{
  "id": 141822,
  "title": "Congratulations!",
  "url": "/competitions/ds4g-environmental-insights-explorer/discussion/141822",
  "author_name": "",
  "post_date": "2020-04-07T15:53:29.775740800Z",
  "votes": 27,
  "comment_count": 10,
  "views": 0,
  "content": "<h1>Congratulations!</h1>\n\n<p><br></p>\n\n<p>Congratulations everyone! After evaluating more than one hundred public notebooks, we are excited to announce the final winners of the DS4G: Environmental Insights Explorer challenge! We are truly grateful for everyone who contributed public notebooks. Thank you all for your hard work. Without further ado, the winners of the competition are:<br><br></p>\n\n<p><strong>First Prize</strong>: $10,000 - <a href=\"https://www.kaggle.com/katemelianova/ds4g-spatial-panel-data-modeling\">DS4G: Spatial Panel Data Modeling</a>. <br>\n - @katemelianova and @artvolgin</p>\n\n<p>An excellent submission with comprehensive correction and accounting for confounding factors, with a well reasoned and explained solution and recommendation.\n<br><br></p>\n\n<p><strong>Second Prize</strong>: $7,500 - <a href=\"https://www.kaggle.com/niyamatalmass/1-introduction-to-the-solution-of-dsg-eie\">Introduction to the solution of DSG: Environmental Insights Explorer</a>. <br>\n - @niyamatalmass </p>\n\n<p>This submission did great work with the data, visualizations, methodology, evaluation, and use of the Earth Engine API. It proved that the method is generalizable, even though it was only focused on a single plant. \n <br><br></p>\n\n<p><strong>Third Prize</strong>: $5,000 - <a href=\"https://www.kaggle.com/chrisarderne/ds4g-an-analytical-approach-to-no2-emissions\">DS4G: An analytical approach to NO2 emissions</a>. <br>\n - @chrisarderne </p>\n\n<p>This submission had a well reasoned and explained methodology, which used different datasets and assumptions to generalize a solution, as well as discussion for how the model can be improved. <br>\n <br><br></p>\n\n<p><strong>Fourth Prize</strong>: $2,500 - <a href=\"https://www.kaggle.com/vlarmet/an-r-notebook-for-no2-emission-factor\">An R notebook for NO2 emission factor</a>. <br>\n - @vlarmet </p>\n\n<p>Great work and analysis of the method in this submission. It used different datasets to improve the results, especially the nice use of OpenStreetMap data for industrial areas and transport, as well as the good wind analysis.\n <br><br></p>\n\n<p>We will contact the dataset authors with instructions on how to collect their payments shortly.\nThank you everyone for contributing public notebooks!</p>",
  "messages": [
    {
      "id": "800651",
      "postDate": "04/07/2020 15:53:29",
      "content": "<h1>Congratulations!</h1>\n\n<p><br></p>\n\n<p>Congratulations everyone! After evaluating more than one hundred public notebooks, we are excited to announce the final winners of the DS4G: Environmental Insights Explorer challenge! We are truly grateful for everyone who contributed public notebooks. Thank you all for your hard work. Without further ado, the winners of the competition are:<br><br></p>\n\n<p><strong>First Prize</strong>: $10,000 - <a href=\"https://www.kaggle.com/katemelianova/ds4g-spatial-panel-data-modeling\">DS4G: Spatial Panel Data Modeling</a>. <br>\n - @katemelianova and @artvolgin</p>\n\n<p>An excellent submission with comprehensive correction and accounting for confounding factors, with a well reasoned and explained solution and recommendation.\n<br><br></p>\n\n<p><strong>Second Prize</strong>: $7,500 - <a href=\"https://www.kaggle.com/niyamatalmass/1-introduction-to-the-solution-of-dsg-eie\">Introduction to the solution of DSG: Environmental Insights Explorer</a>. <br>\n - @niyamatalmass </p>\n\n<p>This submission did great work with the data, visualizations, methodology, evaluation, and use of the Earth Engine API. It proved that the method is generalizable, even though it was only focused on a single plant. \n <br><br></p>\n\n<p><strong>Third Prize</strong>: $5,000 - <a href=\"https://www.kaggle.com/chrisarderne/ds4g-an-analytical-approach-to-no2-emissions\">DS4G: An analytical approach to NO2 emissions</a>. <br>\n - @chrisarderne </p>\n\n<p>This submission had a well reasoned and explained methodology, which used different datasets and assumptions to generalize a solution, as well as discussion for how the model can be improved. <br>\n <br><br></p>\n\n<p><strong>Fourth Prize</strong>: $2,500 - <a href=\"https://www.kaggle.com/vlarmet/an-r-notebook-for-no2-emission-factor\">An R notebook for NO2 emission factor</a>. <br>\n - @vlarmet </p>\n\n<p>Great work and analysis of the method in this submission. It used different datasets to improve the results, especially the nice use of OpenStreetMap data for industrial areas and transport, as well as the good wind analysis.\n <br><br></p>\n\n<p>We will contact the dataset authors with instructions on how to collect their payments shortly.\nThank you everyone for contributing public notebooks!</p>",
