GCRI · Trade and Strategic Resources
Trade and Strategic Resources
Supply networks, trade routes, critical minerals and strategic inputs that underpin industrial and national resilience. Trade and Strategic Resources is an established platform of The Global Centre for Risk and Innovation.
- STEM methods
- 6
- Canonical methods this field applies
- Topics
- 8
- Subject pages in the field
- Counterparts
- 2
- Platforms in shared fields across the network
- Report series
- 2
- Reports series it contributes to
21 pages under Trade and Strategic Resources.
- 01STEM methods6 canonical methods applied
- 02Topics8 subject pages
- 03Counterparts2 platforms in shared fields
- 04Report series2 Reports series
- 05Mandate publisherMandate and publisher
- 06Field overviewField overview
- 07Research evidenceResearch and evidence
- 08Innovation practicalInnovation and practical technology
What the work is read against.
The platform does not set standards. It reads its evidence against the frameworks that competent bodies have adopted, so a finding can be placed where a decision-maker already works.
| Framework or standard | Body | What it sets |
|---|---|---|
| Harmonized Commodity Description and Coding System | World Customs Organization | The product classification used to record and compare trade across countries |
| Agreement on Trade Facilitation | World Trade Organization | Commitments to simplify and speed the movement, release and clearance of goods |
| OECD Due Diligence Guidance for Responsible Supply Chains of Minerals from Conflict-Affected and High-Risk Areas | OECD | A five-step framework for identifying and addressing risks in mineral supply chains |
| OECD Due Diligence Guidance for Responsible Business Conduct | OECD | Due diligence steps for adverse impacts across all sectors |
| UN Guiding Principles on Business and Human Rights | UN Human Rights Council | State duty to protect, corporate responsibility to respect and access to remedy |
| EITI Standard | Extractive Industries Transparency Initiative | Disclosure requirements for the oil, gas and mining value chain |
| Critical Raw Materials Act | European Union | Benchmarks for extraction, processing, recycling and diversification of strategic raw materials |
| Principles to guide critical energy transition minerals | UN Secretary-General’s Panel on Critical Energy Transition Minerals | Principles for fair, responsible and just mineral value chains |
| SAFE Framework of Standards | World Customs Organization | Standards to secure and facilitate global trade through customs cooperation |
Corridor and chokepoint monitor.
The screen a team would use to follow this field: its measures, states and decisions. Names are examples and values are illustrative.
Corridor and chokepoint monitor
Corridor A · Week 40
- Transit time31days9Alert
- Freight index14333Watch
- Vessels rerouted68this weekWatch
- Inventory cover24daysNormal
Corridors
red: disrupted
Time to recover vs time to survive
by critical input
| Fertiliser | Strait | 10 | 7 | Short |
| Fuel | Strait | 8 | 7 | Tight |
| Semiconductors | Port hub | 28 | 8 | Short |
| Grain | Corridor A | 4 | 8 | Covered |
The questions this field works on.
Trade corridors and chokepoints
Ports, straits, rail and supply corridors.
TopicCritical minerals
Mining, refining, demand and resource security.
TopicFood and energy trade
Commodity security and import dependencies.
TopicSemiconductors and components
Electronics, advanced materials and fabrication inputs.
TopicLogistics and cold chain
Transport time and disruption.
TopicGeoeconomics and fragmentation
Restrictions, market transmission and substitution.
TopicSupplier concentration
Single points of failure in production.
TopicResponsible sourcing
Environmental, labour and traceability limits.
A shock through an input-output economy.
A loss of output in one sector propagates through the technical coefficients to its suppliers and customers, and recovers at the rate you set; the coefficients are teaching values, not national accounts. Teaching model with stated illustrative values, not a prediction. The map on this page shows The Strait of Malacca; the model itself is not tied to a place.
