NXS-GRX · XT-18 · Exponential technology series
Climate intervention technologies
Carbon removal and proposed climate interventions: physical, governance and termination risks, read from published assessments only.
Page GRX-SER-XT-18Edition Baseline Edition 2026Evidence close 2026-09-30Subject NXS-GRX proposedNexus Reports XT-18 (planned)Values not yet publishedSnapshot 31a753f76
FIG 1 · Series at a glance
Domain indices
5
Climate physical hazard · Climate transition exposure · Environmental pressure · Governance weakness
Indicators
114
4 index domains
Hazard families
23
Planetary boundaries and Earth-system tipping · Frontier and exponential technology
Methods
41
Climate, nature and biodiversity · Policy, regulation and governance
5
domain indices
114
indicators in scope
2
hazard domains
3
client groups
01Scope
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.
- Which interventions are being proposed and tested?
- What governance exists?
- What are the stated physical and termination risks?
02Construction
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.
computation
How the Climate intervention technologies index is builtGraph
01Domain indices
02Series index
03Readings
100%
List
- Climate physical hazardDomain index · IDX · CLI0-10 index of physical climate hazard combining chronic change, observed extremes and projected change (projection sub-index taken at SSP2-4.5, 2041-2060 by default, with other scenarios as alternative runs).
- Climate transition exposureDomain index · IDX · CLI0-10 index of an economy's exposure to a low-carbon transition, combining transition exposure (fossil rents, fuel exports, subsidies) and emissions intensity (per capita and per unit of GDP).
- Environmental pressureDomain index · IDX · ENV0-10 index of environmental pressure and ecosystem condition combining air pollution, land and forest degradation, biodiversity status, ocean condition and waste pressure.
- Governance weaknessDomain index · IDX · GOVWeighted aggregation, on 0 to 10, of governance quality, rule of law, policy and institutional quality and statistical capacity, each oriented by its own polarity so that higher values mean weaker governance.
- Technology concentration riskDomain index · IDX · TECIndex of technology dependence, critical-mineral dependence and, inverted, innovation capacity and biosecurity oversight, on a 0-10 scale, higher meaning riskier.
- Climate intervention technologies indexSeries index · SERIES · XT-18Carbon removal and proposed climate interventions: physical, governance and termination risks, read from published assessments only.
- Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
- Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
- Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
Not runIn progressDone
03Indices
Domain indices in this series
NXS-GRX · XT-18 · 195 profiles · 0–10 scale
Climate intervention technologies index, world
—
Values publish with the edition; the interval, class and change appear here.
| Index | Value | Change | Change % | 90% interval | Class · probability | Trend | Range |
|---|---|---|---|---|---|---|---|
| Climate physical hazardNXS-GRX · CLI | — | — | — | — | — | ||
| Climate transition exposureNXS-GRX · CLI | — | — | — | — | — | ||
| Environmental pressureNXS-GRX · ENV | — | — | — | — | — | ||
| Governance weaknessNXS-GRX · GOV | — | — | — | — | — | ||
| Technology concentration riskNXS-GRX · TEC | — | — | — | — | — |
Domains read: Climate, Environment and biodiversity, Governance and institutions, Technology and frontier.
