Introduction
The Biology of Money proposes that money is more than a medium of exchange. It can also be understood as an information system that influences decisions, behaviours and the allocation of resources. The research programme investigates whether monetary systems designed around ecological, social and economic feedback can improve regeneration and resilience.
Historical Background
Central Research Question
Can monetary systems designed to transmit ecological, social and economic information improve regeneration and resilience without creating unacceptable losses in economic performance?
Program Logic
Information → Monetary Signal → Incentive → Behaviour → Ecological/Social Outcome → Feedback → Adaptation
The framework is based on five biological principles: circulation, diversity, cooperation, adaptation and regeneration.
Ten Scientific Protocols
H1 Money as Information
Tests whether ecological information embedded in monetary incentives changes decisions.
H2 Regenerative Rewards
Measures additional ecological outcomes created by incentives.
H3 Persistence
Examines whether behaviour continues after incentives end.
H4 Ecological Feedback
Studies capital allocation guided by ecological indicators.
H5 Adaptive Rules
Compares adaptive incentives with static incentives.
H6 Multiple Monetary Functions
Evaluates specialised monetary functions.
H7 AI Monetary Intelligence Layer
Tests AI-assisted allocation and decision making.
H8 Multiple Capitals
Integrates natural and social capital with finance.
H9 Living Treasury
Compares regenerative treasury allocation with conventional finance.
H10 Regenerative Resilience
Measures resilience to ecological, social and economic shocks.
Research Detail
Across all protocols, hypotheses are preregistered, effect sizes are reported, additionality is measured where possible, and causal identification is prioritised through experimental or quasi-experimental designs. The programme advances through evidence gates, requiring cumulative validation before any strong claim about the Biology of Money framework can be made.
Cross-Protocol Data Architecture
The common framework includes economic, ecological, social, monetary and resilience indicators. Examples include productivity, ROI, biodiversity, soil carbon, trust, participation, treasury flows, recovery time and systemic losses.
Open Science
Protocols should be preregistered, code archived, null results published and replication encouraged. The objective is transparent scientific validation rather than advocacy.
Minimum Evidence Standard
The strongest version of the Biology of Money theory requires evidence that monetary information changes decisions, generates additional regenerative outcomes, persists over time, improves allocation, benefits from adaptive architectures and ultimately strengthens systemic resilience.