GCRI · Advanced Industry and Robotics
Advanced Industry and Robotics
Industrial innovation, automation, robotics and process resilience in changing production systems. Advanced Industry and Robotics is an established platform of The Global Centre for Risk and Innovation.
- STEM methods
- 8
- Canonical methods this field applies
- Topics
- 9
- Subject pages in the field
- Counterparts
- 2
- Platforms in shared fields across the network
- Report series
- 2
- Reports series it contributes to
How the work runs.
Plant operations and safety
Plant 3 · Shift 3
- OEE, % of planned773Watch
- Safety-critical alarms active0Alert
- Robot cell stops this shift4
- Energy per unit2.0kWhNormal
Barriers
layers of protection
| High-pressure trip | SIS | Q3 | Healthy |
| Relief valve RV-12 | Mechanical | Q2 | Healthy |
| Gas detection zone 4 | Detection | Q2 | Bypassed |
| Robot cell light curtain | Safeguard | Q3 | Healthy |
Reactor pressure
Fig.Plant operations and safety: example names and illustrative values, not a record or a live system.
The areas of industry and robotics this platform takes on.
Advanced Industry and Robotics studies how production is changing and what can go wrong: automation and robots on the factory floor, process safety in plants that handle hazardous materials, new materials and manufacturing methods, the changing relationship between people and machines, industrial energy and water, the cyber resilience of operations, how firms adopt technology, and the circular economy. Its pages set out standards, measures and evidence for each, with every value labelled and every limit stated. Operators, regulators and social partners decide.
Industrial automation
Control systems, sensors and software that run production lines and continuous processes.
Industrial robotics
Robots and collaborative robots in manufacturing, logistics and inspection, and their safety.
Industrial process safety
Preventing fires, explosions and toxic releases in plants that handle hazardous substances.
Materials and manufacturing
New materials, additive manufacturing and the quality systems that make production reliable.
Human-machine work
How automation changes tasks, skills, safety and the quality of industrial jobs.
Industrial energy and water
Energy, heat and water use in industry, and how efficiency and electrification change them.
Industrial cyber resilience
Security of operational technology and the continuity of production when systems are attacked.
Circular economy and pollution
Reuse, recycling and pollution control that reduce industry’s material and environmental footprint.
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 Germany; 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
- 0.72% of a year’s output
- Total over direct (multiplier)
- 1.58 times
- Most affected other sector
- Services
- Its peak inoperability
- 3.3%
Numbers, methods and sources
| Sector | Peak inoperability (%) | Output weight (%) |
|---|---|---|
| Agriculture | 29.41 | 19.0 |
| Energy | 1.19 | 19.3 |
| Manufacturing | 2.17 | 13.9 |
| Transport and ports | 0.67 | 9.6 |
| Trade | 1.32 | 17.2 |
| Services | 3.28 | 21.0 |
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 Advanced Industry and Robotics in Foundry
- Tested at Advanced Industry and Robotics in Universe
- Codified in Industry, Trade and Supply Chains in Standards
- Published in Advanced Industry and Robotics in Reports
- Taught in Faculty of Technology and Digital Systems in Academy
The questions this field works on.
Industrial automation
Automation and digitally managed production.
TopicIndustrial robotics
Robot sensing, safety and autonomy.
TopicIndustrial process safety
Chemical and major accident hazards.
TopicMaterials and manufacturing
Advanced materials, additive processes and circularity.
TopicHuman machine work
Ergonomics, labour and training.
TopicIndustrial energy and water
Resource needs, utility interdependence.
TopicIndustrial cyber resilience
OT/ICS and connected factories.
TopicTechnology adoption
Skills, productivity and inclusion.
TopicCircular economy and pollution
Industrial circularity, pollution management and cross-system effects.
Model Advanced Industry and Robotics as a system. Run the cascade.
Assembled from the Nexus Standards area profile Industry and manufacturing: 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
- Natech event
- Dam failure
- River flood (set off downstream)
- Flash flood (set off downstream)
- Mass displacement (set off downstream)
- Chemical spill or leak (set off downstream)
- Emergency-response overload (set off downstream)
- Widespread power outage (set off downstream)
- Water supply shortfall (set off downstream)
- Toxic gas release (set off downstream)
- Industrial fire (set off downstream)
Systems and couplings
Controls
NS-0Constitution and principlesNS-9Contextual UNIs (deployments, instances, programme instances)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-H50Hazard family: Industrial and process accidents (NHS-1 infra.industrial)NRS-H109Hazard family: Energy-transition technology failures (NHS-1 tech.energy-transition)NRS-X10Chemical, industrial, nuclear and radiological safetyNRS-H54Hazard family: Signal and platform disruption (NHS-1 cyber.platform)NRS-K14Domain pack profile: Manufacturing industrial (DOMAIN-014)
Observation
- eMARS Major Accident Reporting System (listed for reference)
- World Development Indicators (listed for reference)
- ILOSTAT (listed for reference)
- Manufacturing value added as a proportion of GDP and per capita
- CO2 emission per unit of value added
- Manufacturing, value added (% of GDP)
- Direct economic loss to all other damaged or destroyed productive assets attributed to disasters
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 Advanced Industry and Robotics does.
