GCRI · STEM Commons
Spatial intelligenceObservations, models and their uncertainty in one view
Every technology method in the STEM Commons, its steward platform and how widely it is applied.
Flood water, population density, active fires and true-colour imagery across the world, from NASA GIBS. Each layer carries its own date.
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Layers 4
Hazards and exposure, for this page
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Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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Hazards and exposure, framed on World. Layers as NASA publishes them, each with its own date.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
Technology appears in two roles. Some technologies are how the Consortium observes and computes: Earth observation, sensors, geospatial systems, data engineering and computing. Others are subjects of risk assessment in their own right: AI, biotechnology, quantum, distributed ledgers and payment systems. Several are both, which is why their pages state limits plainly.
Assembled from the Nexus Standards area profile Critical infrastructure and critical entities: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification.
Hazards
Systems and couplings
Controls
NS-0 Constitution and principlesNS-3 Risk record UNIs (grammar, legacy crosswalk, allocation authority)NS-9 Contextual UNIs (deployments, instances, programme instances)NS-10 Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)NRS-H61 Hazard family: Cascading failure (NHS-1 sys.cascade)NRS-H94 Hazard family: Systemic cyber events (NHS-1 cyber.systemic-cyber)NRS-H107 Hazard family: Digital infrastructure concentration and monoculture (NHS-1 tech.digital-concentration)NRS-K31 Domain pack profile: Cyber national resilience (DOMAIN-031)NRS-K36 Domain pack profile: Critical infrastructure (DOMAIN-036)NRS-K48 Domain pack profile: Financial system resilience (DOMAIN-048)Observation
Example geography
| Technology | As instrument | As risk subject |
|---|---|---|
| AI and machine learning | Emulators, classification of imagery | Model failure, misuse, concentration |
| Space systems | Observation and communications | Debris, space weather, single points of failure |
| Cybersecurity | Protecting Consortium systems | Systemic cyber accumulation |
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