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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tackling Climate Change with Machine Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1906.05433/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1906.05433/feed.xml" rel="self" type="application/rss+xml" /><item><title>Tackling Climate Change with Machine Learning — mentioned by jingxiangmo</title><link>https://news.ycombinator.com/item?id=33094762</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.05433:33094762</guid><pubDate>Wed, 05 Oct 2022 12:45:22 GMT</pubDate><description>&lt;p&gt;Research paper identifying high impact problems that can be solved by machine learning. Link directly to paper PDF: https://arxiv.org/pdf/1906.05433.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=33094761</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:33094761</guid><pubDate>Wed, 05 Oct 2022 12:45:22 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning [2019]&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — mentioned by querez</title><link>https://news.ycombinator.com/item?id=32329099</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.05433:32329099</guid><pubDate>Wed, 03 Aug 2022 08:31:26 GMT</pubDate><description>&lt;p&gt;As an AI researcher, I feel like this is misguided advice. The field is overrun with people, and it&amp;#x27;s almost impossible to make a meaningful dent anymore. Even if you have a group of experienced researchers and large compute reserves, most people are content with chasing SOTAs, because the green-field low-hanging fruit of yesteryear is over (and has been over for a while). Sure, you can learn some AI and then look for climate-applications[0], but then again, why not enter that field as a software engineer in the first place. Learning AI and is just an unnecessary detour if you want to end up…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=28024352</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:28024352</guid><pubDate>Sun, 01 Aug 2021 06:55:54 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=26864611</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:26864611</guid><pubDate>Mon, 19 Apr 2021 16:28:11 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=21861650</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:21861650</guid><pubDate>Mon, 23 Dec 2019 05:20:19 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — mentioned by summerlight</title><link>https://news.ycombinator.com/item?id=21806550</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.05433:21806550</guid><pubDate>Mon, 16 Dec 2019 19:57:15 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/1906.05433 This paper seems relevant to the climate change part. This is more about what to do rather than technologies.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=21282789</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:21282789</guid><pubDate>Thu, 17 Oct 2019 15:04:12 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — mentioned by jamessb</title><link>https://news.ycombinator.com/item?id=21175099</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.05433:21175099</guid><pubDate>Sun, 06 Oct 2019 21:01:27 GMT</pubDate><description>&lt;p&gt;See this (97 page) review &amp;quot;Tackling Climate Change with Machine Learning&amp;quot;: https://arxiv.org/abs/1906.05433 You might also find Bret Victor&amp;#x27;s &amp;quot;What can a technologist do about climate change?&amp;quot; article interesting - it talks about software other than ML/AI: http://worrydream.com/ClimateChange/&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=21000781</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:21000781</guid><pubDate>Tue, 17 Sep 2019 22:35:54 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=20375617</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:20375617</guid><pubDate>Sun, 07 Jul 2019 15:38:53 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=20296591</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:20296591</guid><pubDate>Thu, 27 Jun 2019 17:29:21 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning [pdf]&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=20258715</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:20258715</guid><pubDate>Sun, 23 Jun 2019 21:14:32 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — mentioned by martincollignon</title><link>https://news.ycombinator.com/item?id=20257332</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.05433:20257332</guid><pubDate>Sun, 23 Jun 2019 17:48:33 GMT</pubDate><description>&lt;p&gt;Great to see more and more climate related posts on HN. Posted this a couple of times already, but I&amp;#x27;d encourage everyone to check this paper[0] that recently came out (&amp;quot;Tackling Climate Change with Machine Learning&amp;quot;). Among one of the initiatives mentioned is a startup called Tomorrow [1] that