The Global Centre for Risk and Innovation (GCRI)
Model descriptions for Digital Public Infrastructure are published here once reviewed, with their assumptions, evidence and validation. They describe models; they are not live simulations.
Fig.A programme from scoping to the owner's decision. Design, not a record.
Digital Public Infrastructure reviewed models are published descriptions of the models used in the digital public infrastructure field, with their assumptions, data, validation and limits, built on methods such as digital identity and public digital systems as well as data engineering, interoperability and stewardship. They describe models; they are not live simulations, and no output on them is a finding.
For reviewed models and scenarios, in GCRI's spatial-intelligence reading, the map opens on night lights, population density and true-colour imagery with true colour from NASA GIBS, framed on India; every other NASA layer, live feed and forecast waits in the layer list.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
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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, population density and true-colour imagery with true colour from NASA GIBS, framed on India; every other NASA layer, live feed and forecast waits in the layer 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 |
|---|---|---|---|
| Exclusion analysis | Survey-based estimation | Who is left out | Field studies |
| Service continuity models | Dependency models | Outage effects | Incident records |
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.