SOC Humanitarian Crisis App

Detect Fragility in Food, Water, and Shelter Systems

Emergency Response

Crisis Mapping

Resource Planning

Step 1: Select Humanitarian System

Humanitarian lifeline systems—like food, water, shelter, and medical aid—are vulnerable to cascading breakdowns during crises. Explore how stress builds, where failure can spread, and what areas are most at risk.

What You Can Do: Select a system to evaluate fragility, locate weak points, and simulate how disruptions can cascade through essential services.

🌾 Food Security Network

CRITICAL

Global food distribution network including supply chains, agricultural systems, and emergency food distribution. High hub concentration makes this vulnerable to coordinated climate events affecting 3-5 critical regions simultaneously.

Crisis Scenarios: Climate Disasters, Supply Chain Disruption

120 Critical Nodes Cascade Risk: EXTREME

🏥 Health System Network

HIGH

Interconnected healthcare facilities, medical supply chains, and emergency medical services. Small-world topology creates potential for systemic health system cascade failures during pandemics.

Crisis Scenarios: Pandemic Outbreaks, Natural Disasters

89 Major Facilities Cascade Risk: HIGH

💧 Water & Sanitation

HIGH

Critical water treatment facilities, distribution networks, and sanitation systems essential for public health. Geographic topology with coordinated climate impacts on key water sources could trigger regional humanitarian crises.

Crisis Scenarios: Drought, Flooding, Infrastructure Damage

73 Critical Systems Cascade Risk: HIGH

🏠 Shelter & Settlement

MEDIUM

Emergency shelters, refugee camps, and displacement coordination networks including housing, camps management and protection services. Network topology is more resilient due to distributed management.

Crisis Scenarios: Mass Displacement, Conflict Zones

95 Key Sites Cascade Risk: MEDIUM

Step 2: Crisis Scenario and Impact Configuration

Crisis Scenario Modeling

Select crisis scenario types and impact vectors for humanitarian response planning. SOC parameters will be automatically configured to match potential crisis patterns and cascade dynamics.

Select Crisis Scenario Type

🌡️ Climate Emergency

C-1

Extreme weather events, droughts, floods, and temperature anomalies causing cascading failures across agricultural, water, and shelter systems with long-term impact patterns.

Primary Impacts:

Agricultural Disruption Water Scarcity Mass Displacement

SOC Parameters: β=0.95 (high redistribution), θ=0.75 (slow onset)

🦠 Disease Outbreak

C-2

Pandemic or epidemic outbreaks overwhelming healthcare systems and triggering cascading failures across health, food distribution, and shelter networks.

Primary Impacts:

Health System Overload Social Distancing Supply Chain Impact

SOC Parameters: β=0.92 (rapid spread), θ=0.65 (exponential growth)

⚔️ Conflict Crisis

C-3

Armed conflict, civil unrest, or political instability causing targeted destruction of infrastructure and mass population displacement affecting all humanitarian systems.

Primary Impacts:

Infrastructure Damage Mass Displacement Access Restrictions

SOC Parameters: β=0.88 (targeted impact), θ=0.70 (deliberate disruption)

💸 Economic Collapse

C-4

Financial system collapse, hyperinflation, or severe economic downturn affecting purchasing power, government services, and humanitarian funding cascading through all systems.

Primary Impacts:

Funding Cuts Service Reduction Social Unrest

SOC Parameters: β=0.90 (economic focus), θ=0.80 (systemic failure)

Crisis Scenario Configuration

Crisis Onset Pattern

Determines crisis pattern and SOC simulation timing parameters

Primary Impact Vector

Affects initial stress distribution and propagation patterns

Crisis Severity Level

Influences cascade failure thresholds and propagation dynamics

Population Context

Affects population resilience and crisis impact intensity parameters

Advanced SOC Parameters (Auto-configured based on selections)

Stress Redistribution (β)

0.92

Auto-set based on crisis type

Failure Threshold (θ)

0.75

Based on system resilience

Crisis Intensity (Δs)

0.15

Calibrated to crisis scenario

Analysis Timeframe

30 days

Critical response window

SOC Crisis Analysis in Progress

Analyzing humanitarian crisis cascade scenarios...

Initializing crisis simulation...

Real-time Analysis

Establishing baseline humanitarian system state...

Executive Summary

CRITICAL

Overall Crisis Risk

87%

System Cascade Probability

4.2d

Time to System Cascade

HIGH

Population Impact Level

Key Findings

Critical Systems

Crisis Pathways

Response Strategies

Early Warning

Technical Analysis

Most Vulnerable Systems

Critical humanitarian systems that, if overwhelmed, would trigger the most severe cascade failures.

SOC Humanitarian Crisis App

Step 1: Select Humanitarian System

🌾 Food Security Network

🏥 Health System Network

💧 Water & Sanitation

🏠 Shelter & Settlement

Step 2: Crisis Scenario and Impact Configuration

Crisis Scenario Modeling

Select Crisis Scenario Type

🌡️ Climate Emergency

🦠 Disease Outbreak

⚔️ Conflict Crisis

💸 Economic Collapse

Crisis Scenario Configuration

Advanced SOC Parameters (Auto-configured based on selections)

SOC Crisis Analysis in Progress

Real-time Analysis

Humanitarian System Stress Visualization

Executive Summary

Key Findings

Most Vulnerable Systems

Critical Dependencies

Most Dangerous Crisis Sequences

Initial Crisis Vectors

Recommended Preparedness Measures

Early Warning Systems

Monitoring Requirements

Crisis Indicators

SOC Model Parameters

System Network Analysis