integrates with services (Uber, Instacart, etc) to calculate your personal CO2 emissions. They need help to get more of these integrations and more CO2 models. Consider giving a hand to them or other projects like this one [2]. [0] https://arxiv.org/abs/1906.05433 [1] https://www.tmrow.com/ [2]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — mentioned by martincollignon</title><link>https://news.ycombinator.com/item?id=20257291</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.05433:20257291</guid><pubDate>Sun, 23 Jun 2019 17:44:42 GMT</pubDate><description>&lt;p&gt;Interesting to see more and more climate related posts on HN. Posted this a couple of times already, but I&amp;#x27;d encourage everyone to check this paper[0] that recently came out (&amp;quot;Tackling Climate Change with Machine Learning&amp;quot;). Among one of the initiatives mentioned is a startup called Tomorrow [1] that integrates with services (Uber, Instacart, etc) to calculate your personal CO2 emissions. They need help to get more of these integrations and more CO2 models. Consider giving a hand to them or other projects like this one [2]. [0] https://arxiv.org/abs/1906.05433 [1] https://www.tmrow.com/ [2]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — mentioned by martincollignon</title><link>https://news.ycombinator.com/item?id=20249961</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.05433:20249961</guid><pubDate>Sat, 22 Jun 2019 15:04:03 GMT</pubDate><description>&lt;p&gt;Reading these headlines is pretty depressing. If you want to do something about it, a paper called Tackling Climate Change with Machine Learning[0] just came out, and under Tools for Individuals a startup called Tomorrow[1] is mentioned. They&amp;#x27;re actively looking for help to get more integrations to their app to calculate people&amp;#x27;s personal CO2 emissions. [0] https://arxiv.org/abs/1906.05433 [1] https://www.tmrow.com/&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — mentioned by martincollignon</title><link>https://news.ycombinator.com/item?id=20244473</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.05433:20244473</guid><pubDate>Fri, 21 Jun 2019 17:15:33 GMT</pubDate><description>&lt;p&gt;If you have time to dedicate to the fight against climate change, consider reading this paper [0] and start or help out some of the projects mentioned. One example is Tomorrow [1], a startup that tries to calculate your CO2 emisisons based on app integrations and is looking for help on these integrations and CO2 models, but there are other projects like this one [2] or this one [3]. [0] https://arxiv.org/abs/1906.05433 [1] https://www.tmrow.com/ [2] https://openclimatefix.github.io/ [3] http://pangeo.io&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — mentioned by martincollignon</title><link>https://news.ycombinator.com/item?id=20244411</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.05433:20244411</guid><pubDate>Fri, 21 Jun 2019 17:10:12 GMT</pubDate><description>&lt;p&gt;If you want to do something about climate change, a paper called Tackling Climate Change with Machine Learning[0] just came out, and under Tools for Individuals a startup called Tomorrow[1] is mentioned. I know they&amp;#x27;re actively looking for help to get more integrations to their app to calculate people&amp;#x27;s personal CO2 emissions. [0] https://arxiv.org/abs/1906.05433 [1] https://www.tmrow.com/&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=20201079</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:20201079</guid><pubDate>Mon, 17 Jun 2019 08:53:20 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=20194366</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:20194366</guid><pubDate>Sun, 16 Jun 2019 07:49:57 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — mentioned by wintercarver</title><link>https://news.ycombinator.com/item?id=20189775</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.05433:20189775</guid><pubDate>Sat, 15 Jun 2019 12:49:20 GMT</pubDate><description>&lt;p&gt;I don’t think this is a comprehensive answer, but if you want a nice summary of how climate change might be impacted by ML/DL applications, this is hot off the press: Tackling Climate Change with Machine Learning, https://arxiv.org/abs/1906.05433&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=20183772</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:20183772</guid><pubDate>Fri, 14 Jun 2019 15:30:18 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Tackling Climate Change with Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=20180044</link><guid isPermaLink="false">urn:hackerpapers:submission:1906.05433:20180044</guid><pubDate>Fri, 14 Jun 2019 01:55:51 GMT</pubDate><description>&lt;p&gt;Tackling Climate Change with Machine Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1906.05433/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item></channel></rss>
