Aidstack Disasters
Intelligence for impact workers
Live GDACS & ACLED Integration

Admin-Level Intelligence
for Humanitarian Operations

Upload administrative boundaries, select the admin areas that matter, and combine live disasters, conflict data, population, OSM infrastructure, and Earth Engine hazard context in one auditable workspace.

Evidence-GatedForecast, operational outlook, and prioritization only score hazards when the required evidence layers are enabled. Every result includes drivers, sources, and limitations for review.
Admin-FirstAnalysis Workflow
1000+Facility Assessments
AuditableHazard Evidence
disasters.aidstack.ai/app
Aidstack Disasters
Live hazards with facility impact context
211 safe
34 impacted
Flood corridor
ACLED loaded
WorldPop active
Flood
Bridge risk
ACLED
Map Focus
Northern River Belt
34 facilities within the current hazard corridor. Priority admin areas are highlighted for the next 72 hours.
AI Brief
Selected hotspot: River transport corridor
34
Facilities
5
Areas
High
Risk
Recommended next move
Enable Flood Context, review logistics coverage, and pre-position mobile teams west of the flood corridor before road access drops.
Flood readiness: Ready
Conflict incidents in nearby districts: 3
Population in affected catchment: 184K
Playback: last 72 hoursMar 19 - Mar 22

From Disaster Alert to Action Plan in Minutes

Real-Time Awareness

  • Live GDACS disaster data
  • CAP XML polygon impact zones
  • ACLED CSV upload support
  • Automatic updates every refresh

Instant Impact Assessment

  • Upload facilities via CSV or Excel
  • Upload shapefiles for admin boundaries
  • Select admin areas before running analysis
  • Scope all analysis to the uploaded boundaries

Auditable Decision Support

  • Operational Outlook grounded in structured evidence
  • Prioritization Board for selected admin areas
  • Flood and Drought Context overlays from Google Earth Engine
  • District hazard scores with visible drivers and sources
  • Operation viability (GO/CAUTION/DELAY/NOGO)
  • Chat and decision views share the same admin-level context
COMPREHENSIVE FEATURE SET

Everything You Need for Data-Driven Decisions

From uploaded administrative boundaries to auditable hazard scoring, the workspace keeps forecast, outlook, and prioritization aligned on the same evidence.

WorldPop Integration

Google Earth Engine-powered population statistics with age-sex breakdowns

  • Real-time population heatmaps
  • Vulnerable population identification (under-5, over-60)
  • Age-sex demographic breakdowns
  • Area-level population statistics

Admin-Level Decision ViewsExperimental

Forecast, operational outlook, and prioritization all use the same selected admin areas and shared hazard evidence

  • Admin-level forecast scoring
  • Operational Outlook with evidence-linked narrative
  • Prioritization Board for selected admin areas
  • Shared drivers, sources, and limitations

Operation Viability AssessmentExperimental

GO/CAUTION/DELAY/NOGO decisions for humanitarian operations at facility or batch level

  • Multi-facility batch assessment
  • Area-level operation readiness
  • Operation-specific risk scoring
  • HTML/PDF decision brief export

Nighttime Lights CompareExperimental

Compare two VIIRS monthly night-light composites with a before/after swipe directly on the map

  • Visible month labels for both dates
  • Before/after vertical swipe control
  • Monthly VIIRS history through Google Earth Engine
  • Supports district context and anomaly review

Hazard Context OverlaysExperimental

Google Earth Engine overlays that support flood and drought screening before hazards are scored

  • Flood Context from terrain and surface water baseline
  • Drought Context from CHIRPS and ERA5-Land
  • Overlay on top of any basemap
  • Required evidence for hazard scoring

Advanced Security Analysis

Security risk scoring from uploaded ACLED CSV exports with proximity zones

  • Upload ACLED CSV files downloaded from your ACLED account
  • Filter uploaded events by country in-app
  • Security zones (0-10km, 10-25km, 25-50km, 50-100km)
  • CRITICAL/HIGH/MEDIUM/LOW classifications
  • Incident aggregation by zone

