Systemic System Infrastructure Index

The First Open Digital Twin Fusing Grid Risk with Societal Exposure

A composite resilience score for OECD countries power grids — plus Greenland (Kingdom of Denmark) — open data, open methodology, zero proprietary dependencies. Select a country to explore its digital twin.

Operated as a non-profit through a dedicated foundation — ensuring the Index serves the public interest.
Breaking the Silos

Power grid resilience is inseparable from its socio-economic context. The SSI fuses traditional grid metrics with socio-economic, environmental, and energy-transition data — all from public sources — to capture what single-discipline indices miss.

📐 Open methodology · 📊 Open data · 🔬 Peer-reviewed
Every data source is public; every calculation is reproducible; the methodology is validated in JIPR v16 — Markov degradation modelling for fleet-scale substation preservation (Journal of Infrastructure Preservation and Resilience, 2026) — 1,220 documented substation failures across 18 OECD countries, ROC AUC = 0.78, Spearman ρ = 0.71. Code GPL-3.0 · Data CC BY-SA 4.0.
OECD Coverage

Now covering 38 OECD countries plus Greenland: Italy, Germany, France, Spain, United Kingdom, United States, Switzerland, Austria, Canada, Japan, Australia, Chile, Denmark, Norway, Finland, Poland, Sweden, Mexico, Greece, Türkiye, Ireland, Portugal, New Zealand, Czechia, Luxembourg, Belgium, Netherlands, Estonia, Latvia, Lithuania, Slovenia, Slovakia, Hungary, Iceland, Korea, Costa Rica, Israel, Colombia, and Greenland (autonomous territory within the Kingdom of Denmark — grid independent from Denmark's). Each country's digital twin uses the same SSI v4.2 methodology adapted to local data sources, enabling cross-border comparison and pan-OECD risk insights. Targeting full OECD membership coverage.

How to read this dashboard
60-second tour
  • Each substation is a dot on the map. Click any dot to see four things:
  • The score (R_final) — one number, 0 → 1+; lower is calmer, higher is stressed. Colour bands classify it.
  • The radar — R_final's shape across 7 axes (CVIESTR). Two substations with the same R can have very different stress patterns.
  • Eleven modifiers — multipliers showing why the score is what it is (R6c flood, R6d wildfire, R10 justice…). Above 1.0 adds risk; below subtracts.
  • Provenance — every value comes from a labelled public source; degraded values are honestly flagged.
SSI Completed
OECD Member
Other
SSI v4.2 Formula Construct
R_final = soft_clip(R_base × Π R_modifiers × Re)

6 components (C·V·I·E·S·T) · 20 metrics · 11 modifiers — 5 baseline (R3 consequence · R4 topology · R6a seismic · R6b network · R7 SFDR digital readiness) + 6 v4.2 resilience (R6c flood · R6d wildfire · R6e winter · R8 adapt · R9 compound · R10 just) · Re composite bounded [0.920, 1.787] · 10,000 Monte Carlo iterations with Gaussian copula correlation. Same methodology across all countries.