Players
Who are the business, institutional and community players in AI for sustainability and climate resilience?
- Kaggle, 24M+ machine learners to share, stress test, and stay up-to-date on all the latest ML techniques and technologies. A huge repository of community-published models, data & code, competitions and more.
- Hugging Face AI comminity second only to Kaggle.
- AI @ Google: Google AI – Sustainability AI; Sustainable Innovation & Technology – Google Sustainability
- AI @ Microsoft: AI For Good Lab – Microsoft Research; Microsoft Research AI for Science – Microsoft Research; Microsoft Climate Research Initiative – Microsoft Research
- AI Solutions for the Environment | UNEP – UN Environment Programme
- Green Software Foundation | GSF Build a trusted ecosystem of people, standards, tooling and best practices for creating and building green software.
- Climate Change AI is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role.
- The Coalition for Sustainable AI is an initiative by France, in collaboration with the UN Environment Programme and the International Telecommunication Union, with the support of several international organizations. Launched at the Paris AI Action Summit, it aims at building a global community of stakeholders willing to contribute to initiatives for aligning AI development with global sustainability goals and fostering responsible AI that supports the environmental policies.
- The Minderoo Centre for Technology and Democracy is an independent team of researchers at the University of Cambridge who are radically rethinking the power relationships between digital technologies, society, and our planet. We believe the uncontrolled accumulation of power by tech companies poses major threats to democracy and the natural environment. Through our ambitious research agenda, we are bringing positive change to society’s relationship with digital technologies.
- RAi UK brings together researchers from across the four nations of the UK to understand how we should shape the development of AI to benefit people, communities and society. It is an open, multidisciplinary network, drawing on a wide range of academic disciplines. This stems from our conviction that developing responsible AI will require as much focus on the human, and human societies, as it does on AI.
- OECD.AI is an online interactive platform dedicated to promoting trustworthy, human-centric artificial intelligence (AI). Launched by the OECD in 2020, the Observatory is an essential resource for policymakers, researchers, businesses, and civil society, offering a comprehensive view of global AI initiatives, trends, and governance frameworks.
- AI for Good established in 2017 by the International Telecommunication Union (ITU), the United Nations (UN) leading agency for digital technologies. AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges.
- ELIAS European Lighthouse of AI for Sustainability – a Network of Excellence connecting researchers in academia with practitioners in the industry to differentiate Europe as a region where AI research builds towards a sustainable long-term future for our planet, contributes to a cohesive society, and respects individual preferences and rights.
- Milkywire is an impact firm, supporting companies to deliver on their climate and nature commitments. Using a science-based, high-integrity approach, we enable businesses to invest in the most impactful climate and nature projects available, within areas such as carbon removal, nature restoration, and nature protection.
- EU AI Act regulates use of artificial intelligence in the EU, the world’s first comprehensive AI law. Find out how it protects you.
- AI Oppotunities Action Plan (Department for Science, Innovation and Technology, UK Government, 2025).
Training
Some AI/ML training courses.
- Climate Change AI tutorials on AI/ML https://www.climatechange.ai/tutorials
- Linked-in Learning. An Introduction to AI and Sustainability. Luers, A (Global Director, Sustainability Science, Microsoft). https://www.linkedin.com/learning/an-introduction-to-ai-and-sustainability/ai-accelerates-the-development-of-sustainability-solutions
- Coursera: AI and Climate Change, AI and Disaster Management, AI and Public Health
- An Introduction to Machine Learning with R. Gatto L. (2018).
- Practical Deep Learning. A free Python course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.
- ClimateLearn: Machine Learning for Predicting Weather and Climate Extremes. Apply machine learning to predict climate variables into the future and transform low-resolution outputs of climate models into high-resolution regional forecasts.
- Computational Tools in Climate Science. An integrated program of tutorials, research projects, and professional development activities. The curriculum spans most areas of climate science including cutting-edge methods to analyze climate data and models.
- UK CEH Machine Learning for Environmental Science (£499).