The aim of this paper is to provide an overview of the interrelationship between data science
and climate studies, as well as describes how sustainability climate issues can be managed …

Prudent risk management requires consideration of bad-to-worst-case scenarios. Yet, for
climate change, such potential futures are poorly understood. Could anthropogenic climate …

In all cities and urban areas, the risk faced by people and assets from hazards associated
with climate change has increased (high confidence1). Urban areas are now home to 4.2 …

Although artificial intelligence (AI; inclusive of machine learning) is gaining traction
supporting climate change projections and impacts, limited work has used AI to address …

The current food system (production, transport, processing, packaging, storage, retail,
consumption, loss and waste) feeds the great majority of world population and supports the …

Russia's invasion of Ukraine has shocked global politics and markets. While there is
uncertainty over how the war will develop, it is certain that its ramifications will be both long …

Increasing global food demand, low grain reserves and climate change threaten the stability
of food systems on national to global scales,,,–. Policies to increase yields, irrigation and …

Climate change impacts, adaptation and vulnerability studies tend to confine their attention
to impacts and responses within the same geographical region. However, this approach …

Adaptive pathways planning is an approach that maps the solution space over time to inform
decision making under uncertainty. Since its first applications to climate change adaptation …

Climate change is expected to have adverse impacts and implications for a range of human-
environment systems. However, our understanding of the extent to which these impacts may …