      "rawMarkdown": "# Congratulations!\n\n<br>\n\nCongratulations everyone! After evaluating more than one hundred public notebooks, we are excited to announce the final winners of the DS4G: Environmental Insights Explorer challenge! We are truly grateful for everyone who contributed public notebooks. Thank you all for your hard work. Without further ado, the winners of the competition are:<br><br>\n\n\n**First Prize**: $10,000 - [DS4G: Spatial Panel Data Modeling](https://www.kaggle.com/katemelianova/ds4g-spatial-panel-data-modeling).  \n - @katemelianova and @artvolgin\n\nAn excellent submission with comprehensive correction and accounting for confounding factors, with a well reasoned and explained solution and recommendation.\n<br><br>\n\n\n**Second Prize**: $7,500 - [Introduction to the solution of DSG: Environmental Insights Explorer](https://www.kaggle.com/niyamatalmass/1-introduction-to-the-solution-of-dsg-eie).  \n - @niyamatalmass \n\nThis submission did great work with the data, visualizations, methodology, evaluation, and use of the Earth Engine API. It proved that the method is generalizable, even though it was only focused on a single plant. \n <br><br>\n\n\n**Third Prize**: $5,000 - [DS4G: An analytical approach to NO2 emissions](https://www.kaggle.com/chrisarderne/ds4g-an-analytical-approach-to-no2-emissions).  \n - @chrisarderne \n\nThis submission had a well reasoned and explained methodology, which used different datasets and assumptions to generalize a solution, as well as discussion for how the model can be improved.  \n <br><br>\n\n\n**Fourth Prize**: $2,500 - [An R notebook for NO2 emission factor](https://www.kaggle.com/vlarmet/an-r-notebook-for-no2-emission-factor).  \n - @vlarmet \n\nGreat work and analysis of the method in this submission. It used different datasets to improve the results, especially the nice use of OpenStreetMap data for industrial areas and transport, as well as the good wind analysis.\n <br><br>\n\nWe will contact the dataset authors with instructions on how to collect their payments shortly.\nThank you everyone for contributing public notebooks!",
      "votes": null
    },
    {
      "id": "800757",
      "postDate": "04/07/2020 18:00:49",
      "content": "<p>Congratulations everyone! Great solutions!</p>",
      "rawMarkdown": "Congratulations everyone! Great solutions!",
      "votes": null
    },
    {
      "id": "800798",
      "postDate": "04/07/2020 18:43:10",
      "content": "<p>Congrats to all the winners! We are thankful to the Kaggle team, hosts of the competition, and participants for their insightful work, which helped us a lot. It was a pleasure to take on this uneasy challenge.</p>",
      "rawMarkdown": "Congrats to all the winners! We are thankful to the Kaggle team, hosts of the competition, and participants for their insightful work, which helped us a lot. It was a pleasure to take on this uneasy challenge.",
      "votes": null
    },
    {
      "id": "800945",
      "postDate": "04/07/2020 23:00:23",
      "content": "<p>All the solutions are so elegant that I'm almost speechless. Congrats all winners, participants and the organizers. We learnt a lot in that Competition. </p>",
      "rawMarkdown": "All the solutions are so elegant that I'm almost speechless. Congrats all winners, participants and the organizers. We learnt a lot in that Competition.",
      "votes": null
    },
    {
      "id": "801076",
      "postDate": "04/08/2020 03:09:55",
      "content": "<p>Congratulations to all winners , participants and kaggle hosts. It was great opportunity to participate and learn from other kagglers.</p>",
      "rawMarkdown": "Congratulations to all winners , participants and kaggle hosts. It was great opportunity to participate and learn from other kagglers.",
      "votes": null
    },
    {
      "id": "801093",
      "postDate": "04/08/2020 04:05:29",
      "content": "<p>🥈 \nIt was a great experience working with this very amazing competition. Thanks to Kaggle, EIE team for organizing such a wonderful opportunity. Especially, <a href=\"https://www.kaggle.com/paultimothymooney\">Paul Mooney</a> and all the participates who shares important knowledge about the problem and materials in forum. </p>",
      "rawMarkdown": "🥈 \nIt was a great experience working with this very amazing competition. Thanks to Kaggle, EIE team for organizing such a wonderful opportunity. Especially, [Paul Mooney](https://www.kaggle.com/paultimothymooney) and all the participates who shares important knowledge about the problem and materials in forum.",
