Executive summary Increases in global mean surface temperature are projected to result in
continued permafrost degradation and coastal degradation (high confidence), increased …

The literature on the costs of climate change often draws a link between climatic “tipping
points” and large economic shocks, frequently called “catastrophes.” The phrase “tipping …

Modeling is a crucial approach for understanding the past and exploring the future of
coupled human-natural systems. However, uncertainty in various forms challenges …

In many planning problems, planners face major challenges in coping with uncertain and
changing physical conditions, and rapid unpredictable socioeconomic development. How …

There is a growing interest in model-based decision support under deep uncertainty,
reflected in a variety of approaches being put forward in the literature. A key idea shared …

This study introduces a new open source software framework to support bottom-up
environmental systems planning under deep uncertainty with a focus on many-objective …

Decision-making in the context of complex human–natural systems requires a transition
towards robust model-based inferences which are effective despite uncertainties of human …

Accelerating global climate change drives new climate risks. People around the world are
researching, designing, and implementing strategies to manage these risks. Identifying and …

Abstract The 17 Sustainable Development Goals (SDGs) represent a holistic and ambitious
agenda for transforming the world towards societal well-being, economic prosperity, and …

Cities play a critical role in developing adaptable strategies to address the challenges posed
by climate change. However, the inherent complexity of urban environments and their …