๐Ÿ“‹ Methodology

Data sources, uncertainty framework, and how AfroConflict works

โš ๏ธ Important Disclaimer

AfroConflict aggregates data from ACLED, UCDP, UNHCR, IDMC, SIPRI, the World Bank, UN agencies, and curated research literature. All figures are estimates with inherent uncertainty ranges. Fatality figures in particular are notoriously difficult to verify in active conflict zones and should be treated as order-of-magnitude estimates only. Displacement figures lag real-time conditions by weeks to months. Economic impact figures are modelled estimates, not official accounting.

AfroConflict is an analytical tool, not a news service. It does not take political positions on any conflict. Conflict classification (who is the aggressor, which group is "rebel" vs "state") reflects standard academic definitions from UCDP/ACLED and does not constitute editorial endorsement. Conflict economy actors are listed based on evidence-graded research and UN Panel of Experts reports โ€” these are research listings, not legal determinations, and do not constitute accusations of wrongdoing.

Scenario forecasts are model estimates based on analyst research and historical conflict patterns. They are not predictions and carry wide uncertainty ranges. The base case represents the most likely trajectory given current conditions; optimistic and worst-case scenarios represent plausible but less likely outcomes. No forecast should be used as the sole basis for operational, financial, or safety decisions.

Data Sources

Source What We Use It For Update Frequency Access
ACLED
Armed Conflict Location & Event Data
Conflict events (battles, explosions, protests, fatalities), geo-coordinates, actor names, event dates Weekly (lagged ~1 week) API Key Required
UCDP
Uppsala Conflict Data Program
Conflict classification (interstate/intrastate/non-state), conflict start dates, battle-related deaths (annual) Annual Open
UNHCR
Refugee Data Finder
Refugee counts by country of origin, asylum country, year. Returnee figures. Annual (mid-year updates) Open API
IDMC
Internal Displacement Monitoring Centre
IDP (internally displaced persons) counts by country and crisis, new displacement events Annual (emergency updates) Open
SIPRI
Stockholm International Peace Research Institute
Military expenditure data (% of GDP, USD constant), arms transfers, conflict databases Annual Open
World Bank Open Data GDP growth rate (NY.GDP.MKTP.KD.ZG), military expenditure % GDP (MS.MIL.XPND.GD.ZS), poverty headcount Annual (1โ€“2yr lag) Open API
UN Panel of Experts Reports Conflict economy actors (smuggling networks, arms brokers, resource extraction financing), sanctions lists Per-mandate cycle (~annual) Open
FAO / WFP Food insecurity data (IPC phases), famine declarations, conflict-food nexus analysis Periodic Open
Analyst Research
Manual curation
Scenario forecasts, stage classifications, foreign backer analysis, conflict narrative summaries, economy actor evidence As updated via admin Internal

Conflict Classification Framework

Conflict Types
  • Interstate โ€” War between two or more states
  • Intrastate โ€” Civil war / rebellion within a state
  • Non-state โ€” Fighting between non-government armed groups
  • Communal โ€” Ethnically or religiously motivated violence
  • Jihadist Insurgency โ€” Religiously-motivated armed groups
  • Coup / Political Crisis โ€” Violent transfer of state power
Escalation Risk Levels
  • โ— Critical โ€” Active mass casualty events, territory rapidly changing hands
  • โ— High โ€” Frequent combat, significant civilian casualties
  • โ— Medium โ€” Sporadic violence, ongoing but contained
  • โ— Low โ€” Infrequent incidents, mostly stable
  • โ— Minimal โ€” Largely resolved, rare isolated incidents
Conflict Stage (1โ€“6)
  • 1 โ€” Pre-conflict: Tension, no armed violence
  • 2 โ€” Escalation: Armed clashes intensifying
  • 3 โ€” War: Full-scale armed conflict
  • 4 โ€” Stalemate: Neither side can win militarily
  • 5 โ€” De-escalation: Ceasefire, peace talks
  • 6 โ€” Post-conflict: Settlement, reconstruction

Conflict Economy Methodology

The conflict economy section tracks actors who benefit financially from the continuation of a conflict. This is distinct from tracking combatants. Economy actors include: natural resource extractors (licit and illicit), arms suppliers, humanitarian aid contractors, foreign businesses operating in conflict zones, and financial intermediaries.

