Drohnen, Robotik und autonome Systeme
Autonome und robotische Systeme in Logistik, Landwirtschaft, Industrie und Sicherheit: Versagen, Missbrauch und Sicherheitsaufsicht.
3
Conflict risk · Infrastructure fragility · Technology concentration risk.
81
3 index domains
29
Frontier and exponential technology · Built systems
56
Cyber, KI und Frontier-Technologien
Scope and questions
The subject of this index is proposed by NXS-GRX (canonical data, provenance and risk); the Nexus Reports edition with the same code sets its own subject at commissioning, and any difference is recorded as a crosswalk.
- Where are autonomous systems entering safety-critical roles?
- What oversight exists for their failure modes?
- How could misuse create new hazards?
Domain indices to the series index
The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.
How the Drones, robotics and autonomous systems index is built
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KonfliktrisikoDomain index · IDX · CONMazziotta–Pareto aggregation, on 0 to 10, of conflict intensity, civilian harm, societal insecurity and external fragility assessments.
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InfrastrukturfragilitätDomain index · IDX · INFIndex of transport and digital connectivity deficits, utility fragility, energy supply unreliability and realised disruption impact on a 0–10 scale, higher meaning more fragile.
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Risiko technologischer KonzentrationDomain index · IDX · TECIndex of technology dependence, critical-mineral dependence and, inverted, innovation capacity and biosecurity oversight, on a 0–10 scale, higher meaning riskier.
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Drones, robotics and autonomous systems indexSeries index · SERIES · XT-08Autonome und robotische Systeme in Logistik, Landwirtschaft, Industrie und Sicherheit: Versagen, Missbrauch und Sicherheitsaufsicht.
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Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
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Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
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Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
Domain indices in this series
| Index | Wert | Veränderung | Veränderung % | 90%-Intervall | Klasse · Wahrscheinlichkeit | Trend | Spanne |
|---|---|---|---|---|---|---|---|
KonfliktrisikoNXS-GRX · CON |
– | – | – | – | – | ||
InfrastrukturfragilitätNXS-GRX · INF |
– | – | – | – | – | ||
Risiko technologischer KonzentrationNXS-GRX · TEC |
– | – | – | – | – |
Domains read: Technology and frontier, Infrastructure, Conflict and security.
81 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
| Indikator | Domäne | Sub-domain | Komponente | Einheit | Ebenen | Crosswalks |
|---|---|---|---|---|---|---|
Nettoimportabhängigkeit bei kritischen MineralienIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Seehandel mit Exposition gegenüber maritimen EngpässenIND.ECO.supply_chain.chokepoint_exposure |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Bemessungsstandard des HochwasserschutzesIND.HAZ.flood.flood_protection_standard |
HAZ | Flood | coping capacity | a |
COUNTRY, ADM1, CITY, SITE | |
Bebaute FlächeIND.HAZ.exposure.built_up_area |
HAZ | Exposition | context | km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Bebaute Fläche in Zonen hoher GefahrIND.HAZ.exposure.built_up_exposed |
HAZ | Exposition | exposure | km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
StraßendichteIND.ENV.land.road_density |
ENV | Land and forests | hazard | km/km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
In kontrollierten Anlagen behandelter SiedlungsabfallIND.ENV.pollution.msw_controlled_management.share |
ENV | Pollution and waste | coping capacity | % |
COUNTRY, CITY | SDG 11.6.1 EPI MSW |
Sicher behandelte AbwasserströmeIND.WAT.quality.wastewater_safely_treated.share |