Drawing & Annotation Tools

Freehand drawing tools for operational planning

  • Customizable colors
  • Area measurement
  • Route planning
  • Annotation persistence

Timeline Visualization

Replay disaster evolution with adjustable playback speed

  • Progressive event visualization
  • Speed control (0.5x to 2x)
  • Play/pause animation
  • Temporal pattern analysis

AI Chatbot with Web SearchExperimental

Context-aware AI assistant with real-time information

  • Real-time web search integration
  • Admin area interaction intents
  • Streaming responses
  • Context-aware recommendations

Disaster Risk MonitoringExperimental

Admin-level hazard screening with visible drivers, readiness gates, and evidence-linked scoring

  • Flood, drought, and heat hazard views
  • Scores withheld until required layers are enabled
  • Drivers, sources, and limitations shown for every result
  • Shared evidence across forecast, outlook, and prioritization

Multiple Basemap Options

Switch between standard basemaps and Earth Engine visual layers for context review

  • OpenStreetMap standard view
  • Satellite imagery
  • Terrain visualization
  • Nighttime lights with date compare

Multiple Operation Types

Pre-configured analysis templates for major humanitarian operations

  • Immunization campaigns
  • Malaria control
  • WASH interventions
  • Mental health & psychosocial support
  • Nutrition/RUTF distribution
  • Disease surveillance

Export & Reporting

Generate decision briefs and operation-readiness reports

  • HTML/PDF export
  • Individual facility briefs
  • System-wide readiness reports
  • Custom report templates

The Challenge

Humanitarian organizations struggle to quickly assess which of their facilities are at risk when disasters strike. Manual monitoring across multiple data sources wastes critical response time.

The Solution

Aidstack Disasters consolidates global disaster data, district-scoped evidence, and AI decision support in one visual interface so operators can move from raw signals to reviewable judgments faster.

100+
Disasters Monitored
1,000+
Facilities Assessed
<30s
AI Analysis Time
ONE PLATFORM, MULTIPLE OPERATIONS

Purpose-Built for Operational Excellence

From emergency response to strategic planning, get real-time intelligence for every critical decision

Immunization Campaigns

Track vaccination coverage, map refusals, quantify missed children, and pause campaigns in conflict zones

  • Campaign coverage tracking
  • Refusal hotspot mapping
  • Conflict impact analysis
  • Catch-up needs calculation
Example Query
"Calculate total missed children in admin areas affected by 14+ day interruptions"

Cholera/OCV Response

Joint WASH-OCV planning for flood-affected areas with disease surveillance integration

  • Flood-cholera correlation
  • WASH access mapping
  • OCV prioritization
  • Emergency response targeting
Example Query
"Identify admin areas with floods + low WASH + high cholera cases needing urgent intervention"

Humanitarian Access

Safety assessments for field teams with real-time conflict tracking and admin-area risk scoring

  • ACLED conflict events
  • No-go zone identification
  • Route safety scoring
  • Access timeline planning
Example Query
"Show which supply routes are safe this week based on recent security incidents"

Supply Chain Risk

Identify warehouse vulnerabilities and predict disruptions from disasters and conflict

  • Pre-positioning recommendations
  • Route risk assessment
  • Disruption forecasting
  • Multi-hazard analysis
Example Query
"Predict supply disruptions for next 2 weeks based on weather patterns and conflict trends"

Disease Surveillance

Map outbreak hotspots, track transmission patterns, and plan rapid response deployments

  • Case clustering analysis
  • Transmission corridors
  • Coverage gap correlation
  • Zero-dose targeting
Example Query
"Identify polio transmission corridors and recommend rapid response team locations"

Multi-Sector Assessment

Integrated analysis across health, WASH, protection, and shelter with weather-aware forward-looking scenarios

  • Operational Outlook
  • Weather-integrated planning
  • Timeline playback analysis
  • Early warning indicators
Example Query
"Generate operational outlook with weather forecasts to plan campaigns for the next 2 weeks"

Malaria Control

ITN distribution planning with environmental risk assessment

  • Vector breeding site analysis
  • Seasonal transmission forecasting
  • Distribution network optimization
  • Flood impact on ITN campaigns
Example Query
"Identify high-transmission zones requiring urgent ITN distribution before rainy season"