Controls
- Sector hit first (position in the list)
- 0
- Size of the shock
- 30% of its output
- Duration of the shock
- 30 days
- Recovery rate
- 0.08 per day
- Days simulated
- 180 days
Readouts
- Output lost over the run
- 0.64% of a year’s output
- Total over direct (multiplier)
- 2.03 times
- Most affected other sector
- Transport and ports
- Its peak inoperability
- 3.9%
Numbers, methods and sources
| Sector | Peak inoperability (%) | Output weight (%) |
|---|---|---|
| Agriculture | 33.08 | 10.3 |
| Energy | 0.79 | 14.3 |
| Manufacturing | 2.92 | 20.4 |
| Transport and ports | 3.90 | 22.4 |
| Trade | 3.40 | 9.0 |
| Services | 0.80 | 23.6 |
Methods
- Input-output analysis Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press
- Inoperability input-output model Haimes and Jiang (2001), Journal of Infrastructure Systems 7
- Dynamic inoperability and recovery Lian and Haimes (2006), Systems Engineering 9
- Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Data
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
- Seaports Natural Earth
- Maritime chokepoints Nexus (named straits and canals at their published coordinates)
- Railways Natural Earth
- Major roads Natural Earth
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Trade and Strategic Resources in Foundry
- Tested at Trade and Strategic Resources in Universe
- Codified in Industry, Trade and Supply Chains in Standards
- Published in Trade and Strategic Resources in Reports
- Taught in Faculty of Finance and Economics in Academy
What Trade and Strategic Resources does.
Supply chain resilience is the ability of supply networks to keep essential goods flowing through disruptions and to recover quickly. Trade and Strategic Resources covers chokepoints and corridors, critical minerals, food and energy trade, semiconductors, logistics and cold chains, geoeconomic fragmentation, supplier concentration and responsible sourcing. Governments, firms and trade bodies decide.
Its community
Trade economists; logistics operators; mineral scientists; supply planners.
Its methods
Input-output dependencies; network concentration; trade corridor GIS.
Its outputs
Supply concentration explainers; minerals dependency briefs; critical route studies.
Model Trade and Strategic Resources as a system. Run the cascade.
Assembled from the Nexus Standards area profile Supply chain and trade risk: 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. To model a place of your own choosing, open the full System Builder.
Hazards
- Dam failure
- River flood (set off downstream)
- Flash flood (set off downstream)
- Mass displacement (set off downstream)
- Widespread power outage (set off downstream)
- Water supply shortfall (set off downstream)
Systems and couplings
- Supply chain and trade risk
- Food security and nutrition risk Cascade
- Oceans and coasts risk standards Exposure
- Geopolitical and security risk Common driver
- Cyber and digital risk standards Cascade
Controls
NS-0Constitution and principlesNS-3Risk record UNIs (grammar, legacy crosswalk, allocation authority)NS-9Contextual UNIs (deployments, instances, programme instances)NS-10Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)NS-11Verification and monitoring (evidence, attestations, zero-trust conformance observation)NS-12Software, model and AI/ML artefacts (supply chain, model cards, dataset sheets)NRS-H60Hazard family: Supply-chain and flow disruption (NHS-1 sys.supply-chain)NRS-X4Trade, transport and supply chains riskNRS-H89Hazard family: Transport network disruption (NHS-1 infra.mobility)NRS-K38Domain pack profile: Supply chain trade (DOMAIN-038)NRS-H43Hazard family: Livestock and aquaculture epizootics (NHS-1 health.animal-health)NRS-M10Method fabric: Markets, trade and supply chains
Observation
- IMF PortWatch port activity and chokepoint disruptions (listed for reference)
- Global Supply Chain Pressure Index (listed for reference)
- OECD Data Explorer (SDMX API) (listed for reference)
- World Bank Open Data and World Development Indicators API (listed for reference)
- Developing countries’ and least developed countries’ share of global exports
- Passenger and freight volumes, by mode of transport
Example geography
- The Strait of Malacca: 227 hexagonal cells
- Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
- Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
- Rain rate, last half hour (IMERG), NASA GIBS
- Surface soil moisture (SMAP), NASA GIBS
What Trade and Strategic Resources studies, without trade advice or positions.
Trade and Strategic Resources, studies the supply networks, routes and inputs economies depend on, and where concentration makes them fragile. It gives no sourcing, investment or trade advice, takes no position in trade disputes and applies the sanctions rules that bind GCRI.
