Speed & Accuracy
These techniques and tools allow for the processing of huge sets of data at greater speed and with better accuracy.
Different Data Types
These tools process structured and (increasingly) unstructured data from a wide variety of sources including sensor data, images and social-network data.
These tools can be utilised to identify and analyse patterns, trends and correlations.
Informed Risk Assessments
Robust Risk Models
Analysis of historical disasters to develop accurate risk models.
Provides accurate prediction of future events, and hence informs decisions of policymakers on risk-reduction investment, and risk-transfer and retention options.
This leads to comprehensive and timely assessment of disaster risks, which helps to crowd-in finance for tech-led disaster management.
Risk-Informed Disaster-Management Agencies
Short-Term Goals - Engagement with Markets
National Disaster Strategy
National disaster strategies should prioritise engagement with open-source risk models, and private and international organisation-led risk services.
Develop Market Expertise
Governments should look to develop market knowledge and tap into private-sector expertise.
Through inter-ministerial committees, governments should actively seek to engage with the private sector.
Long-Term Goals - In-House Expertise
Governments can leverage existing capacity-building programmes offered by international organisations.
Governments should look to develop partnerships with tech companies to allow for knowledge and skill transfer on data-analysis technologies.
Cost-Effective Solutions in LMICs
Governments, Donors, Investors, MDBs
Disaster Prep & Response
Leverage Economies of Scale
Predictable and Long-Term Funding
Long-Term Goal - Virtuous Cycle
Increased tech adoption
Improved disaster management