04Indicators
114 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
FIG 3 · Indicators in scope, by domain and sub-domain
| Indicator | Domain | Sub-domain | Component | Unit | Levels | Crosswalks |
|---|---|---|---|---|---|---|
| LIC-DSF composite indicator score (published, reference)IND.FIS.capacity.lic_dsf_composite_indicator | FIS | Debt-carrying capacity | coping capacity | {score} | COUNTRY | |
| Bank exposure to carbon-intensive sectorsIND.FIN.climate_finance.carbon_intensive_exposure | FIN | Climate-related financial exposure | exposure | % | COUNTRY | |
| Bank lending exposed to high physical climate riskIND.FIN.climate_finance.physical_risk_lending | FIN | Climate-related financial exposure | exposure | % | COUNTRY | |
| Natural-resource rents, share of GDPIND.ECO.concentration.natural_resource_rents.gdp | ECO | Export and import concentration | vulnerability | % | COUNTRY | WB_WDI NY.GDP.TOTL.RT.ZS |
| Net import reliance for critical mineralsIND.ECO.concentration.critical_minerals_import_reliance | ECO | Export and import concentration | vulnerability | % | COUNTRY | |
| Surface warming since pre-industrialIND.CLI.physical_chronic.warming_since_preindustrial | CLI | Chronic physical change | hazard | K | GLOBAL, REGION, COUNTRY, ADM1, GRID | FAO_FAOSTAT ET |
| Change in annual precipitationIND.CLI.physical_chronic.precipitation_change | CLI | Chronic physical change | hazard | % | COUNTRY, ADM1, GRID | |
| Relative sea-level rise rateIND.CLI.physical_chronic.relative_sea_level_trend | CLI | Chronic physical change | hazard | mm/a | COUNTRY, ADM1, CITY, SITE | UNDRR_HIPS_2025 EN0402 |
| Hottest day of the year (TXx)IND.CLI.physical_acute.txx | CLI | Acute climate extremes | hazard | Cel | COUNTRY, ADM1, CITY, GRID | |
| Share of warm days (TX90p)IND.CLI.physical_acute.tx90p | CLI | Acute climate extremes | hazard | % | COUNTRY, ADM1, GRID | |
| Change in very hot days (35 °C or more)IND.CLI.physical_acute.hot_days_change | CLI | Acute climate extremes | hazard | d/a | COUNTRY, ADM1, CITY, GRID | |
| Warm spell duration (WSDI)IND.CLI.physical_acute.warm_spell_duration | CLI | Acute climate extremes | hazard | d/a | COUNTRY, ADM1, GRID | |
| Wettest day of the year (Rx1day)IND.CLI.physical_acute.rx1day | CLI | Acute climate extremes | hazard | mm | COUNTRY, ADM1, CITY, GRID | |
| Wettest five days of the year (Rx5day)IND.CLI.physical_acute.rx5day | CLI | Acute climate extremes | hazard | mm | COUNTRY, ADM1, GRID | |
| Precipitation from very wet days (R95pTOT)IND.CLI.physical_acute.very_wet_day_share | CLI | Acute climate extremes | hazard | % | COUNTRY, ADM1, GRID | |
| Longest dry spell (CDD)IND.CLI.physical_acute.consecutive_dry_days | CLI | Acute climate extremes | hazard | d | COUNTRY, ADM1, GRID | |
| Assets vulnerable to climate-related physical risks, shareIND.CLI.physical_acute.physical_risk_vulnerable_assets.share | CLI | Acute climate extremes | exposure | % | SITE, PORTFOLIO | IFRS_S2 29(c) |
| Projected warming since pre-industrialIND.CLI.projection.projected_warming | CLI | Scenario projections | hazard | K | GLOBAL, REGION, COUNTRY, ADM1, GRID | |
| Projected change in hottest-day temperatureIND.CLI.projection.projected_txx_change | CLI | Scenario projections | hazard | K | COUNTRY, ADM1, GRID | |
| Projected change in wettest five-day precipitationIND.CLI.projection.projected_rx5day_change | CLI | Scenario projections | hazard | % | COUNTRY, ADM1, GRID | |
| Projected relative sea-level riseIND.CLI.projection.projected_sea_level_rise | CLI | Scenario projections | hazard | m | COUNTRY, ADM1, CITY, SITE | |
| Population below the future 100-year coastal flood level, shareIND.CLI.projection.slr_coastal_population_exposed.share | CLI | Scenario projections | exposure | % | COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
| Total greenhouse gas emissions excluding LULUCFIND.CLI.emissions.ghg_total | CLI | Emissions | exposure | Mt/a | COUNTRY | WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2 |