Trade flows and concentration figures shown here are illustrations unless marked as released, and disruption scenarios are conditional: they ask what would happen, not whether it will.
How Trade and Strategic Resources is modelled, measured and tested.
The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.
System model
The couplings between the systems in Trade and Strategic Resources: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
Model, equations and assumptions
The model structure used for Trade and Strategic Resources, the assumptions it makes and how each is tested.
Ri = f(Hi, Ei, Vi, Ci)hazard, exposure, vulnerability and coping capacityEAL = ∑k pk · Lkover events k with annual probability pkxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error| Assumption | Why it is made | How it is tested |
|---|---|---|
| Hazard and exposure are independent within an event | Keeps the loss integral tractable | Compare with a copula fit on joint records |
| Couplings are linear near the operating point | Lets shocks propagate through A | Perturb beyond the linear range and compare |
| Vulnerability curves transfer between places | Local curves are rarely available | Validate against observed losses where they exist |
- Inputs
- versioned datasets with provenance
- Outputs
- distributions, never single numbers
- Code
- released with the model card and tests
- Reproduction
- same data, code, environment and seed
Trade carries the five domains across borders.
- WaterHow this field couples to itVirtual water embodied in traded crops moves water stress between countries.
- EnergyHow this field couples to itOil, gas and electricity trade sets energy security and prices.
- FoodHow this field couples to itGrain, fertiliser and vegetable oil trade concentrates in few exporters and routes.
- HealthHow this field couples to itMedicines and their ingredients come from concentrated production sites.
- BiodiversityHow this field couples to itCommodity trade drives land conversion in exporting regions.
Activity and hazards in the Strait of Malacca.
Night lights, population density and marine heat over the Strait of Malacca, from NASA GIBS. Each layer carries its own date.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
Activity and hazards, for this page
About this layer
- Evidence
- Observed
- Source
- VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
- Provider
- NASA LAADS DAAC
- Licence
- NASA open data
- Vintage
- daily; Satellite radiance, corrected for moonlight and atmosphere
- Newest at build
- 2026-10-12
- Resolution
- about 500 m grid
- Uncertainty
- Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Estimated
- Source
- Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
- Provider
- NASA SEDAC (CIESIN, Columbia University)
- Licence
- CC BY 4.0
- Vintage
- null; Census-based estimate, static (2020)
- Resolution
- about 1 km grid
- Uncertainty
- Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- GHRSST MUR25 (NASA JPL PO.DAAC)
- Provider
- NASA JPL PO.DAAC
- Licence
- NASA open data
- Vintage
- daily; Satellite analysis
- Newest at build
- 2026-10-12
- Resolution
- about 2 km grid
- Uncertainty
- Satellite analysis of how far sea temperature departs from its usual value for the date shown; a marine heat indicator, not a coral bleaching alert.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS NOAA-20 corrected reflectance (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite image
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Modelled (latest year GIBS publishes)
- Source
- MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
- Provider
- NASA LP DAAC
- Licence
- NASA open data
- Vintage
- yearly; Satellite classification; latest year GIBS publishes
- Newest at build
- 2024-01-01
- Resolution
- about 500 m grid
- Uncertainty
- Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds leave gaps)
- Source
- MODIS Terra NDVI (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite index; clouds leave gaps
- Newest at build
- 2026-10-13
- Resolution
- about 250 m grid
- Uncertainty
- Satellite greenness index over the 8 days to the date shown; an indicator of crop and pasture condition, not a yield estimate or a food security warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Loading the latest NASA imagery.
Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.
Activity and hazards, framed on the Strait of Malacca.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA JPL OPERA DIST-ALERTSources and licences
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
- GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
- Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
- © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
- Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
- Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- Live: NASA EONET Events are indicative, not authority warnings.
- Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
- Optional layers (7 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.
Layers and dates
- Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026
- True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
- Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
- Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE · 13 Oct 2026
Where trade evidence goes.
Supply network analyses are designed for the Strategic Systems series, and route disruption scenarios for the Scenario and Stress-Test series. Trade series would keep their HS classification and source under the proposed Nexus Standards.
