Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.

NH10.2

EDI
Convener: Silvia Torresan | Co-conveners: Marleen de RuiterECSECS, Rui FigueiredoECSECS, Kai Schröter

The presence of concurrent threats and globally interlinked risks (e.g., climate change, environmental degradation, pandemics, economic crisis) is posing unique challenges to our society. A robust assessment and management of such risks compels the adoption of new conceptual and analytical approaches, and a paradigm shift toward systemic risk and resilience governance.
Systemic risks are featured by the interplay of micro- and macro-processes, a complex (non-linear) causal structure and potential irreversible effects. As remarked in the Sendai Framework and the 2030 Agenda, systemic risks are difficult to predict and can propagate across multiple spatial (from local to global) and time scales (from immediate to decadal and beyond), threatening all the dimensions of sustainable development (economic, social and environmental).
Effective management and mitigation of systemic risks must be supported by transdisciplinary, integrated, multisectoral risk assessments and decision-making. However, the prevalent disaster risk paradigm traditionally focuses on hazard-silos, thereby not accounting for interactions and feedback mechanisms in hazards and risks that can significantly alter our understanding of future disaster scenarios.
This session creates opportunities to discuss how recent developments and applications of systemic risk thinking and methods can help to boost a transition toward a new generation of multi-risk management and resilience practices.

We invite papers studying different aspects of systemic risks and relevant case studies, including: cutting-edge assessment methods to predict and manage natural and environmental hazards and risks; interrelated climate risks and vulnerabilities; multi-risk assessments including compound and consecutive events, cascading effects, transboundary impacts and NaTech (Natural-Technological) disasters.

Particular emphasis will be given to studies employing innovative technologies (big data analytics, machine learning, artificial intelligence, social media) unlocking new opportunities of addressing systemic risks and sustainable adaptation pathways in ways that have never been possible before.