UN Working Paper evidence base for conceptual framework of cyclic relationship between climate change and social inequality.
This report provides an overview of AI and Climate Change with considerations for AI Climate Solutions. It discusses values-based climate communication and the difference between
Conceptual interactive website to show precise and personalised impacts of climate change using AI and climate modelling. Bringing together researchers from different fields, the website
Case Study: Explores the potential of using images from a simulated 3D environment to improve a domain adaptation task carried out by the MUNIT architecture,
Case Study: Community perspective of the game-changing socio-economic value that could be achieved with better forecasts, especially among vulnerable communities. The paper presents a new
Case Study: Most of Rwanda’s crop production comes from smallholder farms. The country’s agriculture officials have historically had insufficient data on where crops are cultivated
Case Study: pioneering flood mapping and response organization that uses high-cadence, high-resolution satellite imagery to build country-wide flood monitoring and dynamic analytics systems for the
The paper provides pillars of action for the AI community, and includes a focus on climate justice where the author recommends that environmental impacts should
AI methods can be used to reduce the psychological distance to climate impacts in groups who are not actively experiencing the negative effects of climate change in their daily life.
A benefit of using AI methods in climate change solutions is that the potential for remote collection of data and analysis in the cloud allows for far-reaching geographic applications of solutions.
We and AI Ltd, a Charitable Company Limited by Guarantee Company Registration Number 13376771
