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Repository Structure
Jefferson edited this page May 15, 2026
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riskrunners/
├── actuarial-tools/ # Exam prep, financial math, ISO risk data, research
├── legacy/ # Historical projects and proof-of-concepts
├── models/ # Standalone simulation models
├── platforms/ # Flagship platform implementations
├── project-crucible/ # NERIS fire data → ISO 31010 → iTAK/VisionPro
├── projects/ # Project plans (CSV) and prompt libraries
├── responsibility-futures/# R = I/N engine with Cortext.io integration
├── street-math/ # ISO 31010 screenplays
├── UA-RiskRunners-Presentation/ # University of Arizona talk materials
├── wiki/ # This wiki
├── CODEOWNERS # @jeffy893
├── LICENSE # MIT
└── README.md # Main repo overview
actuarial-tools/
├── Actuary_FM_EXAM/ # Financial Mathematics exam prep
│ ├── FM_EXAM_BREAKDOWN/
│ ├── FM_FORMULAS/
│ ├── FM_RESOURCES/
│ ├── FM_SAMPLE_EXAMS/
│ ├── FM_TEST_SOLUTIONS/
│ └── FM_TEXTS/
├── Actuary_P_EXAM/ # Probability exam prep
│ ├── P_EXAM_BREAKDOWN/
│ ├── P_FORMULAS/
│ ├── P_RESOURCES/
│ ├── P_SAMPLE_EXAMS/
│ └── P_TEXTS/
├── finance/
│ ├── ref/ # fin412.py, tvm.py
│ ├── stocks/ # Stock JSON data (AAPL, BA, IBM, etc.) + portfolio scripts
│ └── tvm/ # Time value of money: bond.py, duration, cash flows
├── fmptests/
│ ├── annuity/ # annuity.py, perpetuity.py
│ ├── bond/ # bond.py
│ └── interest/ # accumulation.py, basicInterest.py
├── ISO_RISK_DATA_MODEL/ # 17 CSV files implementing ISO 31000
├── lang-ref/ # Language references (Python, R, probability, TensorFlow)
├── Numerical_Methods/ # Random sampling methods
├── research/ # Parametric insurance, intangible goods, IoT data sources
└── README.md
platforms/
├── 01_riskrunners-integration/
│ ├── agentic-procurement/ # AWS Bedrock Claude procurement automation
│ └── lean-dream/ # Prolog-based risk factor reasoning
│ ├── housing/
│ ├── oil/
│ ├── persist/
│ └── semiconductors/
├── 02_schrodingers-fish/
│ ├── economic-overture/ # Behavioral economics + Prospect Theory models
│ ├── sugarscapes/ # NetLogo Sugarscape simulations + Sugar Oracle
│ ├── fish.py # Core simulation
│ └── simulation_output.csv
└── README.md
responsibility-futures/
├── src/
│ ├── cortext_integration.py # Cortext.io JSON processing
│ ├── enhanced_workflow.py # Complete workflow manager
│ ├── report_generator.py # HTML/PNG report generation
│ ├── responsibility-futures.py # Original algorithm
│ └── responsibility-index.py # Core R = I/N logic
├── docs/ # Research papers and theory
├── examples/ # example_usage.py
├── run_analysis.sh # Unix execution script
├── run_analysis.bat # Windows execution script
└── requirements.txt
projects/
├── 01_RiskRunners_Platform_Integration.csv # 90-day project plan
├── 01_RiskRunners_Platform_Integration_Prompts.csv # AI dev prompts
├── 02_Schrodingers_Fish_Simulation.csv # 75-day project plan
├── 02_Schrodingers_Fish_Simulation_Prompts.csv
├── 03_Actuarial_Risk_Assessment_Platform.csv # 85-day project plan
├── 03_Actuarial_Risk_Assessment_Platform_Prompts.csv
└── README.md
legacy/
├── ai-trailblazers/ # AI mentorship hackathon (Jan 2026)
├── dark-campus/ # Campus attention model (ABM + Tableau)
├── family-fhir/ # Insurance behavioral bylaws / Family Charter
└── humanitarian-gambit/ # Game theory: debt priority + refugee dynamics
models/
├── capital-lifecycle/ # S-curve life capital model (Python + matplotlib)
├── linguistics/ # French subjunctive and cultural analysis
└── pickleball/ # Ladder league simulation (Python + Tableau)
project-crucible/
├── src/
│ ├── config.py # Configuration, env vars, simulated data fallback
│ ├── neris_client.py # NERIS API client (OAuth2 + paginated fetch)
│ ├── simulated_data.py # Realistic AZ fire incidents for demo mode
│ ├── risk_analysis.py # ISO 31010 analyses (Bow Tie, FMEA, Decision Tree, Markov)
│ ├── tak_export.py # CoT Data Package + KML export for iTAK
│ ├── main.py # Orchestrator script
│ └── generate_pdf_report.py # PDF report with ABM context + TAK screenshots
├── context/ # Research notes, coalition reports, NERIS one-pager
├── images/ # TAK screenshots + ABM visualizations
├── output/ # Generated .zip (CoT), .kml, and .pdf
├── requirements.txt
└── README.md