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Jefferson edited this page May 15, 2026 · 2 revisions

Legacy Projects

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Historical implementations and research projects in legacy/. These demonstrate foundational concepts and technical breadth across healthcare, education, AI, and simulation domains.

Dark Campus

legacy/dark-campus/

An agent-based model exploring attention distribution on a college campus, inspired by the metaphor of light pollution drowning out stars.

The Metaphor

City lights drown out the stars — dominant factors (NIL deals, high-visibility groups) obscure the needs of less visible groups (e.g., mathletes needing wellness support). A "dark city" self-imposes bylaws to limit light pollution, enabling everyone to see the stars.

The Simulation

Models StudentGroup agents (Athletes, Mathletes, DramaClub, DebateTeam) competing for campus attention. A "Fairness Policy" bylaw is introduced mid-simulation that taxes high-attention groups and redistributes to high-need groups.

Key parameters:

  • 55 agents across 4 group types
  • Athletes: high visibility (0.5–0.8), low need (0.1–0.4)
  • Mathletes: low visibility (0.05–0.2), high need (0.7–1.0)
  • Bylaw activates at step 50 of 100, with 15% tax rate

Output: campus_attention_model_output_v2.csv for Tableau analysis Visualization: dark-campus-dash.twb (Tableau workbook)

Family FHIR

legacy/family-fhir/

A "Family Charter" concept that translates insurance policy exclusions into actionable behavioral bylaws for high-net-worth families.

Three-Phase Process

  1. Audit — Consolidate insurance portfolio into structured dataset
  2. Risk Matrix — Identify and quantify Value at Risk per behavior (e.g., $5M primary residence at risk from missing flood insurance)
  3. Family Charter — Convert exclusions into plain-language family rules

Example bylaw: "The Classic Car is not to be driven more than 2,500 miles/year, as this would void insurance coverage on a $250,000 asset."

Humanitarian Gambit

legacy/humanitarian-gambit/

A game theory simulation exploring how international debt priority structures could be altered through humanitarian burden-sharing.

The Core Mechanism: Priority Swap

"Responsibility to Protect implies Right to Collect" — any country that accepts refugees from a debtor nation gains senior priority status on that nation's natural resources.

The Lithium Gambit Scenario

  • Country C1 (Salara): $10B lithium reserves, politically unstable
  • Country B1 (EastBloc): $6B senior debt
  • Country A1 (WestFed): $5B junior debt (out of the money)
  • 100,000 refugees at $25K each = $2.5B hosting cost

Under the Priority Swap, WestFed spends $2.5B on refugees to secure full $5B repayment — a net $2.5B profit.

Three Dark Equilibria

  1. Predatory Humanitarianism — Junior creditors incentivized to destabilize source nations
  2. Credit Market Collapse — Senior lenders stop lending to unstable nations
  3. Human Collateral — Source nations weaponize population displacement for debt restructuring

Run: python3.10 simulation.py Output: simulation_results.png — Multi-panel visualization dashboard

AI Trailblazers

legacy/ai-trailblazers/Jan2026-hackathon/

Hackathon materials from January 2026, bridging the gap between AI-literate and non-literate communities. Led by Aaron Eden and Maria Eden.

Files:

  • ai-trailblazers-hackathon.xml — Project structure
  • hackathon-resources.csv — Resource list
  • hackathon-tasks.csv — Task breakdown

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