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Geopolitical Crisis Escalation Scenarios
Crisis event timelines with escalation dynamics and resolution patterns
Publisher: Alerterra Intelligence | Version: 1.0 | Updated: March 2026
Overview
This dataset is part of the Alerterra Synthetic Intelligence Data Suite — 107 records across 28 fields, generated using domain-specific AI models trained on patterns from Alerterra's enterprise intelligence platform.
100% synthetic — zero PII, zero real entity data. Safe for AI/ML model training, system testing, compliance demonstrations, and analyst training.
Use Cases
- Train risk prediction models on realistic crisis escalation patterns
- Stress-test insurance portfolios against geopolitical event scenarios
- Build and validate early warning systems for crisis detection
- Train analysts on escalation dynamics and de-escalation factors
- Backtest investment strategies against historical crisis patterns
Dataset Structure
| Metric | Value |
|---|---|
| Records | 107 |
| Fields | 28 |
| Formats | CSV, JSON, Parquet |
| Update Frequency | Monthly |
Fields
| Field | Type | Description |
|---|---|---|
event_id |
object | Event Id |
event_type |
object | Event Type |
region |
object | Region |
country_iso3 |
object | Country Iso3 |
city |
object | City |
latitude |
float64 | Latitude |
longitude |
float64 | Longitude |
start_date |
object | Start Date |
end_date |
object | End Date |
severity_initial |
int64 | Severity Initial |
severity_peak |
int64 | Severity Peak |
severity_current |
int64 | Severity Current |
escalation_rate |
float64 | Escalation Rate |
duration_days |
int64 | Duration Days |
affected_population |
int64 | Affected Population |
displacement_count |
int64 | Displacement Count |
casualties |
int64 | Casualties |
international_response |
bool | International Response |
un_involvement |
bool | Un Involvement |
media_coverage_level |
object | Media Coverage Level |
economic_impact_usd |
float64 | Economic Impact Usd |
key_actors |
object | Key Actors |
escalation_triggers |
object | Escalation Triggers |
resolution_factors |
object | Resolution Factors |
status |
object | Status |
risk_dimensions_affected |
object | Risk Dimensions Affected |
secondary_effects |
object | Secondary Effects |
data_quality_flag |
object | Data Quality Flag |
Sample Data
This repository contains a free sample (100 records). The full dataset and monthly refresh subscriptions are available at alerterra.com.
Pricing
| Tier | Details |
|---|---|
| Sample | Free (100 records) |
| Standard | $3,000 (10K events, one-time) |
| Professional | $10,000/year (monthly refresh + new events) |
| Enterprise | $30,000-$200,000/year (custom scenarios, API, integration) |
Methodology
Generated using Claude AI with domain-specific context injection encoding Alerterra's intelligence platform expertise (Vigila, Tradana, Gradara, Condura, Scrutera, RegSeal). Every dataset undergoes automated statistical validation, correlation analysis, and domain-specific business rule checks.
Citation
@dataset{alerterra_crisis_scenarios_2026,
title = {Geopolitical Crisis Escalation Scenarios},
author = {Alerterra Intelligence},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/alerterra/crisis_scenarios}
}
Contact
- Website: alerterra.com
- Data inquiries: data@alerterra.com
- Enterprise: enterprise@alerterra.com
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