| Greenhouse gas emissions per capitaIND.CLI.emissions.ghg_per_capita | CLI | Emissions | exposure | t/a/{person} | COUNTRY | WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP |
| Carbon intensity of GDPIND.CLI.emissions.carbon_intensity_gdp | CLI | Emissions | exposure | kg/[USD] | COUNTRY | WB_WDI EN.GHG.CO2.RT.GDP.KD SDG 9.4.1 |
| Financed emissions of a portfolioIND.CLI.emissions.financed_emissions | CLI | Emissions | exposure | Mt/a | PORTFOLIO | IFRS_S2 29(a)(vi) |
| Fossil-fuel rents, share of GDPIND.CLI.transition.fossil_fuel_rents.gdp | CLI | Transition exposure | exposure | % | COUNTRY | WB_WDI NY.GDP.PETR.RT.ZS WB_WDI NY.GDP.NGAS.RT.ZS WB_WDI NY.GDP.COAL.RT.ZS |
| Fuel exports, share of merchandise exportsIND.CLI.transition.fossil_fuel_exports.share | CLI | Transition exposure | exposure | % | COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN |
| Explicit fossil-fuel subsidies, share of GDPIND.CLI.transition.fossil_fuel_subsidies.gdp | CLI | Transition exposure | exposure | % | COUNTRY | |
| Assets vulnerable to climate-related transition risks, shareIND.CLI.transition.transition_risk_vulnerable_assets.share | CLI | Transition exposure | exposure | % | PORTFOLIO | IFRS_S2 29(b) |
| NDC 2030 economy-wide emissions targetIND.CLI.transition.ndc_target_ambition | CLI | Transition exposure | response | % | COUNTRY | SDG 13.2.1 |
| National adaptation plan submittedIND.CLI.adaptation.nap_submitted | CLI | Adaptation readiness | adaptive capacity | {bool} | COUNTRY | SDG 13.2.1 |
| Economic readiness for adaptation investmentIND.CLI.adaptation.economic_readiness | CLI | Adaptation readiness | adaptive capacity | {score} | COUNTRY | ND_GAIN economic |
| Governance readiness for adaptationIND.CLI.adaptation.governance_readiness | CLI | Adaptation readiness | adaptive capacity | {score} | COUNTRY | ND_GAIN governance |
| Social readiness for adaptationIND.CLI.adaptation.social_readiness | CLI | Adaptation readiness | adaptive capacity | {score} | COUNTRY | ND_GAIN social |
| International adaptation finance received per capitaIND.CLI.adaptation.adaptation_finance_received.pc | CLI | Adaptation readiness | adaptive capacity | [USD] | COUNTRY | |
| Population below 5 m elevation, shareIND.HAZ.coastal.low_elevation_population.share | HAZ | Coastal and sea level | exposure | % | COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
| Frequency of severe meteorological droughtIND.HAZ.drought.spei_drought_frequency | HAZ | Drought | hazard | % | COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
| Days of dangerous humid heat per yearIND.HAZ.heat.dangerous_heat_days | HAZ | Extreme heat | hazard | d/a | COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
| Extreme fire-weather days per yearIND.HAZ.wildfire.extreme_fire_weather_days | HAZ | Wildfire | hazard | d/a | COUNTRY, ADM1, GRID | |
| Annual burned area, share of land areaIND.HAZ.wildfire.burned_area.share | HAZ | Wildfire | hazard | % | COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 EN0205 EMDAT nat-cli-wil-wil |
| PM2.5 exposure, population-weighted meanIND.ENV.air.pm25_exposure | ENV | Air quality | hazard | ug/m3 | COUNTRY, ADM1, CITY, GRID | WB_WDI EN.ATM.PM25.MC.M3 SDG 11.6.2 EPI PMD |
| Population exposed above the WHO PM2.5 guideline, shareIND.ENV.air.pm25_guideline_exceedance.share | ENV | Air quality | exposure | % | COUNTRY, ADM1, CITY | WB_WDI EN.ATM.PM25.MC.ZS |
| Seasonal peak ozone exposureIND.ENV.air.ozone_exposure | ENV | Air quality | hazard | [ppb] | COUNTRY, ADM1, CITY, GRID | |
| Land areaIND.ENV.land.land_area | ENV | Land and forests | context | km2 | COUNTRY, ADM1, ADM2, CITY | WB_WDI AG.LND.TOTL.K2 |
| Forest area, share of land areaIND.ENV.land.forest_cover.share | ENV | Land and forests | vulnerability | % | COUNTRY, ADM1 | SDG 15.1.1 WB_WDI AG.LND.FRST.ZS |
| Annual tree cover loss rateIND.ENV.land.tree_cover_loss.share | ENV | Land and forests | hazard | % | COUNTRY, ADM1, ADM2, GRID | EPI TCL |
| Degraded land, share of land areaIND.ENV.land.land_degradation.share | ENV | Land and forests | hazard | % | COUNTRY, ADM1, GRID | SDG 15.3.1 |
