OSINT Fusion & Probabilistic Forecasting for Decision Superiority
Decision support module delivering calibrated conflict forecasts, automated scene-setting, and natural language operational queries. Designed to integrate into NATO's digital warfighting platforms and support multi-domain operations.
An overview of the operational challenge Logicon addresses, how it augments the COP, the five DIANA Exemplar Effects it delivers, and current calibration performance.
The Operational Challenge
Static Plans in Dynamic Environments
The operational planning process is constrained by linear workflows and data that does not update dynamically. When real-world events unfold differently from initial assumptions, static plans lose relevance across tactical, operational, and strategic echelons.
Unstructured Data, No Synthesis
Analysts face thousands of signals daily: conflict events, ISR feeds, sanctions lists, OSINT, macro indicators. No single operator can fuse these multi-domain data streams into actionable intelligence at the speed required for situational understanding.
Opaque Assessments Without Calibration
Most forecasting tools produce scores without explanation or accountability. Without calibration metrics and audit trails, there is no systematic way to conduct operations assessment, measure whether predictions improve, or incorporate lessons learned.
How Logicon Augments the Common Operating Picture (COP)
Multi-Source Intelligence Fusion
Conflict events (ACLED, UCDP), news intelligence (GDELT), sanctions (OpenSanctions), macro indicators (FRED), governance indices (V-Dem, WGI). All sources are unified into 32-feature operational vectors per region, per time step. The 18 base features are expanded with temporal derivatives and interaction terms, fusing multi-source OSINT into a coherent situational awareness layer for the COP.
Calibrated Probabilistic Forecasting
Every prediction includes calibrated probability P, confidence interval [CI_low, CI_high], time horizon, and ranked key drivers. Isotonic calibration ensures when Logicon says P=0.35, roughly 35% of such predictions resolve positively.
Self-Learning with Drift Detection
Autonomous self-learning pipeline: as outcomes resolve, the system retrains, recalibrates, validates out-of-sample, and activates updated models — without manual intervention.
Exemplar Effects Addressed
Probabilistic Modelling & Optimisation (Effect #3)
Multi-model ensemble with isotonic calibration explores complex operational dynamics through probabilistic forecasting and simulation-based validation.
Automated Scene-Setting (Effect #5)
Auto-generates intelligence briefings per region: current situation compiled from OSINT, top drivers from feature vector, 30/90-day trends, and base/upside/downside scenarios with probabilities.
Operational Planning Support (Effect #6)
Calibrated forecasts feed directly into the operational planning process, supporting Intelligence Preparation of the Battlespace (IPB), Course of Action (COA) development, operations assessment, and lessons learned. Full audit trail enables systematic post-operation review and doctrine refinement.
Natural Language Interface (Effect #9)
Operators query the system in plain English: "What is the escalation probability for NATO's Eastern Flank in the next 30 days?" Structured responses with source attribution and confidence levels.
Open-Source Data Integration (Effect #10)
Six open-source datasets spanning conflict events, media intelligence, sanctions, macro-economics, and governance. These sources enrich situational awareness and situational understanding across the COP for multi-domain operations.
Live Calibration
Data Sources
Designed for Integration with MSS NATO
Logicon is built as an API-first microservice, ready to augment existing digital warfighting platforms at Allied Command Operations (ACO) and JFC level. RESTful endpoints deliver probabilistic forecasts, pattern-of-life deviation alerts, scenario analysis, and intelligence briefings in JSON and GeoJSON formats, supporting decision superiority across the planning cycle.
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