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Unexpected epidemics, abrupt catastrophic shifts in biophysical systems, and economic crises that cascade across national borders and regions are events that challenge the steering capacity of governance at all political levels. This article seeks to extend the applicability of governance theory by developing hypotheses about how different governance types can be expected to handle processes of change characterized by nonlinear dynamics, threshold effects, cascades, and limited predictability. The first part of the article argues the relevance of a complex adaptive system approach and goes on to review how well governance theory acknowledges the intriguing behavior of complex adaptive systems. In the second part, we develop a typology of governance systems based on their adaptive capacities. Finally, we investigate how combinations of governance systems on different levels buffer or weaken the capacity to govern complex adaptive systems.

Unexpected epidemics, abrupt catastrophic shifts in biophysical systems, and economic crises that cascade across national borders and regions are events that challenge the steering capacity of governance at all political levels. This article seeks to extend the applicability of governance theory by developing hypotheses about how different governance types can be expected to handle processes of change characterized by nonlinear dynamics, threshold effects, cascades, and limited predictability. The first part of the article argues the relevance of a complex adaptive system approach and goes on to review how well governance theory acknowledges the intriguing behavior of complex adaptive systems. In the second part, we develop a typology of governance systems based on their adaptive capacities. Finally, we investigate how combinations of governance systems on different levels buffer or weaken the capacity to govern complex adaptive systems. Adapted from the source document.

While some of the future impacts of global environmental change such as some aspects of climate change can be projected and prepared for in advance, other effects are likely to surface as surprises -- that is situations in which the behaviour in a system, or across systems, differs qualitatively from expectations. Here we analyse a set of institutional and political leadership challenges posed by 'cascading' ecological crises: abrupt ecological changes that propagate into societal crises that move through systems and spatial scales. We illustrate their underlying social and ecological drivers, and a range of institutional and political leadership challenges, which have been insufficiently elaborated by either crisis management researchers or institutional scholars. We conclude that even though these sorts of crises have parallels to other contingencies, there are a number of major differences resulting from the combination of a lack of early warnings, abrupt ecological change, and the mismatch between decision-making capabilities and the cross-scale dynamics of social-ecological change. Adapted from the source document.

Global risks are now increasingly being perceived as networked, and likely to result in large‐scale, propagating failures and crises that transgress national boundaries and societal sectors. These so called "globally networked risks" pose fundamental challenges to global governance institutions. A growing literature explores the nature of these globally networked or "systemic" risks. While this research has taught us much about the anatomy of these risks, it has consistently failed to integrate insights from the wider social sciences. This is problematic since the prescriptions that result from these efforts flow from naїve assumptions about the way real‐world state and non‐state actors behave in the international arena. This leaves serious gaps in our understanding of whether networked environmental risks at all can be governed. The following essay brings together decades of research by different disciplines in the social sciences, and identifies five multi‐disciplinary key insights that can inform global approaches to governing these. These insights include the influence of international institutions; the dynamics and effect of international norms and legal mechanisms; the need for international institutions to cope with transboundary and cross‐sectoral crises; the role of innovation as a strategy to handle unpredictable global risks; and the necessity to address legitimacy issues.

This article explores the links between agency, institutions, and innovation in navigating shifts and large-scale transformations toward global sustainability. Our central question is whether social and technical innovations can reverse the trends that are challenging critical thresholds and creating tipping points in the earth system, and if not, what conditions are necessary to escape the current lock-in. Large-scale transformations in information technology, nano- and biotechnology, and new energy systems have the potential to significantly improve our lives; but if, in framing them, our globalized society fails to consider the capacity of the biosphere, there is a risk that unsustainable development pathways may be reinforced. Current institutional arrangements, including the lack of incentives for the private sector to innovate for sustainability, and the lags inherent in the path dependent nature of innovation, contribute to lock-in, as does our incapacity to easily grasp the interactions implicit in complex problems, referred to here as the ingenuity gap. Nonetheless, promising social and technical innovations with potential to change unsustainable trajectories need to be nurtured and connected to broad institutional resources and responses. In parallel, institutional entrepreneurs can work to reduce the resilience of dominant institutional systems and position viable shadow alternatives and niche regimes.

Automated decision making and predictive analytics through artificial intelligence, in combination with rapid progress in technologies such as sensor technology and robotics are likely to change the way individuals, communities, governments and private actors perceive and respond to climate and ecological change. Methods based on various forms of artificial intelligence are already today being applied in a number of research fields related to climate change and environmental monitoring. Investments into applications of these technologies in agriculture, forestry and the extraction of marine resources also seem to be increasing rapidly. Despite a growing interest in, and deployment of AI-technologies in domains critical for sustainability, few have explored possible systemic risks in depth. This article offers a global overview of the progress of such technologies in sectors with high impact potential for sustainability like farming, forestry and the extraction of marine resources. We also identify possible systemic risks in these domains including a) algorithmic bias and allocative harms; b) unequal access and benefits; c) cascading failures and external disruptions, and d) trade-offs between efficiency and resilience. We explore these emerging risks, identify critical questions, and discuss the limitations of current governance mechanisms in addressing AI sustainability risks in these sectors.