The Global Centre for Risk and Innovation (GCRI)
Model descriptions for Critical Infrastructure are published here once reviewed, with their assumptions, evidence and validation. They describe models; they are not live simulations.
Critical infrastructure · Reviewed models and… · Run R-8171
same inputs, versioned
| R-4980 | Reliability and… | v5.5 | 0.77 | Running |
| R-1285 | Systems engineering | v3.4 | 0.53 | Failed test |
| R-6179 | Network science and… | v4.2 | 0.50 | Passed |
| R-5373 | Sensors, IoT and… | v3.8 | 0.42 | Passed |
Critical Infrastructure · Build workspaceBuild workspace, in outline: domain structure with placeholder names and illustrative values, not a record.
Critical Infrastructure reviewed models are published descriptions of the models used in the critical infrastructure field, with their assumptions, data, validation and limits, built on methods such as reliability and resilience engineering as well as systems engineering. They describe models; they are not live simulations, and no output on them is a finding.
Fig.A programme from scoping to the owner's decision. Design, not a record.
For reviewed models and scenarios, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density with true colour from NASA GIBS, framed on Western Europe; 3 further NASA layers wait in the list.
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Layers 3
Infrastructure exposure, for this page
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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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For reviewed models and scenarios, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density with true colour from NASA GIBS, framed on Western Europe; 3 further NASA layers wait in the list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.
Layers and dates
| Model class | Open examples | Question it answers | Validation |
|---|---|---|---|
| Interdependency network models | Multilayer network tools | Cascades across sectors | Reconstruction of past outages |
| Input-output models | Inoperability input-output models | Economic consequence of outages | Comparison with observed impacts |
| Agent-based restoration models | Open simulation frameworks | Restoration sequencing | Past restoration records |
| Fragility and loss models | Hazus methodology | Asset damage under hazards | Post-event surveys |
Analysis runs in Nexus Foundry; reviewed releases are listed here.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Model validation | Comparing model predictions with independent observations to judge fitness for a stated use. |
| Model card | A short document describing a model's intended use, training data, performance and limits. |
| Uncertainty quantification | Characterising and propagating the uncertainties in a model to state confidence in its outputs. |
| Surrogate model | A fast statistical model trained to approximate a slow simulation or experiment. |
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.