Evidence Levels
  • โ— Confirmed โ€” Court judgment, UN PoE finding, or documented transaction
  • โ— Strong โ€” Corroborating investigative journalism + official report
  • โ— Circumstantial โ€” Single credible source, plausible but unconfirmed
  • โ— Alleged โ€” Reported but disputed or unverified
Primary Source Hierarchy
  1. UN Panel of Experts final reports
  2. International Criminal Court indictments
  3. OFAC / EU sanctions designations
  4. NGO investigative reports (Global Witness, PAX)
  5. Investigative journalism (Reuters, BBC Africa Eye)
  6. Academic peer-reviewed conflict finance literature
Legal Notice

Inclusion of any entity in the conflict economy section does not constitute an accusation of criminal wrongdoing. These are research listings for analytical purposes. For legal determinations, consult official sanctions databases and court records. Corrections can be submitted via the contact form below.

Forecast Methodology

AfroConflict scenario forecasts are manually developed by analysts using a structured scenario planning framework, informed by historical conflict duration data and current conflict indicators.

๐ŸŸข Optimistic Scenario

Assumes best-case resolution mechanisms activate: effective mediation, military stalemate leading to negotiations, foreign backer disengagement, or battlefield reversal that forces a settlement. Duration estimate reflects time to ceasefire + initial settlement. Trigger conditions are explicitly listed.

๐ŸŸก Base Case Scenario

Most probable trajectory given current indicators: continuation of existing dynamics, incremental changes in control, no dramatic escalation or resolution. Based on similar historical conflict duration patterns from UCDP data and analyst assessment of current conflict dynamics.

๐Ÿ”ด Worst Case Scenario

Assumes escalation vectors activate: regional spillover, increased foreign military involvement, humanitarian catastrophe, or political collapse in affected states. Duration may be "indefinite" for entrenched conflicts. Trigger conditions identify what would push toward this scenario.

Confidence percentages represent analyst-assessed probability that the scenario becomes the actual outcome within the forecast horizon. Confidence levels for all three scenarios do not sum to 100% โ€” they represent independent probability assessments per scenario. Forecasts are reviewed and updated when material changes occur in a conflict.

Update Frequency

Data Type Sync Method Frequency Lag
Conflict Events (battles, fatalities) ACLED API (automated) Daily at 03:00 UTC 1โ€“7 days
Displacement Figures (IDPs, refugees) UNHCR API (automated) Daily at 03:00 UTC Weeks to months
GDP / Economic Indicators World Bank API (automated) Daily at 03:00 UTC 1โ€“2 years
Conflict Narratives / Stage Manual (admin panel) As events warrant Variable
Scenario Forecasts Manual (admin panel) Per-conflict review cycle Variable
Economy Actors Manual (admin panel) When new reports published Variable

Scope and Limitations

โœ“ In Scope
  • Armed conflicts with โ‰ฅ25 battle-related deaths/year (UCDP threshold)
  • Active insurgencies and protracted low-intensity conflicts
  • Displacement crises linked to armed conflict
  • Global conflicts with direct African economic impact (commodity, trade, remittance)
  • Political violence by non-state armed groups
โœ— Out of Scope
  • Criminal gang violence (unless meeting UCDP threshold)
  • Electoral violence below armed conflict threshold
  • Individual terrorist incidents (tracked in events but not primary)
  • Historical resolved conflicts (archive only)
  • Near-real-time battlefield tracking

Corrections & Contact

We take data accuracy seriously. If you identify an error in conflict data, believe an economy actor entry is incorrect, or have access to primary source documents that would improve our analysis, please contact us.

๐Ÿ“ง Submit a Correction ACLED Data โ†— UNHCR Data โ†— SIPRI โ†—

Model version: manual-v1 ยท Last methodology review: March 2026 ยท AfroConflict is a tool of AfroTools Africa Ltd. ยท Not affiliated with any government, military, or intelligence agency.