| Road densityIND.ENV.land.road_density | ENV | Land and forests | hazard | km/km2 | COUNTRY, ADM1, ADM2, CITY, GRID | |
| Red List IndexIND.ENV.biodiversity.red_list_index | ENV | Biodiversity | vulnerability | 1 | GLOBAL, REGION, COUNTRY | SDG 15.5.1 |
| Biodiversity Intactness IndexIND.ENV.biodiversity.biodiversity_intactness | ENV | Biodiversity | vulnerability | 1 | COUNTRY, ADM1, GRID | |
| Terrestrial protected areas, share of land areaIND.ENV.biodiversity.terrestrial_protected.share | ENV | Biodiversity | response | % | COUNTRY, ADM1 | WB_WDI ER.LND.PTLD.ZS |
| Key biodiversity areas covered by protected areasIND.ENV.biodiversity.key_biodiversity_area_protected.share | ENV | Biodiversity | response | % | COUNTRY, REGION | SDG 15.1.2 |
| Marine protected areas, share of territorial watersIND.ENV.ocean.marine_protected.share | ENV | Ocean | response | % | COUNTRY | WB_WDI ER.MRN.PTMR.ZS SDG 14.5.1 |
| Coastal eutrophication indexIND.ENV.ocean.coastal_eutrophication | ENV | Ocean | hazard | % | COUNTRY, REGION | SDG 14.1.1 |
| Average marine acidity (pH)IND.ENV.ocean.ocean_acidity | ENV | Ocean | hazard | [pH] | COUNTRY, REGION, SITE | SDG 14.3.1 |
| Fish stocks within biologically sustainable levelsIND.ENV.ocean.sustainable_fish_stocks.share | ENV | Ocean | vulnerability | % | GLOBAL, REGION, COUNTRY | SDG 14.4.1 |
| Marine heatwave days per yearIND.ENV.ocean.marine_heatwave_days | ENV | Ocean | hazard | d/a | COUNTRY, REGION, GRID | UNDRR_HIPS_2025 MH0708 |
| Municipal solid waste generated per capitaIND.ENV.pollution.msw_generation.pc | ENV | Pollution and waste | hazard | kg/a/{person} | COUNTRY, CITY | |
| Municipal solid waste managed in controlled facilitiesIND.ENV.pollution.msw_controlled_management.share | ENV | Pollution and waste | coping capacity | % | COUNTRY, CITY | SDG 11.6.1 EPI MSW |
| Mismanaged plastic waste per capitaIND.ENV.pollution.mismanaged_plastic_waste.pc | ENV | Pollution and waste | hazard | kg/a/{person} | COUNTRY, ADM1 | |
| GDP in sectors highly dependent on nature, shareIND.ENV.nature_dependence.nature_dependent_gdp.share | ENV | Nature dependence | exposure | % | COUNTRY, PORTFOLIO | |
| Crop production value dependent on animal pollination, shareIND.ENV.nature_dependence.pollinator_dependent_crops.share | ENV | Nature dependence | exposure | % | COUNTRY, ADM1 | |
| Water bodies with good ambient water qualityIND.WAT.quality.good_ambient_water_quality.share | WAT | Water quality | vulnerability | % | COUNTRY, ADM1 | SDG 6.3.2 |
| Wastewater flows safely treatedIND.WAT.quality.wastewater_safely_treated.share | WAT | Water quality | coping capacity | % | COUNTRY, CITY | SDG 6.3.1 EPI WWT |
| Dependency ratio on external renewable waterIND.WAT.dependence.external_water_dependency | WAT | Transboundary dependence | exposure | % | COUNTRY | |
| Transboundary basin area with operational cooperationIND.WAT.dependence.transboundary_cooperation.share | WAT | Transboundary dependence | coping capacity | % | COUNTRY | SDG 6.5.2 |
| Malaria incidenceIND.HLT.burden.malaria_incidence | HLT | Disease burden and mortality | hazard | /10*3 | COUNTRY | WB_WDI SH.MLR.INCD.P3 SDG 3.3.3 WHO_GHO SDGMALARIA |
| Agriculture, forestry and fishing value added, share of GDPIND.FOO.agriculture.agri_value_added.gdp | FOO | Agricultural production and dependence | vulnerability | % | COUNTRY | WB_WDI NV.AGR.TOTL.ZS |
| Employment in agriculture, share of total employmentIND.FOO.agriculture.agri_employment_share | FOO | Agricultural production and dependence | vulnerability | % | COUNTRY | WB_WDI SL.AGR.EMPL.ZS |
| Cereal yield variability (15-year)IND.FOO.agriculture.cereal_yield_variability | FOO | Agricultural production and dependence | vulnerability | % | COUNTRY | |
| Cropland, share of land areaIND.FOO.agriculture.cropland.share | FOO | Agricultural production and dependence | exposure | % | COUNTRY, ADM1, ADM2, GRID | WB_WDI AG.LND.ARBL.ZS |
| Vegetation Health Index on croplandIND.FOO.agriculture.vegetation_health_index | FOO | Agricultural production and dependence | hazard | {score} | COUNTRY, ADM1, ADM2, GRID | |
