Reports · GCRI · Established
Research and evidence · Methods and modelling · Innovation
Reports의 Labs
Interdisciplinary experiments, technical research, methods and supervised innovation challenge programmes. This page shows the series it feeds, the evidence behind it and how to contribute.
- 시리즈
- 2
- 시스템
- 3
- 방법
- 5
What this area brings to the editions.
학제 간 실험, 기술 연구, 방법과 지도 하의 혁신 과제 프로그램.
9 findings of the drafted editions that bear on Labs.
Drawn from the Baseline Edition 2026 drafts through the 시스템 this area reads. Each opens at its anchor in its edition, with its numbered sources.
- ARE아랍에미리트The leading compound pathway for 2027 testing is a humid summer heat peak that loads power, desalination and outdoor-work protection together.EXPERT INPUT · COUNTRY-ARE-SYS-012
- ARG아르헨티나The leading compound pathway for 2027 testing is a multi-year drought with low Paraná flows that cuts harvests, river exports, hydropower and public revenue together.EXPERT INPUT · COUNTRY-ARG-SYS-012
- AU아프리카연합The leading compound pathway for 2027 testing is a drought year across several member states, met by high food prices and a disease outbreak.EXPERT INPUT · COUNTRY-AU-SYS-012
- AUS오스트레일리아The leading compound pathway for 2027 testing is a hot, dry summer in which fire, smoke, heat and grid stress coincide in the populated south-east.EXPERT INPUT · COUNTRY-AUS-SYS-012
- BRA브라질The leading compound pathway for 2027 testing is a strong El Niño drought that lowers Amazon rivers and hydropower while fire and thermal dispatch rise together.EXPERT INPUT · COUNTRY-BRA-SYS-012
- CHE스위스The leading compound pathway for 2027 testing is a dry year with low reservoirs and low river flows that cuts hydropower and raises winter import dependence at the same time as farm and forest stress.EXPERT INPUT · COUNTRY-CHE-SYS-012
- CHN중국The leading compound pathway for 2027 testing is extreme rain on a dense plain in a hot summer that cuts roads, underground transport, water and care together.EXPERT INPUT · COUNTRY-CHN-SYS-012
- EU유럽연합The leading compound pathway for 2027 testing is a summer of heat, drought and fire across several member states at once, met by tight energy supply.EXPERT INPUT · COUNTRY-EU-SYS-012
- GS-02글로벌 에너지The leading compound pathway for 2027 testing is a fuel supply shock that coincides with a hot, high-demand season and a stressed grid.EXPERT INPUT · SECTOR-ENERGY-GLOBAL-SYS-012
From Foundry evidence to the series.
The evidence, step by step, from the 시스템 this area reads to the series it feeds.
How 랩 reaches 보고서: what it reads, how it reads it, the sealed cut and the series it feeds.
| 단계 | 진행 내용 | 출처 |
|---|---|---|
| 01 What it reads | Labs reads NXS-LAB(연구, 실험, 시뮬레이션) 와 NXS-NXQ(소프트웨어, 모델, 역량 수명주기): governed sources with their releases, never a value without its source. | |
| 02 How it reads them | Probability and statistics and Uncertainty quantification and model validation turn the evidence into findings, with assumptions and limits stated beside each value. | |
| 03 The cut is sealed | Each quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt. | |
| 04 The series it feeds | The cut feeds Labs Evidence and Methods and Technical, from the Baseline Edition 2026 into the quarterly series. | |
| 05 Who decides | Decisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it. |
A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Reports의 Labs (2026); Labs home (2026).
The series it feeds, and what backs each.
| 시리즈 | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| 랩 증거 | NXS-LAB what was tried, under which conditions, and what happened, including negative results | 연구, 근거, 과학과 정책의 접점 복잡 시스템 and systems modelling | Labs Evidence series home |
| 방법 및 기술 | The Global Risks Index(NXS-GRX) the methods, indicators and validation studies behind each product NXS-LAB method comparisons under transparent test conditions NXS-NXQ the fitness record of models and tools the methods use | 정량적 위험 분석과 통계 모델 리스크 and validation 위험 지표와 복합 지수 | Methods and Technical series home |
The systems, methods and teaching behind it.
