Loading...
Loading...
A working instrument for measuring regeneration in institutional systems. Not final dogma—a live metric that makes regeneration operational.
What this is: A simple, interpretable index you can calculate quarterly, show in dashboards, and use with pilots. R-Index quantifies how regenerative a system is—whether a hospital, community fund, or climate infrastructure.
Formula
R* = G × B (B ≥ 0), else B
G = 0.51 · B = 0.00 → 0.00
Not regenerating: Either static (B = 0) or architecturally foreclosed (G = 0). The decomposition tells you which, and it matters: the first can be improved by behaviour, the second cannot.
Adjust each dimension based on your system assessment. Each score is 0–100.
How independent is capital from fragility cycles?
How well does capital cadence match mission cycles?
What fraction of deployed capital actually returns for redeployment?
How little value is taken out to capital providers?
Is system capability going up, flat, or down?
How well does capability hold up through a shock?
What share of mission cycles actually reach completion?
A visual introduction to R* and how it measures institutional regeneration.
Click to load baseline vs. PSC-enabled scenarios. See how regenerative architecture transforms system scores.
How each dimension is defined and assessed
"How independent is capital from fragility cycles?"
This measures structural independence from political cycles, annual budgets, donor mood, and short-term refinancing pressure.
| Score | Interpretation |
|---|---|
| 0–20 | Almost everything is annual, political, grant, debt → highly fragile |
| 20–40 | Some multi-year structures, but mostly fragility-tied |
| 40–60 | Meaningful chunk (30–50%) decoupled |
| 60–80 | Majority of flows are decoupled from fragility |
| 80–100 | Almost all capital behaves independently of fragility cycles |
"How well does capital cadence match mission cycles?"
This measures whether capital flows are synchronised with asset renewal needs—period (timing), phase (arrival), and amplitude (sufficiency).
| Score | Interpretation |
|---|---|
| 0–20 | Systemic under-renewal, frequent deferral, constant backlog |
| 20–40 | Some cycles hit, but lots of gaps |
| 40–60 | Hit many critical assets, but patchy coverage |
| 60–80 | Most core mission assets renewed on time |
| 80–100 | System is consistently on-cycle; almost no avoidable deferrals |
"Is capability going up, flat, or down?"
This measures the behavioural outcome: are functioning beds, scanners, pumps, or labs increasing at required spec? Are failure incidents declining?
| Score | Interpretation |
|---|---|
| 0–25 | Rapid capability decay (–100 to –50 on raw scale) |
| 25–50 | Decline to flat (–50 to 0) |
| 50–75 | Flat to moderate growth (0 to +50) |
| 75–100 | Strong sustained improvement (+50 to +100) |
Proxies: change in "% of assets in renewal window", "% of demand covered at target quality", "average age vs ideal age of assets"
Two more structural invariants inside G, and two more behavioural dimensions inside B.
B is centred, so all three behavioural dimensions read 50 = holding steady. That is why a system with sound architecture and flat behaviour scores exactly 0: it is not regenerating, and the decomposition says whether that is architecture or behaviour.
Real applications for pilots and partner conversations
R-Index can be visualised as:
Like a speedometer for regeneration
R over years—show the journey
Compare health vs climate vs science
It stops being "architectural language" and becomes something a CFO or CEO can read.
Community banks, hospitals, climate infrastructure—all talk in R-Index terms.
You own the metric → you own the field. Not just theory shop.
The live version gives empirical and narrative grounding for the formal R* paper.
Not the final metaphysical truth of regeneration. A simple, working index you can calculate quarterly, iterate as you learn, and upgrade as theory formalises.
We're looking for partners to pilot R-Index v0.1 in health, community, and climate systems.