| Seats held by women in national parliamentIND.SOC.gender.women_in_parliament | SOC | Gender | adaptive capacity | % | COUNTRY | WB_WDI SG.GEN.PARL.ZS SDG 5.5.1 |
| Voice and accountability (WGI)IND.GOV.quality.voice_accountability | GOV | Governance quality | coping capacity | {score} | COUNTRY | WB_WGI GOV_WGI_VA.SC WB_WGI GOV_WGI_VA.EST |
| Political stability and absence of violence (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 |
| Government effectiveness (WGI)IND.GOV.quality.government_effectiveness | GOV | Governance quality | coping capacity | {score} | COUNTRY | WB_WGI GOV_WGI_GE.SC WB_WGI GOV_WGI_GE.EST |
| Control of corruption (WGI)IND.GOV.quality.control_of_corruption | GOV | Governance quality | coping capacity | {score} | COUNTRY | WB_WGI GOV_WGI_CC.SC WB_WGI GOV_WGI_CC.EST |
| Corruption Perceptions Index (Transparency International)IND.GOV.quality.corruption_perceptions | GOV | Governance quality | coping capacity | {score} | COUNTRY | |
| Press freedom score (RSF)IND.GOV.quality.press_freedom | GOV | Governance quality | coping capacity | {score} | COUNTRY | |
| Rule of law (WGI)IND.GOV.rule_of_law.rule_of_law | GOV | Rule of law | coping capacity | {score} | COUNTRY | WB_WGI GOV_WGI_RL.SC WB_WGI GOV_WGI_RL.EST |
| Property rights and rule-based governance (CPIA)IND.GOV.rule_of_law.property_rights | GOV | Rule of law | coping capacity | {score} | COUNTRY | WB_WDI IQ.CPA.PROP.XQ |
| Unsentenced detainees, share of prison populationIND.GOV.rule_of_law.unsentenced_detainees | GOV | Rule of law | vulnerability | % | COUNTRY | SDG 16.3.2 |
| Bribery incidence among firmsIND.GOV.rule_of_law.bribery_incidence_firms | GOV | Rule of law | vulnerability | % | COUNTRY | WB_WDI IC.FRM.BRIB.ZS SDG 16.5.2 |
| Regulatory quality (WGI)IND.GOV.policy.regulatory_quality | GOV | Policy and institutional quality | coping capacity | {score} | COUNTRY | WB_WGI GOV_WGI_RQ.SC WB_WGI GOV_WGI_RQ.EST |
| CPIA overall rating (IDA resource allocation index)IND.GOV.policy.cpia_overall | GOV | Policy and institutional quality | coping capacity | {score} | COUNTRY | WB_WDI IQ.CPA.IRAI.XQ |
| CPIA public-sector management and institutionsIND.GOV.policy.cpia_public_sector_management | GOV | Policy and institutional quality | coping capacity | {score} | COUNTRY | WB_WDI IQ.CPA.PUBS.XQ |
| CPIA transparency, accountability and corruption in the public sectorIND.GOV.policy.cpia_transparency | GOV | Policy and institutional quality | coping capacity | {score} | COUNTRY | WB_WDI IQ.CPA.TRAN.XQ |
| Efficiency of revenue mobilisation (CPIA)IND.GOV.policy.tax_administration | GOV | Policy and institutional quality | coping capacity | {score} | COUNTRY | WB_WDI IQ.CPA.REVN.XQ |
| Deviation of budget execution from the approved budgetIND.GOV.policy.budget_execution_deviation | GOV | Policy and institutional quality | vulnerability | % | COUNTRY | SDG 16.6.1 |
| Statistical Performance Indicators overall scoreIND.GOV.statistics.spi_overall | GOV | Statistical capacity | coping capacity | {score} | COUNTRY | WB_WDI IQ.SPI.OVRL WB_WDI IQ.SCI.OVRL |
| Completeness of birth registrationIND.GOV.statistics.birth_registration | GOV | Statistical capacity | coping capacity | % | COUNTRY | WB_WDI SP.REG.BRTH.ZS SDG 16.9.1 |
| Years since the last population censusIND.GOV.statistics.years_since_census | GOV | Statistical capacity | vulnerability | a | COUNTRY | SDG 17.19.2 |
| Business environment score (B-READY)IND.GOV.business.bready_overall | GOV | Business environment | coping capacity | {score} | COUNTRY | |
| Renewable share of total final energy consumptionIND.ENE.mix.renewable_share_tfec | ENE | Energy mix | adaptive capacity | % | COUNTRY | SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS |
| Primary energy intensity of GDPIND.ENE.mix.energy_intensity | ENE | Energy mix | vulnerability | MJ/[USD] | COUNTRY | SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD |
| Fossil share of electricity generationIND.ENE.mix.fossil_electricity_share | ENE | Energy mix | vulnerability | % | COUNTRY | WB_WDI EG.ELC.FOSL.ZS |