WAT | Water quality | coping capacity | % |
COUNTRY, CITY | SDG 6.3.1 EPI WWT |
Abhängigkeitsquote von externen erneuerbaren WasserressourcenIND.WAT.dependence.external_water_dependency |
WAT | Transboundary dependence | exposure | % |
COUNTRY | |
BIP in GNSS-abhängigen Tätigkeiten, AnteilIND.SPC.dependence.gnss_dependent_gdp.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
Kritische Dienste, die ohne Rückfallebene auf Satelliten angewiesen sind, AnteilIND.SPC.dependence.satellite_service_exposure.share |
SPC | Space-service dependence | vulnerability | % |
COUNTRY | |
Hochspannungsnetz in Zonen hoher geoelektrischer Gefahr, AnteilIND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
Reisezeit zur nächsten GesundheitseinrichtungIND.HLT.system.health_facility_travel_time |
HLT | Health system capacity | vulnerability | min |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Jugendliche ohne Beschäftigung, Bildung oder AusbildungIND.SOC.protection.youth_neet |
SOC | Social protection | vulnerability | % |
COUNTRY | WB_WDI SL.UEM.NEET.ZS SDG 8.6.1 ILO SDG_0861_SEX_RT |
Stadtbevölkerung, Anteil an der GesamtbevölkerungIND.DEM.urbanisation.urban_share |
DEM | Urbanisation | context | % |
COUNTRY | WB_WDI SP.URB.TOTL.IN.ZS |
Wachstum der StadtbevölkerungIND.DEM.urbanisation.urban_growth |
DEM | Urbanisation | vulnerability | % |
COUNTRY | WB_WDI SP.URB.GROW |
In Slums lebende StadtbevölkerungIND.DEM.urbanisation.slum_share |
DEM | Urbanisation | vulnerability | % |
COUNTRY | WB_WDI EN.POP.SLUM.UR.ZS SDG 11.1.1 |
Flüchtlinge nach HerkunftslandIND.DEM.displacement.refugees_origin |
DEM | Forced displacement | impact | {persons} |
COUNTRY | UNHCR REF WB_WDI SM.POP.REFG.OR |
Flüchtlinge nach Herkunftsland, je 100.000 EinwohnerIND.DEM.displacement.refugees_origin.p100k |
DEM | Forced displacement | impact | /10*5 |
COUNTRY | SDG 10.7.4 |
Binnenvertriebene, Konflikt und Gewalt (Bestand)IND.DEM.displacement.idp_conflict |
DEM | Forced displacement | impact | {persons} |
COUNTRY, ADM1 | IDMC conflict_total_displacement WB_WDI VC.IDP.TOCV UNHCR IDP |
Binnenvertriebene, je 100.000 EinwohnerIND.DEM.displacement.idp_total.p100k |
DEM | Forced displacement | impact | /10*5 |
COUNTRY | |
Neue Binnenvertreibungen, Konflikt und GewaltIND.DEM.displacement.new_displacement_conflict |
DEM | Forced displacement | impact | 1 |
COUNTRY, ADM1 | IDMC conflict_new_displacement WB_WDI VC.IDP.NWCV |
Neue Binnenvertreibungen, je 100.000 EinwohnerIND.DEM.displacement.new_displacement.p100k |
DEM | Forced displacement | impact | /10*5 |
COUNTRY | |
Gemeldete Todesopfer organisierter politischer GewaltIND.CON.violence.conflict_fatalities |
CON | Organised violence | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED fatalities |
Konflikttote je 100.000 EinwohnerIND.CON.violence.conflict_fatalities.p100k |
CON | Organised violence | hazard | /10*5 |
COUNTRY, ADM1, ADM2 | SDG 16.1.2 |
Kampfbezogene Todesfälle (UCDP)IND.CON.violence.battle_related_deaths |
CON | Organised violence | hazard | {persons} |
COUNTRY | WB_WDI VC.BTL.DETH |
Ereignisse politischer GewaltIND.CON.violence.political_violence_events |
CON | Organised violence | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED Political violence |
Ereignisse bewaffneter KonflikteIND.CON.violence.armed_conflict_events |
CON | Organised violence | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED Battles ACLED Explosions/Remote violence |
Geografische Ausbreitung von KonfliktenIND.CON.violence.conflict_diffusion |
CON | Organised violence | exposure | % |
COUNTRY | ACLED Diffusion |
Fragmentierung bewaffneter AkteureIND.CON.violence.armed_group_fragmentation |
CON | Organised violence | hazard | 1 |
COUNTRY | ACLED Fragmentation |
Rate vorsätzlicher TötungsdelikteIND.CON.violence.homicide_rate |
CON | Organised violence | hazard | /10*5 |
COUNTRY, ADM1, CITY | WB_WDI VC.IHR.PSRC.P5 SDG 16.1.1 |
