The Intervention Stability System (ISS) is an analytical framework designed to evaluate system stability, identify dominant destabilizing forces, detect coupled failure conditions, and support intervention planning before collapse conditions emerge.
ISS models stability as the balance between system capacity and destabilizing forces, providing users with interpretable diagnostics, driver analysis, coupling detection, intervention recommendations, and stability visualizations.
Version 1.0 provides an interactive workbench implemented in Google Colab and a browser-based visualization environment for scenario exploration and analytical experimentation.
ISS Tool v1.0 includes:
- Interactive ISS Workbench (Google Colab)
- Stability Gap and ISS Score calculations
- Driver dominance analysis
- Coupling detection and classification
- Dynamic stability indicators:
- Velocity
- Acceleration
- Time-to-Meaningful Instability (TMIT)
- Intervention recommendation engine
- Scenario simulation environment
- Comparative analysis functions
- Validation test suite
- Visualization dashboard
- Open the provided Google Colab notebook.
- Execute notebook initialization cells.
- Run all required setup cells.
- Launch the ISS Workbench interface.
- Adjust input parameters using the control panel.
- Review diagnostics, visualizations, and intervention outputs.
The notebook executes entirely within Google Colab and does not require local installation.
The web visualizer provides a browser-based interface for exploring ISS behavior.
Users may adjust:
- Mission Coherence (m)
- Resilience (r)
- Pressure (p)
- Alignment (a)
- Divergence (d)
The system automatically recalculates:
- Stability Gap
- ISS Score
- State Classification
- Driver Dominance
- Coupling Conditions
- Intervention Recommendations
Visualizations update dynamically as conditions change.
Measures clarity of purpose and shared direction.
Measures the ability to absorb disruption and recover.
Measures operational and environmental stress.
Measures consistency between intended and actual behavior.
Measures deviation between expected and observed system behavior.
ISS v1.0 is a decision-support framework and should not be interpreted as a predictive oracle.
Current limitations include:
- Simplified representation of complex systems
- Five-variable model structure
- Limited temporal forecasting capability
- Controlled validation environment
- No domain-specific calibration
- No historical learning mechanism
- No automated external data ingestion
Outputs should be interpreted as analytical indicators rather than definitive predictions.
ISS is intended to support analysis, diagnosis, intervention planning, and educational exploration.
The framework should not be used to:
- Automate consequential decisions without human review
- Evaluate or penalize individuals
- Create false certainty regarding future outcomes
- Replace domain expertise or operational judgment
- Justify actions solely on the basis of model output
Human interpretation remains essential.
ISS v1.0 has been validated against five baseline test scenarios:
- Stable
- Pressure Driven
- Divergence Driven
- Alignment Collapse
- Coupled Failure
All baseline validation scenarios produced expected results for:
- State classification
- Driver attribution
- Coupling detection
- Intervention recommendation generation
If you use ISS in research, presentations, derivative work, or analytical applications, please cite:
Brooks, Caroline Suzanne. Intervention Stability System (ISS) Workbench v1.0. 2026.
Intervention Stability System (ISS)
Created by Caroline Suzanne Brooks
Version 1.0
June 2026