| Installed renewable generating capacity per capitaIND.ENE.mix.renewable_capacity.pc | ENE | Energy mix | adaptive capacity | W/{person} | COUNTRY | SDG 7.b.1 |
| Heating and cooling degree daysIND.ENE.reliability.thermal_demand_degree_days | ENE | Reliability | hazard | K.d/a | COUNTRY, ADM1, CITY, GRID | |
| Critical-mineral import supplier concentrationIND.ENE.minerals.critical_mineral_import_concentration | ENE | Critical minerals | vulnerability | 1 | COUNTRY | |
| ITU GCI legal measures pillarIND.CYB.capability.gci_legal | CYB | Cyber capability | coping capacity | {score} | COUNTRY | ITU_GCI Legal Measures |
| ITU GCI organizational measures pillarIND.CYB.capability.gci_organizational | CYB | Cyber capability | coping capacity | {score} | COUNTRY | ITU_GCI Organizational Measures |
| Data protection and privacy legislation in forceIND.CYB.capability.data_protection_law | CYB | Cyber capability | coping capacity | {bool} | COUNTRY | ITU_GCI Legal Measures |
| E-government developmentIND.CYB.dependence.egovernment_development | CYB | Digital dependence | exposure | {score} | COUNTRY | |
| Gross domestic expenditure on R&D, share of GDPIND.TEC.capability.rd_expenditure.gdp | TEC | Technology capability | adaptive capacity | % | COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
| Researchers per million inhabitantsIND.TEC.capability.researchers_per_million | TEC | Technology capability | adaptive capacity | /10*6 | COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
| High-technology exports, share of manufactured exportsIND.TEC.capability.high_tech_exports | TEC | Technology capability | adaptive capacity | % | COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
| Semiconductor import supplier concentrationIND.TEC.concentration.semiconductor_import_concentration | TEC | Concentration and dependence | vulnerability | 1 | COUNTRY | |
| Cloud infrastructure provider concentrationIND.TEC.concentration.cloud_provider_concentration | TEC | Concentration and dependence | vulnerability | 1 | COUNTRY | |
| AI compute capacity under foreign or single-provider controlIND.TEC.ai.ai_compute_foreign_control | TEC | Artificial intelligence | vulnerability | % | COUNTRY | |
| Foundation-model provider concentrationIND.TEC.ai.foundation_model_concentration | TEC | Artificial intelligence | vulnerability | % | COUNTRY | |
| Biosafety and biosecurity oversight of high-containment laboratoriesIND.TEC.bio.biosecurity_lab_oversight | TEC | Biotechnology | coping capacity | {score} | COUNTRY | |
| National DRR strategy aligned with the Sendai FrameworkIND.CRS.drr.national_drr_strategy | CRS | DRR strategy | coping capacity | {score} | COUNTRY | SENDAI E-1 SDG 1.5.3 SDG 11.b.1 SDG 13.1.2 |
| Local governments with DRR strategies aligned to the national strategyIND.CRS.drr.local_drr_strategies | CRS | DRR strategy | coping capacity | % | COUNTRY, ADM1 | SENDAI E-2 SDG 1.5.4 SDG 11.b.2 SDG 13.1.3 |
05Hazards
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
FIG 4 · Hazard families this series reads
| Family | Domain | Hazards | Count |
|---|---|---|---|
| Planetary boundary transgressions | Planetary boundaries and Earth-system tipping | Climate-forcing boundary transgression, Global temperature overshoot, Global warming acceleration, Atmospheric methane surge, Extinction-rate boundary transgression, Biosphere functional integrity loss, Land-system change boundary transgression, Blue-water flow disturbance … | 14 |
| Ice tipping elements | Planetary boundaries and Earth-system tipping | Greenland ice sheet tipping, West Antarctic ice sheet collapse, East Antarctic subglacial basin retreat, Arctic winter sea-ice collapse, Antarctic sea-ice regime shift, Regional glacier extinction | 6 |
| Ocean circulation and marine tipping | Planetary boundaries and Earth-system tipping | Atlantic overturning weakening, Atlantic overturning collapse, Subpolar gyre convection collapse, Antarctic overturning slowdown, Arctic Ocean atlantification, Warm-water coral reef die-off, Marine methane hydrate destabilisation | 7 |