Militärausgaben, Anteil am BIPIND.CON.violence.military_expenditure.gdp |
CON | Organised violence | vulnerability | % |
COUNTRY | WB_WDI MS.MIL.XPND.GD.ZS |
Personal der Streitkräfte, Anteil an den ErwerbspersonenIND.CON.violence.armed_forces_share |
CON | Organised violence | vulnerability | % |
COUNTRY | WB_WDI MS.MIL.TOTL.TF.ZS |
Gegen Zivilpersonen gerichtete EreignisseIND.CON.civilian.civilian_targeting_events |
CON | Civilian harm | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED civilian_targeting ACLED Violence against civilians |
Zivile Todesopfer gezielter Gewalt, je 100.000 EinwohnerIND.CON.civilian.civilian_fatalities.p100k |
CON | Civilian harm | impact | /10*5 |
COUNTRY, ADM1 | ACLED Danger |
Angriffe auf die GesundheitsversorgungIND.CON.civilian.attacks_on_health_care |
CON | Civilian harm | impact | 1 |
COUNTRY | |
Opfer von Landminen und explosiven KriegsmunitionsrückständenIND.CON.civilian.explosive_ordnance_casualties |
CON | Civilian harm | impact | {persons} |
COUNTRY | |
Unruhen und gewaltsame DemonstrationenIND.CON.peace.riot_events |
CON | Peacefulness | hazard | 1 |
COUNTRY, ADM1, CITY | ACLED Riots |
Global Peace Index, Gesamtwert (IEP)IND.CON.peace.gpi_score |
CON | Peacefulness | vulnerability | {score} |
COUNTRY | GPI Overall Score |
Global Peace Index, Wert im Bereich andauernde Konflikte (IEP)IND.CON.peace.gpi_ongoing_conflict |
CON | Peacefulness | hazard | {score} |
COUNTRY | GPI Ongoing Domestic and International Conflict |
Einstufung nach OECD States of FragilityIND.CON.fragility.oecd_fragility_class |
CON | Fragility | vulnerability | {class} |
COUNTRY | OECD_FRAGILITY Fragile contexts |
Status als fragile und konfliktbetroffene Situation laut WeltbankIND.CON.fragility.wb_fcs_status |
CON | Fragility | vulnerability | {bool} |
COUNTRY | |
Politische Stabilität und Abwesenheit von Gewalt (WGI)IND.GOV.quality.political_stability |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_PV.SC WB_WGI GOV_WGI_PV.EST |
Stromausfälle bei Unternehmen in einem typischen MonatIND.ENE.reliability.firm_power_outages |
ENE | Reliability | vulnerability | /mo |
COUNTRY | WB_WDI IC.ELC.OUTG |
Durchschnittliche Unterbrechungsdauer im System (SAIDI)IND.ENE.reliability.saidi |
ENE | Reliability | vulnerability | h/a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Durchschnittliche Unterbrechungshäufigkeit im System (SAIFI)IND.ENE.reliability.saifi |
ENE | Reliability | vulnerability | /a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Lieferantenkonzentration bei Importen kritischer MineralienIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Ländliche Bevölkerung im Umkreis von 2 km um eine ganzjährig befahrbare StraßeIND.INF.transport.rural_road_access |
INF | Transport | coping capacity | % |
COUNTRY, ADM1 | SDG 9.1.1 |
LogistikleistungIND.INF.transport.logistics_performance |
INF | Transport | coping capacity | {score} |
COUNTRY | WB_WDI LP.LPI.OVRL.XQ |
Linienschifffahrtsanbindung im Verhältnis zur BestmarkeIND.INF.transport.liner_shipping_connectivity |
INF | Transport | coping capacity | % |
COUNTRY | WB_WDI IS.SHP.GCNW.XQ |
Beförderte Fluggäste pro KopfIND.INF.transport.air_passengers.pc |
INF | Transport | coping capacity | {passengers}/a/{person} |
COUNTRY | WB_WDI IS.AIR.PSGR |
Stadtbevölkerung mit bequemem Zugang zum öffentlichen VerkehrIND.INF.transport.public_transport_access |
INF | Transport | coping capacity | % |
CITY, ADM1, COUNTRY | SDG 11.2.1 ISO_37120 ISO 37120:2018 |
Straßen- und Schienennetz in Zonen hoher Gefahr, AnteilIND.INF.transport.network_exposed.share |
INF | Transport | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Personen, die das Internet nutzenIND.INF.digital.internet_users |
INF | Digital connectivity | coping capacity | % |
COUNTRY, ADM1, CITY | SDG 17.8.1 WB_WDI IT.NET.USER.ZS |
Mobilfunkabdeckung der Bevölkerung, nach TechnologieIND.INF.digital.mobile_network_coverage |
INF | Digital connectivity | coping capacity | % |
