Applying a refined mixed-method framework to identify DRR capacity gaps, prioritise solutions, and develop evidence-based recommendations for Sierra Leone
# Sierra Leone Disaster Risk Reduction & Preparedness
A data-driven disaster risk reduction and preparedness project focused on Sierra Leone.
The project develops and applies the **Senessie DRR Intelligence Framework (S-DRIF)**, a proposed analytical and decision-support framework designed to convert fragmented disaster-risk, preparedness, governance, socioeconomic, health-system and disaster-impact evidence into structured policy intelligence.
S-DRIF is designed to move beyond simply ranking countries or measuring risk. It aims to help decision-makers understand:
- What is happening
- What is it happening
- What does context tell us
- What do we think might happen
- What solutions can we recommend employing
- How to take action and then monitor and evaluate said action
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## The S-DRIF Framework
The wider decision-intelligence architecture develops this into:
**DESCRIBE → DIAGNOSE → CONSULT → TRIANGULATE → PREDICT → PRESCRIBE → DECIDE & ACT → LEARN**
The framework is designed as a progressive process in which each stage addresses a more decision-relevant question.
### 1. Measure / Describe
Establish the country's disaster-risk, preparedness, resilience, governance, socioeconomic, health-system and disaster-impact position using appropriate evidence.
### 2. Explain / Diagnose
Investigate relationships and structural factors associated with observed preparedness and disaster outcomes.
### 3. Compare
Identify structurally comparable countries and systems rather than solely relying on geographical comparison alone to highlight potential MEL cases.
### 4. Learn
Identify countries or cases that perform better than expected and investigate what may explain their performance.
### 5. Consult
Bring in stakeholder, expert, institutional, policy and contextual knowledge (affected locals, practitioners on the ground; really centering those affected by hazards in this phase to gain a clearer picture) to test and challenge emerging interpretations.
### 6. Tria …