      "votes": null
    },
    {
      "id": "801164",
      "postDate": "04/08/2020 06:32:34",
      "content": "<p>Thanks to Kaggle, <a href=\"https://www.kaggle.com/paultimothymooney\">Paul Mooney</a> and <a href=\"https://insights.sustainability.google/\">Environmental Insights Explorer</a> for this interesting and stimulating challenge. I have discovered the awesome Earth Engine tool and learned a lot about pollution and remote sensing.\nCongratulations to the winners!</p>",
      "rawMarkdown": "Thanks to Kaggle, [Paul Mooney](https://www.kaggle.com/paultimothymooney) and [Environmental Insights Explorer](https://insights.sustainability.google/) for this interesting and stimulating challenge. I have discovered the awesome Earth Engine tool and learned a lot about pollution and remote sensing.\nCongratulations to the winners!",
      "votes": null
    },
    {
      "id": "801194",
      "postDate": "04/08/2020 07:29:24",
      "content": "<p>Thanks Paul and well done all! Thanks also to those who shared their notebooks early and made it so easy to get started! :)</p>",
      "rawMarkdown": "Thanks Paul and well done all! Thanks also to those who shared their notebooks early and made it so easy to get started! :)",
      "votes": null
    },
    {
      "id": "801745",
      "postDate": "04/08/2020 18:56:55",
      "content": "<p>Congrats to all the winners!</p>",
      "rawMarkdown": "Congrats to all the winners!",
      "votes": null
    },
    {
      "id": "802235",
      "postDate": "04/09/2020 09:03:11",
      "content": "<p>Congratulations ! It was nice to learn from others and to discover various approaches.</p>",
      "rawMarkdown": "Congratulations ! It was nice to learn from others and to discover various approaches.",
      "votes": null
    },
    {
      "id": "819418",
      "postDate": "04/24/2020 15:25:17",
      "content": "<p>Congratulations to winners. Fantastic solutions! I have a lot to learn from these notebooks. Congratulations to winners.</p>",
      "rawMarkdown": "Congratulations to winners. Fantastic solutions! I have a lot to learn from these notebooks. Congratulations to winners.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 800757,
      "author_name": "caesarlupum",
      "author_url": "",
      "post_date": "04/07/2020 18:00:49",
      "content": "<p>Congratulations everyone! Great solutions!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 800798,
      "author_name": "katemelianova",
      "author_url": "",
      "post_date": "04/07/2020 18:43:10",
      "content": "<p>Congrats to all the winners! We are thankful to the Kaggle team, hosts of the competition, and participants for their insightful work, which helped us a lot. It was a pleasure to take on this uneasy challenge.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 800945,
      "author_name": "mpwolke",
      "author_url": "",
      "post_date": "04/07/2020 23:00:23",
      "content": "<p>All the solutions are so elegant that I'm almost speechless. Congrats all winners, participants and the organizers. We learnt a lot in that Competition. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 801076,
      "author_name": "meenakshiramaswamy",
      "author_url": "",
      "post_date": "04/08/2020 03:09:55",
      "content": "<p>Congratulations to all winners , participants and kaggle hosts. It was great opportunity to participate and learn from other kagglers.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 801093,
      "author_name": "niyamatalmass",
      "author_url": "",
      "post_date": "04/08/2020 04:05:29",
      "content": "<p>🥈 \nIt was a great experience working with this very amazing competition. Thanks to Kaggle, EIE team for organizing such a wonderful opportunity. Especially, <a href=\"https://www.kaggle.com/paultimothymooney\">Paul Mooney</a> and all the participates who shares important knowledge about the problem and materials in forum. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 801164,
      "author_name": "vlarmet",
      "author_url": "",
      "post_date": "04/08/2020 06:32:34",
      "content": "<p>Thanks to Kaggle, <a href=\"https://www.kaggle.com/paultimothymooney\">Paul Mooney</a> and <a href=\"https://insights.sustainability.google/\">Environmental Insights Explorer</a> for this interesting and stimulating challenge. I have discovered the awesome Earth Engine tool and learned a lot about pollution and remote sensing.\nCongratulations to the winners!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 801194,
      "author_name": "chrisarderne",
      "author_url": "",
      "post_date": "04/08/2020 07:29:24",