COUNTRY, ADM1 | SDG 9.c.1 |
Festnetz-Breitbandanschlüsse je 100 EinwohnerIND.INF.digital.fixed_broadband |
INF | Digital connectivity | coping capacity | /10*2 |
COUNTRY, ADM1 | SDG 17.6.1 WB_WDI IT.NET.BBND.P2 |
Redundanz internationaler VerbindungswegeIND.INF.digital.international_connectivity_redundancy |
INF | Digital connectivity | coping capacity | 1 |
COUNTRY | |
Stunden landesweiter InternetstörungenIND.INF.digital.internet_disruption_hours |
INF | Digital connectivity | impact | h/a |
COUNTRY | |
Resilienz des StromnetzesIND.INF.utilities.power_grid_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Resilienz des WasserversorgungsnetzesIND.INF.utilities.water_network_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Kritische Einrichtungen mit 72-Stunden-NotstromversorgungIND.INF.utilities.critical_facility_backup_power |
INF | Utilities | coping capacity | % |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Anlagen der Wasserversorgung in Zonen hoher Gefahr, AnteilIND.INF.utilities.water_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Anlagen der Stromerzeugung und des Stromnetzes in Zonen hoher Gefahr, AnteilIND.INF.utilities.power_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Lebenswichtige Versorgungseinrichtungen in Zonen hoher Gefahr, AnteilIND.INF.utilities.lifeline_facilities_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Infrastruktur-Investitionslücke, Anteil am BIPIND.INF.utilities.infrastructure_investment_gap.gdp |
INF | Utilities | vulnerability | % |
COUNTRY | |
City electricity interruption hours per customerIND.INF.urban.power_interruption_hours |
INF | Urban systems | vulnerability | h/a |
CITY | ISO_37120 ISO 37120:2018 |
Durch Katastrophen beschädigte oder zerstörte Einheiten kritischer InfrastrukturIND.INF.disruption.critical_infrastructure_damage |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-1 SDG 11.5.2 |
Durch Katastrophen beschädigte oder zerstörte GesundheitseinrichtungenIND.INF.disruption.health_facilities_damaged |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-2 |
Durch Katastrophen beschädigte oder zerstörte BildungseinrichtungenIND.INF.disruption.education_facilities_damaged |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-3 |
Katastrophen zugeschriebene Unterbrechungen grundlegender DiensteIND.INF.disruption.basic_service_disruptions |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-5 |
Direkter wirtschaftlicher Schaden an kritischer Infrastruktur, Anteil am BIPIND.INF.disruption.critical_infrastructure_loss.gdp |
INF | Service disruption | impact | % |
COUNTRY, ADM1 | SENDAI C-5 |
Cybervorfälle mit Störung kritischer DiensteIND.CYB.incidents.critical_sector_incidents |
CYB | Incidents | impact | 1 |
COUNTRY | |
Bruttoinlandsausgaben für F&E, Anteil am BIPIND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
Forschende je Million EinwohnerIND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
Hochtechnologieexporte, Anteil an den Exporten von IndustrieerzeugnissenIND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
Lieferantenkonzentration bei HalbleiterimportenIND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Anbieterkonzentration bei Cloud-InfrastrukturIND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
KI-Rechenkapazität unter ausländischer Kontrolle oder Kontrolle eines einzelnen AnbietersIND.TEC.ai.ai_compute_foreign_control |
TEC | Künstliche Intelligenz | vulnerability | % |
COUNTRY | |
Anbieterkonzentration bei BasismodellenIND.TEC.ai.foundation_model_concentration |
TEC | Künstliche Intelligenz | vulnerability | % |
COUNTRY | |
Aufsicht über biologische Sicherheit und Biosicherheit von HochsicherheitslaborenIND.TEC.bio.biosecurity_lab_oversight |
TEC | Biotechnologie | coping capacity | {score} |
COUNTRY | |
Bevölkerung innerhalb von 15 Minuten zu RettungsdienstenIND.CRS.response.emergency_service_access |
