Climate Change AI (CCAI) is a global non-profit that catalyzes impactful work at the intersection of climate change and machine learning. It offers resources like reports, interactive summaries, tutorials, a YouTube channel, a resource wiki, and accepted workshop papers. CCAI also fosters a community through its platform, directory, blog, events, and grant programs. The organization's mission is to build a community, provide education, fill infrastructure gaps, and advance discourse in the field.
• tutorials
• workshops
• blog
• reports
• community platform
• events
• newsletter
• resource wiki
We encourage you to check out our [paper](/reports/tccml), which provides a detailed guide of ways machine learning can be used to tackle climate change, as well as the accompanying [tutorials](/tutorials) on our website, and our [Wiki](https://wiki.climatechange.ai). We also encourage you to explore routes such as setting up a reading group at your institution or via our [community platform](https://community.climatechange.ai).
We encourage you to join the conversations on our [community platform](https://community.climatechange.ai) and social media channels, sign up for our [newsletter](/newsletter), submit to one of our [workshops](/events), or attend one of our [events](/events) in order to find collaborators. You might also consider organizing or attending informal meetups through our [community platform](https://community.climatechange.ai) to meet others working in this area.
Yes! One of our goals is to connect people working in areas relevant to climate change with experts in machine learning. For some helpful background on AI and machine learning, we encourage you to check out our [tutorial](/tutorials) on machine learning or other online resources such as this [Coursera course](https://www.coursera.org/learn/machine-learning).
Yes! One of our goals is to connect people working in machine learning to experts working in areas relevant to climate change. We encourage you to check out our [tutorial](/tutorials) on climate change. For some helpful background readings on climate change and related areas, you can also check out our [Wiki](https://wiki.climatechange.ai).
We encourage you to check out [our paper](/reports/tccml) and [previous events](/events#past-events) for ideas. To discuss project ideas or find collaborators, you can head over to our [community platform](https://community.climatechange.ai) or join us at one of our [events](/events).
Our goal at Climate Change AI is to promote impactful collaborations, but our organization does not do any research in-house. Please head over to our [community platform](https://community.climatechange.ai) to find collaborators for research projects.
We believe AI can play a useful role in many climate change strategies (as detailed in our [paper](/reports/tccml)), and that it is important for AI and machine learning experts to join the global effort against climate change. That said, AI is only one piece of the puzzle; policy and technical approaches other than AI will also be critical to tackling climate change. Given the urgency of acting on climate change, we need all hands on deck.
We do not yet offer formal partnerships, but are eager to put our heads together with like-minded organizations. If you’d like to chat, please [send us an email](mailto:info@climatechange.ai).
Please feel free to share your announcement with us via [email](mailto:info@climatechange.ai); we will advertise relevant announcements through our [newsletter](/newsletter) and/or social media. You can also share announcements in our [community platform](https://community.climatechange.ai).
We encourage you to sign up for our [newsletter](/newsletter), which includes announcements about jobs and opportunities in climate change and AI. You may also be interested in checking out companies or institutions cited in our [paper](/reports/tccml), our [wiki](https://wiki.climatechange.ai) or who have presented at our [events](/events). Consider looking at pages and job boards geared towards specific areas relevant to climate change (e.g. those areas listed in the table of contents of our paper), and at those geared towards jobs in different kinds of sectors (e.g. tech, traditional industry, the public sector, and NGOs).
Please [send us an email](mailto:info@climatechange.ai) if you would like to discuss opportunities in this space. We also suggest checking out the projects presented at our [previous events](/events#past-events) as well as the references and footnotes in our [paper](/reports/tccml) to identify promising companies and startups at the intersection of climate change and machine learning.
We do not offer consulting services; however, please feel free to [reach out to us](mailto:info@climatechange.ai) or to post on our [community platform](https://community.climatechange.ai) for feedback on related projects.
There are currently no job postings for this AI tool.
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