Science, technology and innovation:
- Improving observation, monitoring and forecasting systems and other technologies (e.g. portable modelling);
- Effective use of latest/advanced and appropriate/suitable/fit-for-purpose science and technology (e.g. innovative low-cost measures and novel IT tools);
- Governance challenges to effectively and sustainably integrate and test new technologies, approaches, data sources (Big data, satellite-based data, crowdsourcing, etc.) to enhance monitoring and forecasting capabilities and to build and share relevant and fit-for-purpose risk information;
- Ensure socially relevant warning communication technologies;
- Incorporating science and technical research departments and institutes, agencies, and universities in national (multi-hazard) early warning systems (e.g. through working closely with academia through secondments, PhD programmes and/or embedding research institutes/departments within the organizations delivering key components of the warning system;
- Implications for the research agenda; and
- Private-public collaborations for improved observation, monitoring and forecasting.
Document / Presentation Title | Presenter | Documents | Presentations |
Concept Note |
PDF341.73 KB
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Key Note: Predicting Weather-related Risk | P. Davies (UK Met Office) |
PDF1.15 MB
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Data for Humanitarian Action | S. McCain (NASA) |
PDF472.95 KB
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Scientific and Technical Advances in Early Warning Systems for Seismological Hazards | S. Parolai (INOGS) |
PDF1.63 MB
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Monitoring Volcanoes and Issuance of Warnings – Example from Iceland | S. Karlsdóttir (IMO) |
PDF465.32 KB
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Flash Flood Guidance System (FFGS) with Global Coverage | P. Pilon (WMO) |
PDF1.21 MB
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Advances in Multi-Hazard Early Warning Systems in Peru & Developing Last-mile Multi-Hazard Early Warning Systems |
M.E. Velásquez Landmann (National Institute of Civil Defense, Peru) & M. Arestegui Espinal (Practical Action) |
PDF499.25 KB
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Session Summary |