CRS | Response capacity | coping capacity | % |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| Familie | Domäne | Gefahren | Count |
|---|---|---|---|
| AI system failure and misalignment | Grenz- und Exponentialtechnologien | AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … | 11 |
| AI security and model supply chain | Grenz- und Exponentialtechnologien | Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning | 7 |
| AI misuse and capability uplift | Grenz- und Exponentialtechnologien | AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI | 8 |
| Agentic AI acting at scale | Grenz- und Exponentialtechnologien | Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach | 6 |
| Algorithmic decision and structural harm | Grenz- und Exponentialtechnologien | Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … | 12 |
| Robotics, autonomy and autonomous weapons | Grenz- und Exponentialtechnologien | Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … | 10 |
| Biotechnologie und synthetische Biologie | Grenz- und Exponentialtechnologien | Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … | 10 |
| Nanotechnology and advanced materials | Grenz- und Exponentialtechnologien | Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race | 5 |
| Neurotechnology, human enhancement and extended reality | Grenz- und Exponentialtechnologien | Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception | 7 |
| Quantum technology and cryptographic transition | Grenz- und Exponentialtechnologien | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Technologien zur Klimaintervention | Grenz- und Exponentialtechnologien | Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … | 11 |
| Space technology and orbital infrastructure | Grenz- und Exponentialtechnologien | Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples | 7 |
| Digital infrastructure concentration and monoculture | Grenz- und Exponentialtechnologien | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Grenz- und Exponentialtechnologien | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Grenz- und Exponentialtechnologien | Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration | 4 |
| Distributed ledgers and digital assets | Grenz- und Exponentialtechnologien | Smart-contract and oracle exploit | 1 |
| Structural and civil failure | Gebaute Systeme | Building collapse, Facade and cladding failure, Non-building structure failure, Bridge failure, Tunnel failure, Dam failure, Levee breach, Pipeline rupture | 8 |
| Utility and communication network outage | Gebaute Systeme | Widespread power outage, Water supply failure, Sewer and drain failure, Gas supply network failure, Telecommunications outage, Emergency communications failure | 6 |
| Transport accidents | Gebaute Systeme | Air transport accident, Maritime accident, Inland waterway accident, Rail accident, Road crash | 5 |
| Industrial and process accidents | Gebaute Systeme | Industrial explosion, Reactive chemical store explosion, Industrial fire, Building and urban fire, Explosives accident, Mine accident, Oil and gas extraction accident, Battery thermal runaway fire … | 15 |
| Energy system instability and shortfall | Gebaute Systeme | Low-inertia grid instability, System frequency collapse, Voltage collapse, Mass inverter disconnection, Grid power oscillation, Generation adequacy shortfall, Low wind and solar energy drought, Drought-driven hydropower shortfall … | 22 |
| Water and wastewater system failure | Gebaute Systeme | Wastewater treatment plant failure, Distribution network contamination intrusion, Water treatment dosing error, Prolonged drinking-water advisory, Desalination plant outage, Raw-water intake loss, Chronic distribution leakage, Intermittent piped supply … | 9 |
| Telecom and data-centre failure | Gebaute Systeme | Data-centre outage, Data-centre fire, Mobile or fixed core network failure, Terrestrial fibre backbone cut, Internet exchange or landing hub failure, Time and synchronisation failure, Telecom backup power exhaustion, Broadcast transmission loss | 8 |