WASH Interventions

Water point vulnerability and emergency WASH needs assessment

  • Flood-affected water point mapping
  • Contamination risk zones
  • Emergency latrine needs calculation
  • Hygiene kit distribution planning
Example Query
"Calculate emergency WASH needs for flood-affected admin areas with damaged water infrastructure"

Mental Health & Psychosocial Support

Trauma-affected population mapping and service gap analysis

  • Conflict-affected area prioritization
  • Service coverage gap analysis
  • Safe space site selection
  • Counselor deployment planning
Example Query
"Identify admin areas with high conflict exposure and no MHPSS services"

Nutrition/RUTF Distribution

Acute malnutrition response with supply chain optimization

  • Drought-malnutrition correlation
  • RUTF cold chain risk assessment
  • Distribution site accessibility
  • SAM case load forecasting
Example Query
"Predict SAM caseload increase in drought-affected admin areas and plan RUTF pre-positioning"
DATA-AGNOSTIC APPROACH

Upload Any Data, Get Instant Intelligence

No custom development needed. Upload any CSV with coordinates and select which columns to analyze.

1

Upload Your Data

Any CSV with lat/long: facilities, vaccination sites, warehouses, disease cases, etc.

2

Select AI Fields

Choose columns for AI analysis: population, coverage, cases, refusals, partner, etc.

3

Add Context Layers

Upload ACLED CSV exports and admin boundaries for area-level risk assessment and country filtering

4

Ask Questions

Natural language queries: "Which admin areas need catch-up campaigns?"

Visual Differentiation at a Glance

Facilities
Square markers
Safe
square
Impacted
square
ACLED Events
Circular markers
Battles
circle
Violence
circle
Protests
circle
Admin Area Risk
Filled polygons
None
polygon
Low
polygon
Medium
polygon
High
polygon
Very High
polygon

Intelligence for Every Stage of Response

Humanitarian Organizations

Protect field staff by identifying high-risk areas before deployment

Emergency Response Teams

Prioritize which facilities need immediate assistance during multi-disaster events

Program Managers

Determine operation feasibility by analyzing security, hazard, and access risks

Logistics Coordinators

Optimize supply routes by avoiding disaster impact zones

From Data to Decision in Five Steps

1

Load Live Disasters, Conflict, and Boundaries

Access live GDACS disaster data, upload ACLED CSV exports from your ACLED account, and upload a shapefile with the administrative boundaries you want to analyze

2

Select Admin Areas and Add Context

Choose the admin areas that matter, then load facilities, WorldPop population, OSM infrastructure, optional hazard context overlays, and nighttime lights when needed

3

Enable Evidence Layers Before Forecasting

Turn on Flood Context, Drought Context, or Nighttime Lights when needed so the workspace can use loaded evidence instead of guessing from forecast or map context alone

4

Review Forecast, Outlook, and Prioritization

Use the shared admin-level analysis pipeline to compare hazard drivers, read the Operational Outlook, and rank selected admin areas in the Prioritization Board

5

Export and Brief Stakeholders

Use the map, annotations, and decision outputs together to produce evidence-based briefings and reviewable recommendations for coordination and planning

Trusted Global Data Sources

GDACS

Global Disaster Alert and Coordination System

  • UN-backed disaster monitoring
  • 7 disaster types tracked
  • Updated continuously
  • CAP XML precision polygons
Visit GDACS

ACLED

Armed Conflict Location & Event Data Project

  • CSV exports downloaded with your ACLED account
  • Upload into the app for conflict overlays
  • Filter uploaded events by country
  • Geo-coded event precision
Get ACLED data

WorldPop

WorldPop Global 2 via Google Earth Engine

  • High-resolution population grids
  • Age and sex disaggregation
  • Global coverage
  • App supports 2015-2030 WorldPop years

This app uses WorldPop Global 2 collections through Google Earth Engine, including total population and age-sex layers across the 2015-2030 range.

Visit WorldPopView exact GEE collections used

Common Questions

Ready to Transform Your Disaster Response?

Start monitoring global disasters and protecting your facilities today