Extreme climate and weather events, associated disasters, geohazards and emergent risks interact with other stressors, especially growing anthropogenic pressures, and are so becoming increasingly critical in the context of global environmental change. They are a potential major threat to reaching the Sustainable Development Goals (SDGs) and one of the most pressing challenges for future human well-being and safety.
This session explores the linkages between extreme climate and weather events, geohazards, associated disasters, societal dynamics and resilience.
Emphasis is laid on 1) Which impacts are caused by extreme climate events (including risks emerging from compound events) and cascades of impacts on various aspects of ecosystems and societies? 2) Which feedbacks across ecosystems, infrastructures and societies exist? 3) What are key obstacles towards societal resilience and reaching the SDGs, while facing climate extremes? 4) What can we learn from past experiences? 5) What local to global governance arrangements best support equitable and sustainable risk reduction?
Nowadays, to answer this last question, the careful application of social media and crowdsourcing (SMCS) begins to make a contribution, notably in the field of geosciences. SMCS have been integrated into crisis and Disaster Risk Management (DRM) for improved information gathering and collaboration across communities, and for collaboratively coping with critical situations. Numerous governments and EU-funded projects have been exploring the implementation and use of SMCS by developing and adopting new technologies, procedures, and applications. The effectiveness of SMCS on European disaster resilience, however, remains unclear, due to the diversity among disaster risk perception and vulnerability. In general, this second part addresses ways to govern and understand the effectiveness of SMCS for Disaster Risk Management and the related Disaster Resilience is focused.
In this session we welcome empirical with practical applications, theoretical and modelling studies from local to global scale from the fields of natural sciences, social sciences, humanities and related disciplines since the creation of novel effective approaches necessitates a coordinated and coherent effort between them.