- Port and corridor authorities can share disruption records.
- Researchers can contribute material flow and network studies.
- Industry associations can propose precompetitive studies under competition safeguards.
Global supply networks are efficient, concentrated and tightly coupled.
Modern production is organised in long, specialised chains. A medical device, a wind turbine or a packet of rice may depend on inputs mined, refined, fabricated, shipped and assembled in many countries. Over decades, firms optimised these chains for cost and speed: they consolidated suppliers, reduced inventories and routed goods through a small number of efficient ports, straits and hubs.
That efficiency carries a structural risk. Network science shows that systems with a few highly connected nodes perform well in normal times and fail badly when a key node is lost. A blocked strait, a factory fire, an export restriction or a pandemic lockdown can halt flows that many sectors share. Because firms rarely see beyond their direct suppliers, the dependency may be invisible until it breaks.
Disruptions then cascade. Shortages of one component idle assembly lines elsewhere. Freight rates and delivery times rise, inventories are drawn down and firms over-order, which amplifies swings upstream, a pattern known as the bullwhip effect. Price shocks in food and energy pass quickly to households and to public budgets, with the heaviest effects in import-dependent and lower-income countries. Physical, economic and political risks meet in the same networks.
Mapping dependencies so that fragility can be seen before it fails.
The platform is designed to build shared, method-transparent understanding of supply-network risk for researchers and practitioners.
Input-output and network mapping
Tracing which sectors and countries depend on which inputs, and where concentration creates single points of failure.
Trade corridor GIS
Spatial analysis of ports, straits, rail and road corridors and their exposure to hazards and closures.
Minerals and materials
Evidence on extraction, refining, substitution and recycling for strategic materials.
Signature outputs are designed to include supply concentration explainers, minerals dependency briefs and critical route studies, each released with its data sources and limits.
How the platform connects to its STEM foundation and the other institutions.
The platform applies six STEM methods held in the GCRI STEM Commons: network science and contagion, optimisation and operations research, econometrics, geospatial information systems, materials science and chemistry and urban and transport engineering. Its STEM applications show how each is used for supply-network questions.
Within GCRI it works alongside the Food Nexus on food trade and Advanced Industry and Robotics on manufacturing. At the other institutions, the Innovation Nexus at The Global Risks Forum (GRF) convenes dialogue on industrial innovation, and the Private Equity Nexus at The Global Risks Alliance (GRA) is an industry counterpart for how supply-chain exposure appears in private companies. GRA does not give investment advice. See all counterparts.
Platform evidence is designed to feed the Reports Strategic Systems series and the Scenario and Stress-Test series, and a Universe exercise on chokepoint disruption and critical minerals, described on the platform’s Universe page.
The areas of trade, resources and supply chains this platform takes on.
Trade and Strategic Resources studies the supply networks, routes and inputs that economies depend on: maritime chokepoints and corridors, critical minerals, traded food and energy, semiconductors, cold chains, and the concentration of suppliers that makes all of them fragile. Its pages set out the trade data, network methods and due diligence standards behind that evidence, with every value labelled by its evidence and every limit stated. It prepares evidence; governments, firms and trade bodies decide.
Corridors and chokepoints
Straits, canals, ports and land routes where trade concentrates and a single disruption reroutes the world.
Critical minerals
Minerals essential to energy, digital and defence technologies whose supply is concentrated or at risk.
Food and energy trade
Grains, fertilisers, oil, gas and fuels moved across borders, and the importers who depend on them.
Semiconductors and components
Chips and the materials, tools and fabrication steps in a long and concentrated value chain.
Logistics and cold chain
Containers, warehouses, refrigerated transport and the capacity to move perishable and sensitive goods.
Geoeconomics and fragmentation
Export controls, sanctions, tariffs and industrial policies that reshape who trades with whom.
Supplier concentration
Dependence on few countries or firms for an input, and how to measure and reduce it.
Responsible sourcing
Human rights, environmental and conflict risks in supply chains, and the due diligence that addresses them.
Built on named science, technology, engineering and mathematics.