Industrial automation and robotics are the control systems, robots and software that run modern production. Advanced Industry and Robotics covers automation, robotics, process safety, materials and manufacturing, human-machine work, industrial energy and water, cyber resilience, technology adoption and the circular economy. Operators, regulators and social partners decide.
Its community
Industrial engineers; manufacturing researchers; automation specialists; safety scientists.
Its methods
Automation assessment; process risk; industrial supply analysis.
Its outputs
Industrial transition briefs; safe automation guides; resilience case studies.
How Advanced Industry and Robotics 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 Advanced Industry and Robotics: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
Model, equations and assumptions
The model structure used for Advanced Industry and Robotics, 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
What Advanced Industry and Robotics studies, and who decides on the shop floor.
Advanced Industry and Robotics, studies how production is changing and what can go wrong: automation, robotics, process safety, new materials, industrial energy and water, and operational cyber resilience. Operators, regulators and social partners decide; the platform prepares evidence and assesses no product.
Plant and robot illustrations here are generic. Process safety lessons are published only with the operator’s agreement.
Infrastructure exposure in Germany.
Night lights, population density and flood water over Germany, from NASA GIBS. Each layer carries its own date.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
Infrastructure exposure, 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 (clouds leave gaps)
- Source
- VIIRS Global Flood Product (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds leave gaps
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite detection; clouds leave gaps. 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
- 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 EVI (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 vegetation index for the 8 days to the date shown, a habitat condition indicator; not a measure of species or biodiversity.
- 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.
Infrastructure exposure, framed on Germany.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 · U.S. Geological Survey · 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
- 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.
- Live: U.S. Geological Survey 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).
- River discharge forecast, 30 days with range (GloFAS via Open-Meteo): Contains modified Copernicus Emergency Management Service information 2026; not a flood warning.
- 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 (12 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
- Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 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
- Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
Industry draws on and affects every domain.
- WaterHow this field couples to itProcess water and effluent tie industry to basin water balances and quality.
- EnergyHow this field couples to itHeavy industry is a large and hard-to-electrify energy user.
- FoodHow this field couples to itFertiliser and food processing are industrial links in the food chain.
- HealthHow this field couples to itMajor accident hazards and occupational exposure are industrial health risks.
- BiodiversityHow this field couples to itEmissions and waste affect ecosystems; circular practices reduce them.
Where industrial evidence goes.
Industrial studies are designed for the Global Sector Risk and Resilience series. Operational models would carry model cards under NS-12 of the proposed Nexus Standards.
- Process safety engineers can share lessons learned.
- Unions and employers can propose human-machine work studies.
- Researchers can contribute adoption evaluations.
Production systems are tightly coupled and changing fast.
Industrial systems concentrate energy, hazardous substances and complex machinery in one place, and they are linked by just-in-time supply chains to suppliers and customers across the world. Safety science has long recognised that in tightly coupled, complex systems small failures can combine in ways no single operator foresees. Major accidents in process industries rarely have one cause: they arise from design weaknesses, degraded safeguards, maintenance backlogs, organisational pressure and missed warning signs acting together.
Automation and robotics change this picture in both directions. Well-designed automation removes people from dangerous tasks and holds processes within safe limits. It also introduces new failure modes: software errors, sensor faults, cyber intrusion into operational technology, and humans who must take over unfamiliar systems at the worst moment. Connected factories share digital dependencies, so a single compromised supplier or platform can stop many plants at once.
Consequences spread beyond the fence. An explosion or toxic release affects neighbouring communities and ecosystems; a plant outage interrupts supply chains for medicines, food or components; a shortage of one specialised input can halt whole sectors. Industry also depends on energy and water, and its emissions and waste shape pollution and climate risk. The workforce sits at the centre: how automation is introduced decides who gains skills and who loses work.
For these reasons the platform treats safety, resilience and the workforce as one subject. A production system is resilient when it can absorb a shock, keep people and neighbours safe while it does so, and recover without shifting the cost onto those least able to bear it.
Evidence for safe, resilient production.
The platform is designed for industrial engineers, manufacturing researchers, automation specialists and safety scientists. Its methods are automation assessment, process risk analysis and industrial supply analysis.
Industrial transition briefs
Evidence on how automation, materials and energy changes affect safety, work and supply.
Safe automation guides
Research-based principles for introducing robots and digital control without creating new hazards.
Resilience case studies
Documented examples of disruptions and recoveries in production systems.
GCRI does not regulate, certify, license or approve. Plant safety cases, permits and inspections remain with operators and competent authorities.
Eight methods, two chapters and two counterparts.
