Conference goals and key topics

Conference goals

This conference aims to bring together several disciplines and expertise ranging from meteorological services, warning services, disaster and risk managers, and intervention forces to cartography, visualization, and communication experts. The conference aims at:

  • Identifying gaps and challenges in the application of novel technologies,
  • building bridges between research and practice,
  • enabling operational synergies across the different phases of integrated disaster management (from monitoring, forecasting, and warning to early action, preparedness, response, and recovery),
  • sharing of best practices, as well as providing room for discussion of methodological problems in risk modeling and visualization, including resilience analytics and improvements,
  • explore cartographic visualization of complex spatiotemporal data as a means for improving forecasts, warnings, and early actions,
  • creating synergies between forecasting, response, and impact,
  • fostering cross-organizational information management, especially aiming at turning data streams and impact forecasts into decisions, workflows, and actions,
  • define a roadmap for future improvements in the domains of (cartographic) visualization and communication for risk information management.

Key topics

Key topics and areas of interest include (but not limited to):

  • Impact-based forecasting, warning, and early action
  • Nowcasting and dynamic hazard assessment
  • Disaster preparedness
  • Risk information management
  • Visualization and communication
  • Decision support
  • Resilience analytics
  • Logistics
  • Critical infrastructures
  • Meteorological and natural hazards
  • Alpine and cross-border hazards
  • Multi-hazards and cascading effects
  • Real-time information management
  • Artificial intelligence and machine learning
  • Complexity management
  • Novel paradigms in spatial, temporal, and thematic visualization
  • Process modeling, automated workflows
  • Data and streams analytics
  • Uncertainty visualization
  • Information spaces and interoperability
  • Data sources and distribution channels
  • Usability and user interface / user experience
  • Scenario and use-case based requirements engineering
  • Digital twins and dashboards
  • Challenges in data visualization technologies
  • GeoAI
  • Big data
  • Interactive simulations
  • Participatory- scenario and data-driven analyses
  • Extended (virtual, augmented, mixed) reality
  • User-centered communication and UX