Every claim on Trade and Strategic Resources rests on methods with a canonical page in the STEM Commons, so readers can see what a finding depends on and where its limits lie.
How work moves in this field.
A question becomes evidence, a governed build, an organised community, a controlled test, a reviewed publication and, finally, a decision taken by the competent authority under its own rules.
- Question Universe National, regional or institutional priority. Question in Trade and Strategic Resources
- Evidence Foundry STEM foundation of the platform. Evidence in Trade and Strategic Resources
- Build Foundry Foundry. Build in Trade and Strategic Resources
- Organise Universe Nexus ecosystem. Organise in Trade and Strategic Resources
- Test Universe Universe (independent site). Test in Trade and Strategic Resources
- Publish Reports Reports. Publish in Trade and Strategic Resources
- Decide Competent authority Competent authorities and institutions, through NXS-RLS (participants, agreements and handoffs). Decide in Trade and Strategic Resources
- Renew Universe Corrections and the next annual agenda. Renew in Trade and Strategic Resources
Each step of the cycle in the pillar it runs in; the decision stays with the competent authority, outside the programme.
- Labs
- Foundry
- Universe
- Nexus Standards
- Reports
- Risk Academy
- Competent authority (outside the programme)
How this works across the six pillars.
Trade and Strategic Resources works through six pillars of one annual programme, led by the Nexus Consortium, with GCRI, GRF and GRA each contributing in its role: explore, experiment and prototype in Labs, build, simulate and prepare in Foundry, convene and test in Universe, codify, correct and apply in Nexus Standards, publish in every format in Reports, teach in the open in Risk Academy.
handoff in playrecorded handoffno direct handoff
Programme yearAll phases
Route
The whole programme
Every pillar hands its work to another; together they close the year’s feedback loops.
L · F · U · S · R · A
- Pillars
- 6 of 6
- Handoffs
- 18 of 18
- Loops
- 17 closed
Handoffs in play
- F01Universe → Foundry · Admitted mission becomes a cycle project with a decision caseReadiness preparation
- F02Foundry → Universe · Core Build Report and go or no-go evidenceControlled build
- F03Foundry → Reports · Sealed observations and indicator series behind a profileCloseout
- F04Universe → Reports · After-action and scenario findings for chapters 10 and 13After-action review
and 14 more
- LabsWhere questions become experiments and prototypes: new methods, data and tools are tried in the open, with their limits on record, before the Foundry builds them, under the Nexus Consortium.Labs
- FoundryWhere methods, data and models become reproducible builds, each run with its inputs, version and limits on record.Trade and Strategic Resources in FoundryFoundry
- UniverseWhere a build is tested under controlled conditions with independent evaluators, so a method’s skill is measured, not assumed.Trade and Strategic Resources in Universeuniverse.nexus
- Nexus StandardsWhere methods, identifiers and data schemas are codified in the open and corrected when a test finds a fault.Industry, Trade and Supply Chains in Standardsnexustandards.com
- ReportsWhere findings are published with their method, uncertainty and evidence class, and corrected as new versions.Trade and Strategic Resources in ReportsReports
- Risk AcademyWhere methods and systems are taught on real data and real places, by working the case, on Risk Academy.Faculty of Finance and Economics in Academyrisksacademy.com
The same field, seen three ways.
GCRI studies a field as science, GRF governs it and GRA builds shared financial understanding of it. Trade and Strategic Resources links to its counterparts so that work on one side is visible on the others.
Where this page’s references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
- Harmonized System nomenclature, 2022 edition (World Customs Organization)
- WTO Agreement on Trade Facilitation (in force 2017)
- EITI Standard 2023 (Extractive Industries Transparency Initiative)
- Principles to guide critical energy transition minerals, UN Secretary-General’s Panel (United Nations, 2024)
- Nexus Standards, the proposed NS series (nexustandards.com)
Pages in Trade and Strategic Resources.