| Space-based service loss | Gebaute Systeme | Navigation satellite system fault, Satellite communications outage, Weather and Earth-observation satellite gap, Satellite ground segment failure | 4 |
| Seabed infrastructure damage | Gebaute Systeme | Subsea pipeline damage, Subsea power cable damage, Covert seabed infrastructure sabotage | 3 |
| Transport network disruption | Gebaute Systeme | Air traffic management failure, Large-scale airspace closure, Rail network outage, Heat-induced track buckling, Strategic road network closure, Low-water navigation restriction, Navigation lock or canal structure failure, Dangerous goods transport accident … | 12 |
| Food system infrastructure failure | Gebaute Systeme | Food storage loss, Irrigation system failure, Food processing bottleneck, Strategic food reserve depletion, Loss of energy for food production | 5 |
| Urban and building-stock stress | Gebaute Systeme | Building overheating, Seismically and structurally vulnerable stock, Defective building material in use, Construction and temporary works collapse, Tunnelling and excavation ground damage, High-rise evacuation failure | 6 |
| Ageing and degraded infrastructure | Gebaute Systeme | Infrastructure deterioration, Deferred maintenance backlog, Reinforced concrete deterioration, Metal fatigue cracking, Ageing dam and reservoir stock, Legacy technology obsolescence, Infrastructure skills shortage | 7 |
Method libraries
Each method has a reference implementation or declares the specialist model, data or adapter it still needs; none is promoted beyond its evidence.
Cyber, KI und Frontier-Technologien
Cyber Attack Surface · Exploitability · Threat Likelihood · Cyber Asset Criticality · Intrusion Propagation · Ransomware Risk · Identity Compromise …
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.
Companies and supply chains
Screen sites and suppliers. Watch chokepoints and pulse. Read country context.
Insurers, reinsurers and risk pools
Read hazard, exposure and protection-gap context. Run scenario and tail analytics. Study parametric index design questions.
Regulators, supervisors and central banks
Design supervisory scenarios. Read systemic coupling. Replicate methods.
Nexus Reports
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- Series key
grix:SER.XT-08:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.CON.violence.conflict_risk:{ISO3}:{YEAR}:Anis:IDX.INF.disruption.infrastructure_fragility:{ISO3}:{YEAR}:Anis:IDX.TEC.concentration.technology_concentration_risk:{ISO3}:{YEAR}:A
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Status
Methodik, Struktur und Definitionen des Global Risks Index sind ein vorbereitender Arbeitsentwurf (2026), der zur Prüfung und Stellungnahme und nicht zur Umsetzung verbreitet wird. Kein Wert erscheint, bevor eine Ausgabe aus einem geregelten Evidenzschnitt veröffentlicht ist; die Werte tragen dann Intervalle, Klassen, Quellen und ihren Korrekturweg. Die Simulatoren wenden die veröffentlichten Methoden auf Zahlen an, die Sie wählen, und zeigen niemals einen NXS-GRX-Wert.
Was NXS-GRX nicht ist
NXS-GRX ist eine Forschungs- und Risikoanalyseinformation. Es ist kein Kredit- oder ESG-Rating und verwendet keine Ratingskala, kein Referenzwert für Finanzinstrumente, keine amtliche Statistik, keine Notfallwarnung oder amtliche Einstufung und keine Beratung. Es darf nicht zur Bewertung natürlicher Personen verwendet werden. Risikoklassen sind Bänder auf einer veröffentlichten Skala, niemals Rangfolgen von Ländern oder Personen.
Institutionen und Quellen
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Jeder Wert trägt die Namensnennung seiner Quellen, die ihre eigenen Lizenzen behalten. Externe Namen werden nur zur Interoperabilität zitiert. Von Nexus verfasste Texte sollen bei Veröffentlichung unter CC BY 4.0 stehen.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.