The platform rests on eight methods in the STEM Commons, among them robotics and automation, process and industrial safety engineering, materials science and chemistry and systems engineering. Their industrial application is set out on the STEM foundation of Advanced Industry and Robotics. Two chapters carry focused work: Industrial and Chemical Safety and Circular Economy and Pollution.
At The Global Risks Forum (GRF), Innovation convenes institutions on responsible innovation and frontier technology governance. At The Global Risks Alliance (GRA), Private Equity Nexus builds shared industry understanding of industrial and supply exposures in privately held companies. Within GCRI, the platform works closely with Future of Work and Skills and Trade and Strategic Resources.
Built on named science, technology, engineering and mathematics.
Every claim on Advanced Industry and Robotics 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 Advanced Industry and Robotics
- Evidence Foundry STEM foundation of the platform. Evidence in Advanced Industry and Robotics
- Build Foundry Foundry. Build in Advanced Industry and Robotics
- Organise Universe Nexus ecosystem. Organise in Advanced Industry and Robotics
- Test Universe Universe (independent site). Test in Advanced Industry and Robotics
- Publish Reports Reports. Publish in Advanced Industry and Robotics
- Decide Competent authority Competent authorities and institutions, through NXS-RLS (participants, agreements and handoffs). Decide in Advanced Industry and Robotics
- Renew Universe Corrections and the next annual agenda. Renew in Advanced Industry and Robotics
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.
Advanced Industry and Robotics 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.Advanced Industry and Robotics in FoundryFoundry
- UniverseWhere a build is tested under controlled conditions with independent evaluators, so a method’s skill is measured, not assumed.Advanced Industry and Robotics 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.Advanced Industry and Robotics in ReportsReports
- Risk AcademyWhere methods and systems are taught on real data and real places, by working the case, on Risk Academy.Faculty of Technology and Digital Systems in Academyrisksacademy.com
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 |
|---|---|---|
| ISO 10218 and ISO/TS 15066 | International Organization for Standardization | Safety requirements for industrial robots and collaborative robot applications |
| IEC 61508 and IEC 61511 | International Electrotechnical Commission | Functional safety of safety-related systems and safety instrumented systems in the process industry |
| Seveso III Directive | European Union | Prevention and control of major accidents involving dangerous substances |
| Convention on the Prevention of Major Industrial Accidents | International Labour Organization (C174) | Duties of states, employers and workers to prevent major industrial accidents |
| IEC 62443 series | International Electrotechnical Commission | Security for industrial automation and control systems |
| ISO 50001 Energy management systems | International Organization for Standardization | Requirements for managing and improving energy performance |
| OECD Guiding Principles for Chemical Accident Prevention, Preparedness and Response | OECD | Guidance for industry, authorities and communities on chemical accidents |
| Industrial Emissions Directive and Best Available Techniques reference documents | European Union | Permitting and pollution control based on best available techniques |
| ISO 9001 Quality management systems | International Organization for Standardization | Requirements for consistent quality in production and services |
The same field, seen three ways.
GCRI studies a field as science, GRF governs it and GRA builds shared financial understanding of it. Advanced Industry and Robotics 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.
- ISO/TS 15066:2016 Robots and robotic devices, collaborative robots (ISO)
- IEC 61511 Functional safety, safety instrumented systems for the process industry sector (IEC)
- ILO Prevention of Major Industrial Accidents Convention, 1993 (No. 174)
- ISO 50001:2018 Energy management systems (ISO)
- Nexus Standards, the proposed NS series (nexustandards.com)
Pages in Advanced Industry and Robotics.
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 Advanced Industry and Robotics
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 Advanced Industry and Robotics?
Is Advanced Industry and Robotics 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 review the safety of a specific plant or robot?
Is the platform for or against automation?
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 Advanced Industry and Robotics 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.
Advanced Industry and Robotics
How Advanced Industry and Robotics 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.
Advanced Industry and Robotics 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 Advanced Industry and Robotics.
Start from who you are. Answer an open call. Or form and lead a competence cell on the Advanced Industry and Robotics 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 Advanced Industry and Robotics. 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: infrastructure, energy, cyber, Germany.
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 pageAdvanced Industry and RoboticsMaps, figures and feeds read the Index in the context of infrastructure, energy, cyber and Germany.Public API
Series in this context infrastructure, energy, cyber
- GSGlobal InfrastructureInfrastructure fragility, service continuity, interdependency of power, water, transport and telecommunications, and investment exposure.NXS-GRX-AR-000067Infrastructure · Energy · Cyber
- 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-000002Hazards · Energy · Infrastructure
- GSGlobal EnergySupply adequacy, import dependency, grid reliability, affordability, extreme-weather exposure, critical minerals and transition pathways.NXS-GRX-AR-000060Energy · Infrastructure · Cyber
- XTCyber and cyber-physical systemsThreats to operational technology, industrial control and cyber-physical systems across energy, water, health, ports and logistics.NXS-GRX-AR-000089Cyber · Infrastructure · Energy
Country profiles Germany
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
- Frontier and exponential technologyNXS-GRX-AR-000146
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.
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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.