      "content": "<p>Thanks Paul and well done all! Thanks also to those who shared their notebooks early and made it so easy to get started! :)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 801745,
      "author_name": "ritsaxena",
      "author_url": "",
      "post_date": "04/08/2020 18:56:55",
      "content": "<p>Congrats to all the winners!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 802235,
      "author_name": "louisbouvier",
      "author_url": "",
      "post_date": "04/09/2020 09:03:11",
      "content": "<p>Congratulations ! It was nice to learn from others and to discover various approaches.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 819418,
      "author_name": "g2giovanni",
      "author_url": "",
      "post_date": "04/24/2020 15:25:17",
      "content": "<p>Congratulations to winners. Fantastic solutions! I have a lot to learn from these notebooks. Congratulations to winners.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "800651": "# Congratulations!\n\n<br>\n\nCongratulations everyone! After evaluating more than one hundred public notebooks, we are excited to announce the final winners of the DS4G: Environmental Insights Explorer challenge! We are truly grateful for everyone who contributed public notebooks. Thank you all for your hard work. Without further ado, the winners of the competition are:<br><br>\n\n\n**First Prize**: $10,000 - [DS4G: Spatial Panel Data Modeling](https://www.kaggle.com/katemelianova/ds4g-spatial-panel-data-modeling).  \n - @katemelianova and @artvolgin\n\nAn excellent submission with comprehensive correction and accounting for confounding factors, with a well reasoned and explained solution and recommendation.\n<br><br>\n\n\n**Second Prize**: $7,500 - [Introduction to the solution of DSG: Environmental Insights Explorer](https://www.kaggle.com/niyamatalmass/1-introduction-to-the-solution-of-dsg-eie).  \n - @niyamatalmass \n\nThis submission did great work with the data, visualizations, methodology, evaluation, and use of the Earth Engine API. It proved that the method is generalizable, even though it was only focused on a single plant. \n <br><br>\n\n\n**Third Prize**: $5,000 - [DS4G: An analytical approach to NO2 emissions](https://www.kaggle.com/chrisarderne/ds4g-an-analytical-approach-to-no2-emissions).  \n - @chrisarderne \n\nThis submission had a well reasoned and explained methodology, which used different datasets and assumptions to generalize a solution, as well as discussion for how the model can be improved.  \n <br><br>\n\n\n**Fourth Prize**: $2,500 - [An R notebook for NO2 emission factor](https://www.kaggle.com/vlarmet/an-r-notebook-for-no2-emission-factor).  \n - @vlarmet \n\nGreat work and analysis of the method in this submission. It used different datasets to improve the results, especially the nice use of OpenStreetMap data for industrial areas and transport, as well as the good wind analysis.\n <br><br>\n\nWe will contact the dataset authors with instructions on how to collect their payments shortly.\nThank you everyone for contributing public notebooks!",
    "800757": "Congratulations everyone! Great solutions!",
    "800798": "Congrats to all the winners! We are thankful to the Kaggle team, hosts of the competition, and participants for their insightful work, which helped us a lot. It was a pleasure to take on this uneasy challenge.",
    "800945": "All the solutions are so elegant that I'm almost speechless. Congrats all winners, participants and the organizers. We learnt a lot in that Competition.",
    "801076": "Congratulations to all winners , participants and kaggle hosts. It was great opportunity to participate and learn from other kagglers.",
    "801093": "🥈 \nIt was a great experience working with this very amazing competition. Thanks to Kaggle, EIE team for organizing such a wonderful opportunity. Especially, [Paul Mooney](https://www.kaggle.com/paultimothymooney) and all the participates who shares important knowledge about the problem and materials in forum.",
    "801164": "Thanks to Kaggle, [Paul Mooney](https://www.kaggle.com/paultimothymooney) and [Environmental Insights Explorer](https://insights.sustainability.google/) for this interesting and stimulating challenge. I have discovered the awesome Earth Engine tool and learned a lot about pollution and remote sensing.\nCongratulations to the winners!",
    "801194": "Thanks Paul and well done all! Thanks also to those who shared their notebooks early and made it so easy to get started! :)",
    "801745": "Congrats to all the winners!",
    "802235": "Congratulations ! It was nice to learn from others and to discover various approaches.",
    "819418": "Congratulations to winners. Fantastic solutions! I have a lot to learn from these notebooks. Congratulations to winners."
  },
  "source": "meta"
}