Mandate and publisher
PageField overview
PageResearch and evidence
PageInnovation and practical technology
PageProgrammes and projects
PageData and technical methods
PageSpecialist community
PageLearning and professional development
PageEvents and technical dialogues
PageResearch and publications
PageParticipation paths
PageContact the specialist team
PageTrust, rights and status
PageSTEM foundation of Trade and Strategic Resources
PageChapters
PageHow work moves in this field
PageBuild in Foundry
PageTest in Universe
PagePublish in Reports
PageThe same field across the Consortium
PageTopics
Where this page leads across the Consortium.
Questions and answers.
Who publishes Trade and Strategic Resources?
Is Trade and Strategic Resources active?
How can I contribute?
Where are findings published?
Which values on this platform are real?
How do I report an error?
Does the platform advise companies or governments on sourcing?
Why combine trade, minerals, logistics and geoeconomics on one platform?
Contribute evidence from this page.
Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
- EmailGateway GW-GCRISend it from this pageEvidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.
- ZenodoOpen depositDeposit it and submit to the communityPublish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.
- ReportsGCRISee every way to contributeThe contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.
Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.
How Trade and Strategic Resources works.
Choose a view and press Play to follow the platform’s process, its programme year, the standards it applies and how its findings are published. The outline shows how the work is designed to run, not the status of any decision.
Trade and Strategic Resources
How Trade and Strategic Resources works
Platforms · Programme year · Standards · Reports
A platform joins a field to named methods, labelled evidence and the outputs it publishes, without becoming the authority it serves.
01 Scope
- 01Field and familiesStart · The platform leadThe home states the field, its families and who it serves.
- 02Topic dossiersRecord · Platform authorsTopics explain the subject with labelled evidence.
02 Evidence
- 03Evidence labelsRecord · GCRIEach value is labelled: observed, published statistics, estimated, modelled, scenario or unknown.
- 04MethodsStep · Method ownersMethods come from the STEM Commons, each with one canonical page.
03 Work
- 05Scenarios on the systemsModel · Foundry pillarScenarios run on the Nexus systems, labelled as scenario.
- 06Standards that applyRecord · Nexus StandardsThe platform names the standards that apply. A validator report is evidence for review.
04 Publish
- 07EditionsRecord · ReportsFindings are published through Reports with their limits.
- 08Authority decidesOutcome · The competent authorityDecisions and execution stay with the government, operator or licensed institution.
Trade and Strategic Resources home · Platforms · Shared methodsAn outline of how the work is designed to run; it does not report the status of any decision or record.
Take part in Trade and Strategic Resources.
Start from who you are. Answer an open call. Or form and lead a competence cell on the Trade and Strategic Resources platform.
National institutions
Ministries, statistics offices and agencies: a national desk and chapter, and a seat in the working groups. National chapters
Sectors and professions
Operators, regulators, banks, insurers and professional bodies whose work touches Trade and Strategic Resources. Participate
Learning
Courses and practice, with a record of every course completed. Free to study. Open learning
Standards
Draft, review and adopt the methods and data standards with the working groups. Working groups
Communities and research
Universities, civil society and individual experts: projects, data and review. Write to the team
| Open call | Seeks | Closes |
|---|---|---|
| Founding call for experts to the working groups CALL-FOUNDING-EXPERTS | expert, editor, chair | 2026-12-15 |
| Open nomination for the three independent expert seats of the Global Standards Council CALL-GSC-IND | council-member | 2026-12-01 |
| Nominations of interim regional members (applies only if the transitional provision is decided) CALL-GSC-REG | council-member | 2026-12-15 |
| Review of the wave-1 risk core outlines (C1, C2, C3, C4, C8, C10, C11) CALL-REVIEW-WAVE1 | contributor | 2027-01-31 |
| Experts for the core standards of risk science: uncertainty and evidence grading, scales, structured expert judgement, tolerability, extremes and compound events, catastrophic and existential risk, ethics and equity, units and measurement (NRS-C17 to NRS-C24) CALL-CORE-SCIENCE | expert, editor, chair | 2027-01-31 |
| Independent reviewers for the families of the hazard atlas, three from at least two regions for each family (NHS2-R19), priority families first CALL-ATLAS-REVIEW | expert | 2027-03-31 |
| Members of the interim Frontier Safety Review Panel and red-team reviewers (biosafety and biosecurity, AI safety and security, critical-infrastructure security); applications treated in confidence CALL-FRONTIER-SAFETY-REVIEW | expert | 2026-11-30 |
| Experts in ontology, metrology, software verification and conformity assessment for the requirement register, the NHS-2 machine representation, the conformance test suites and the conformity assessment scheme CALL-CONFORMANCE-ONTOLOGY | expert, editor | 2027-01-31 |
Calls past their closing date are hidden automatically. Every call, proposal and route: open areas and calls.
