717#2256576\n\nQ4: should the essay be written in a manner that is accessible to non-experts?\n - A well-written essay will provide sufficient & accessible background information such that the main essay can be understood by a non-expert, with the assistance of the provided references. See https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation for more detail.\n\n(For future reference, there is a pinned [Question & Answer thread](https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084) where you should find the fastest response times for questions directed to the Kaggle Team.)"
  },
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}