- NXS-LABNXS-LABNXS-LABRooms: Experiments, Benchmarks.
- NXS-NXQNXS-NXQNXS-NXQRooms: Capabilities, Competence.
- NXS-FAC(설계도, 빌드, 서명)NXS-FACNXS-FACNXS-FAC
- STEM 방법STEM 공유지확률과 통계The canonical method page, with its limits.
- STEM 방법STEM 공유지불확실성 정량화와 모델 검증The canonical method page, with its limits.
- STEM 방법STEM 공유지인공지능과 머신러닝The canonical method page, with its limits.
- STEM 방법STEM 공유지시스템 공학The canonical method page, with its limits.
- STEM 방법STEM 공유지인과 추론과 영향 평가The canonical method page, with its limits.
- Academy disciplineRisk Academy연구, 근거, 과학과 정책의 접점거버넌스·정책·국제관계 학부
- Academy disciplineRisk Academy혁신과 첨단 기술 거버넌스거버넌스·정책·국제관계 학부
- Academy disciplineRisk Academy물·에너지·식량·생태계 넥서스시스템·Nexus 연구 학부
- 분야GCRI연구와 증거The field across science, governance and finance.
- 분야GCRI방법론과 모델링The field across science, governance and finance.
- 분야GCRI혁신The field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRF보고서Research NexusShared: Research and evidence.
- Counterpart · GRF보고서Innovation NexusShared: Innovation.
- Counterpart · GRA보고서보험계리와 정량 리스크Shared: Methods and modelling.
- Standards areaNexus Standards데이터와 데이터셋Data and evidence. Parts NS-3, NS-3b, NS-11, NS-1.
- Standards areaNexus Standards소프트웨어와 공급망Trust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus Standards문서화와 출판Data and evidence. Parts NS-2, NS-4, NS-7, NS-8.
- Standards areaNexus Standards출처와 근거Data and evidence. Parts NS-3b, NS-11, NS-3.
- Standards areaNexus Standards검증과 모니터링Trust, verification and assurance. Parts NS-11, NS-10, NS-14.
- Standards areaNexus Standards개인정보와 데이터 보호Data and evidence. Parts NS-10, NS-11, NS-3.
Topic pages on Labs.
Contribute on Labs.
Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.
Write a contribution the editor can act on.
Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.
Your email opens with the subject and a template already filled in for GW-GCRI.
- 증거
- 정정
- 사례 연구
- Analysis or method
- 동료 검토
- 번역
- Profile input
Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.
Open science for Labs.
How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.
Labs’s open record
Credit and identity
- ORCID
- Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
- ROR
- Your organisation by its ROR identifier, never by a typed name alone
- CRediT
- Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
- 계정
- None needed to contribute; never a password
Find and follow
Search the open indexes for Labs; software is cited by its SWHID from Software Heritage. Annotation is your choice: Hypothesis opens this page in its own viewer.
Mirrors and harvest
The DOI is canonical. At release each signed bundle is also given an IPFS content identifier and a bloxberg anchor as mirrors; both are listed in the record once they exist. Zenodo exposes every record over OAI-PMH, and reviews and endorsements can arrive through COAR Notify where the repository supports it.
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}Releases for this area.
Releases tagged to this area appear here once released.
Send evidence on Labs.
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Around the reports at GCRI.
Bring what you know to the next edition.
Every quarter closes on a sealed evidence cut. Contributions received before the cut are reviewed for that edition; later ones wait for the next.
법률 문서.
이 사이트의 지도, 데이터와 그림은 맥락과 일반 정보로 제시됩니다. 조언, 예보 또는 경보가 아니며, 정보의 한계는 면책 고지와 데이터 고지에 나와 있습니다.
CC BY 4.0 Free to read. Text and figures: CC BY 4.0. Data: CC0 1.0. Authors keep copyright. Published by GCRI Canada.