Gather the cell
Bring together three to seven people with complementary skills: data, field practice, policy and communication.
Register it
Write to the team with the cell’s name, members, area and region. You receive a reference and a contact. Write to the team
Choose a charter
Pick one focus: research and evidence, data and maps, standards review, or community preparedness.
Learn together
Follow shared study paths at Risk Academy, with practice and a record of every course completed. Hazards and resilience
Lead and report
Hold regular sessions. Publish what the cell learns through Reports. Bring findings to the working groups. Working groups
What a national team or a local community can do on The Global Risks Index (NXS-GRX) today.
Your country’s profile
Open risk profiles for 195 countries, with sources and licences on every value. Open the Index
Correct or reply
Correct a value or reply for your country. The change is logged with its effect. Open the Index
Offer data
Offer a dataset. It enters through the licence gate, with your credit. Open the Index
Every figure on this page is indexed: macro, economy, infrastructure, The Strait of Malacca.
The Index is the Consortium’s indexing system for risk data. Every indicator, hazard, series and country profile carries its Nexus Standards identifier, its source and its licence, so what this page shows can be traced, corrected and reused.
- 01 · Sources205 registered sourcesEvery value keeps its source and licence; withheld values are counted.Data and licences
- 02 · Nexus StandardsNIS-1 and NHS-1451 indicators, 905 hazards; every record carries a UNI.Nexus Standards
- 03 · The Index54 series, 195 country profilesComputed on the standards; no value is published until an edition is released.The Global Risks Index
- 04 · This pageTrade and Strategic ResourcesMaps, figures and feeds read the Index in the context of macro, economy, infrastructure and The Strait of Malacca.Public API
Series in this context macro, economy, infrastructure
- GLBGlobal SystemsThe state of interdependent global risk: the twenty domain indices aggregated to the world, the five core systems (water, energy, food, health, biodiversity) and their couplings, the global tail register and the gap…NXS-GRX-AR-000002Conflict · Infrastructure · Economy
- GSGlobal EnergySupply adequacy, import dependency, grid reliability, affordability, extreme-weather exposure, critical minerals and transition pathways.NXS-GRX-AR-000060Infrastructure · Economy · Macro
- SRSupply chains, trade and chokepointsTrade concentration, maritime and overland chokepoints, input–output exposure and the propagation of supply shocks.NXS-GRX-AR-000076Economy · Infrastructure
- GSGlobal Food and agrifoodAcute and chronic food insecurity, production shocks, import dependency, prices, fertiliser and logistics chokepoints, nutrition and pollination dependency.NXS-GRX-AR-000061Economy · Conflict
Country profiles The Strait of Malacca
Every country profile carries the source and licence of each value. Correct a value or reply
Hazard domains NHS-1
- Built systemsNXS-GRX-AR-000144
- Society, conflict and economyNXS-GRX-AR-000147
Geodata and API open
Open layers on an equal-area hexagon grid, shown as densities per km² or as symbols: People · GHSL 2025People · WorldPop 2025Built-up areaPortsAirportsRoadsRailwaysRivers and lake centrelines
/api/v1/public/grix · https://nexustandards.com/uni/{uni}
Developers · Data · Made with Natural Earth, Public domain; GHSL and WorldPop, CC BY 4.0
Snapshot of the Index registries pinned 2026-10-23 · 22c6eed. Research and risk-analytics information: not a rating, an official classification, a warning, a benchmark or advice.
Bring a method, a dataset or a question.
Information and enquiries are open today. 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.
Legal documents.
Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.