| Biome tipping elements | Planetary boundaries and Earth-system tipping | Amazon rainforest dieback, Boreal forest southern dieback, Boreal forest northern advance, Tropical forest carbon-sink reversal, Sahel vegetation regime shift | 5 |
| Carbon-cycle feedbacks | Planetary boundaries and Earth-system tipping | Permafrost carbon release, Abrupt permafrost thaw emission, Subsea permafrost greenhouse gas release, Wetland methane feedback, Land carbon sink weakening, Ocean carbon sink weakening, Soil carbon respiration feedback | 7 |
| Atmospheric circulation and monsoon tipping | Planetary boundaries and Earth-system tipping | South Asian monsoon regime shift, West African monsoon regime shift, South American monsoon weakening, East Asian monsoon regime shift, Tropical belt widening, Tropical Pacific regime change, Jet-stream regime change, Marine stratocumulus deck breakup … | 9 |
| Deep-time and cosmic catastrophes | Planetary boundaries and Earth-system tipping | Supereruption, Large-magnitude explosive eruption, Flood-basalt eruption episode, Impact winter, Comet shower, Solar superflare, Gamma-ray burst, Nearby supernova … | 10 |
| AI system failure and misalignment | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 |
| Biotechnology and synthetic biology | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Climate intervention technologies | Frontier and exponential technology | 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 | Frontier and exponential technology | 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 | Frontier and exponential technology | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Frontier and exponential technology | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Frontier and exponential technology | 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 | Frontier and exponential technology | Smart-contract and oracle exploit | 1 |
06Pathways
How this risk can move to 2100
FIG 5 · Explorer: a pathway fan chart to 2100
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runs in your browser
07Methods
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.
24 methods
Climate, nature and biodiversity
Climate Extremes · Chronic Climate Risk · Compound Climate Risk · Climate Scenario Ensemble · Climate Attribution Science · Land Cover Change · Deforestation …
17 methods
Policy, regulation and governance
Scenario Counterfactual · Regulatory Change Risk · Policy Uncertainty · Policy Effectiveness · Implementation Gap · Regulatory Exposure · Compliance Obligation Mapping …
08Users
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness; Plan with subnational layers; Track Sendai targets; Co-develop a national index
Universities and research
Replicate every value; Study methods; Contribute data and review
UN system and humanitarian organisations
Compare needs across contexts with intervals; Watch weekly signals for review; Read outlooks for anticipatory planning
09Reports
Nexus Reports
- Edition code
XT-18- Edition status
- planned
- Subject
- Set by Nexus Reports at commissioning
10Cite
Cite and reuse
GCRI Canada (2026). The Global Risks Index (NXS-GRX): Climate intervention technologies series (GRX-SER-XT-18), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/series/xt-18/ UNI NXS-GRX-AR-000105.
- Series key
grix:SER.XT-18:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.CLI.physical_chronic.climate_physical_risk:{ISO3}:{YEAR}:Anis:IDX.CLI.transition.transition_risk:{ISO3}:{YEAR}:Anis:IDX.ENV.biodiversity.environmental_pressure:{ISO3}:{YEAR}:A
Every country reads this series
Each country profile carries the domain indices this series is built from.
Status
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
What NXS-GRX is not
NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.
Institutions and sources
The Nexus Consortium is stewarded by three independent not-for-profit institutions: GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organization, 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.
Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.
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.