Link to Session Platform

Chairs(s):

Jinwen Xu, School of Geosciences, University of South Florida

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Description:

With the changing climate and increasing extreme weather events, a large number of ubiquitous disasters and the escalation of disaster-inflicted losses keep posing threats to human societies. Quantitative assessments of vulnerability, resilience and disaster risk are increasingly valuable when human society is confronted with such frequent and intense hazards. Spatial and temporal scales have been a fundamental issue for the conceptualization, assessment and relevant decision-making of vulnerability, resilience, and disaster risk. Assessments at a spatial large scale may neglect the connections at the local and neighborhood levels, while analyses at a small scale may under-sample the phenomena and miss the regional and global trends. Controversies also exist in whether resilience assessment should focus on short-term recovery or long-term thriving and sustainability. Finding the appropriate and actionable scale that can lead to reliable interpretation and distinguish the socially marginalized communities has been a conundrum for scholars during past decades. With the fast-developing technological progress and convergence, various types of human dynamics data are available and accessible during disasters at multiple spatial and temporal scales (e.g. remote sensing images, human mobility data, and social media data). These emerging data sources provide empirical observations of human activities in extreme weather events. However, leveraging heterogeneous data from different scales to derive meaningful information and knowledge becomes a new challenge in the research on vulnerability, resilience and disaster risk.

Non-Presenting Participants Agenda