Reports · GCRI · Established
Research and evidence · Methods and modelling · Innovation
Reports における 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.
- シリーズ
- 2
- システム
- 3
- 手法
- 5
What this area brings to the editions.
学際的な実験、技術研究、手法、指導付きのイノベーション・チャレンジ・プログラム。
9 findings of the drafted editions that bear on Labs.
Drawn from the Baseline Edition 2026 drafts through the システム this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREアラブ首長国連邦The 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
- ARGアルゼンチンThe 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
- AUアフリカ連合The 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
- AUSオーストラリアThe 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
- BRAブラジルThe 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
- CHEスイスThe 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
- CHN中国The 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
- EU欧州連合The 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-02世界のエネルギーThe 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 システム this area reads to the series it feeds.
How ラボ reaches 報告書: what it reads, how it reads it, the sealed cut and the series it feeds.
| ステップ | 何が起きるか | 出典 |
|---|---|---|
| 01 What it reads | Labs reads NXS-LAB(研究、実験、シミュレーション) と NXS-NXQ(ソフトウェア、モデル、能力のライフサイクル): 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: Reports における Labs (2026); Labs home (2026).
The series it feeds, and what backs each.
| シリーズ | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| ラボ エビデンス | NXS-LAB what was tried, under which conditions, and what happened, including negative results | 研究、エビデンス、科学と政策のインターフェース 複雑 システム and systems modelling | Labs Evidence series home |
| 手法と技術 | 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 | 定量的リスク分析と統計 モデル・リスク and validation リスク指標と合成指数 | 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(設計図、ビルド、署名)NXS-FACNXS-FACNXS-FAC
- STEM の手法STEM コモンズ確率と統計The canonical method page, with its limits.
- STEM の手法STEM コモンズ不確実性の定量化とモデル検証The canonical method page, with its limits.
- STEM の手法STEM コモンズ人工知能と機械学習The canonical method page, with its limits.
- STEM の手法STEM コモンズシステム工学The canonical method page, with its limits.
- STEM の手法STEM コモンズ因果推論とインパクト評価The canonical method page, with its limits.
- Academy disciplineRisk Academy研究、エビデンス、科学と政策のインターフェースガバナンス・政策・国際関係学部
- Academy disciplineRisk Academyイノベーションと先端技術のガバナンスガバナンス・政策・国際関係学部
- Academy disciplineRisk Academy水・エネルギー・食料・生態系ネクサスシステム・Nexus 学部
- 分野GCRI研究と証拠The field across science, governance and finance.
- 分野GCRI手法とモデリングThe field across science, governance and finance.
- 分野GCRIイノベーションThe field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRF報告書Research NexusShared: Research and evidence.
- Counterpart · GRF報告書Innovation NexusShared: Innovation.
- Counterpart · GRA報告書アクチュアリーと定量的リスクShared: Methods and modelling.
- Standards areaNexus StandardsデータとデータセットData and evidence. Parts NS-3, NS-3b, NS-11, NS-1.
- Standards areaNexus StandardsソフトウェアとサプライチェーンTrust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus Standards文書化と出版Data and evidence. Parts NS-2, NS-4, NS-7, NS-8.
- Standards areaNexus Standards来歴とエビデンスData and evidence. Parts NS-3b, NS-11, NS-3.
- Standards areaNexus Standards検証とモニタリングTrust, verification and assurance. Parts NS-11, NS-10, NS-14.
- Standards areaNexus Standardsプライバシーとデータ保護Data 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.
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- エビデンス
- 訂正
- 事例研究
- Analysis or method
- 査読
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- Profile input
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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
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- CRediT
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Find and follow
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}Releases for this area.
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Send evidence on Labs.
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Around the reports at GCRI.
Bring what you know to the next edition.
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