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GRF · Foresight Nexus

Methods and critical debate

The methods Foresight Nexus relies on to inform policy and governance decisions: comparative governance, policy analysis, foresight and exercises with institutions, with the mandates they serve and their limits.

01شوێنی کار

The workspace for methods and critical debate.

Evidence register

Foresight · Methods and critical debate · Example interface, not a record

Register currentGRF · Foresight Nexus

نیشاندەرەکان

unit · cadence · label

Signals loggedsignalsweeklyئامارە بڵاوکراوەکانSP-7192
Clusters emergingclustersquarterlyDERIVEDSP-4671
Scenarios in usescenariosannualئامارە بڵاوکراوەکانSP-9239
Policies wind-tunnelledpoliciesannualئامارە بڵاوکراوەکانSP-0789
Indicators monitoredنیشاندەرەکانquarterlyئامارە بڵاوکراوەکانSP-6868

Source passport

سەرچاوە
Signals library
مۆڵەت
open · attribution
پارێزەر
Futures panel
داپۆشین
92 pct of places
سنووردارییە ناسراوەکان
sparse in uplands

Coverage by place

Evidence register.ڕووکاری نموونەیی؛ داتای ڕاستەوخۆ نییە.

Foresight Nexus · Evidence register. Evidence register: example names and illustrative values, not a record.

03The foresight toolkit with

The foresight toolkit with its proper uses.

ڕێگاOutputPlatform page
Scenario planning and stress testingPlans tested against several futuresScenario stress
Forecasting and prediction aggregationProbabilities for well-defined questionsپێشبینیکردن
Robust decision makingStrategies that perform acceptably across futuresشیکاریی بڕیار
Complex سیستەمە modellingBehaviour of interacting parts over timeسیستەمە ئاڵۆزەکان
04پرۆسە

چۆن پرۆسەکە کار دەکات.

Process explorer · Process

Methods and critical debate: Catastrophe model pipeline

10 steps5 قۆناغ

پرۆسە

Methods and critical debate: Catastrophe model pipeline

Catastrophe models usually have hazard, vulnerability, exposure and financial modules, and produce loss tables, average annual loss, exceedance curves, PML and TVaR.

  1. 01 Hazard

    1. 01Event catalogueDataset · Model developerThe hazard module holds a large catalogue of simulated events that represents a wide range of plausible scenarios.
    2. 03Hazard moduleModel · Model developerFor each event the hazard module gives the local hazard intensity that the vulnerability module reads.
  2. 02 Exposure and damage

    1. 02ڕووبەڕووبوونDataset · Scanning network memberThe exposure module houses the portfolio data, such as location-specific information.
    2. 04Vulnerability moduleModel · Model developerThe vulnerability module quantifies the expected damage to the exposures from an event.
  3. 03 Financial

    1. 05Financial moduleModel · Scanning network memberThe financial module calculates losses from all event scenarios. Ground-up, gross and net losses differ as shown below.
    2. 06Event loss tableDataset · Scanning network memberAn event loss table lists each event with its annual occurrence probability and its loss for the portfolio.
    3. 07Year loss tableDataset · Scanning network memberSome models also sample simulated years from event losses. This outline does not describe their format.
  4. 04 Metrics

    1. 08Exceedance probability curvesModel · Scanning network memberThe occurrence curve gives the chance that the largest loss in a year exceeds an amount. The aggregate curve does so for the sum of losses.
    2. 09AAL, PML and TVaRModel · Scanning network memberAverage annual loss sums event probability times loss. PML is one point on the occurrence curve.
  5. 05 Use of results

    1. 10Use of resultsDecision · Scanning network memberThe tail metrics are used when considering a portfolio’s exposure and the level of catastrophe reinsurance an insurer requires.

Outline of an external standard or method, from its public sources. It describes what the framework says, not a record of any run. It does not show that Nexus or any partner performs, certifies or approves a step. A gate is a step of the method, never a Nexus approval.

05نادڵنیایی

How uncertainty is reported.

  1. 01

    State assumptions

    Each analysis lists its assumptions and the data it depends on.

  2. 02

    Quantify where possible

    Ranges and confidence are reported alongside central estimates.

  3. 03

    Validate and compare

    Models are checked against observations and, where possible, against other models.

  4. 04

    Publish limits

    What an analysis cannot show is stated beside what it can.

06سەرچاوەکان

Where this page’s references lead.

ئەو لەش و بەڵگەنامانەی ئەم لاپەڕەیەیان لەگەڵ دەخوێنرێتەوە. دۆخ و وەشانەکان دەگۆڕێن؛ هەر بەستەرێک دەچێتە لای لەشی دەرکەر.

07پرسیارەکان

پرسیار و وەڵام.

Are the methods open?
Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.
Reportsبەشداربە

لەم لاپەڕەیەوە بەڵگە پێشکەش بکە.

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.

Global Risks ForumForesight Nexusڕوانگەی پێشبینیی ستراتیژیسیناریۆ و تاقیکردنەوەی گوشار
Foresight Nexus

پرسیارێکی حوکمڕانی بهێنە بۆ فۆرومەکە.

زانیاری و پرسیار ئەمڕۆ کراوەن. پرسیارێک ژمارەی ئاماژەی پێدەدرێت و هەنگاوی دواتر دیاری دەکات؛ داواکاری، پارەدان، تەرخانکردنی کۆمپیوتەر و تۆمارکردن تەنیا کاتێک دەکرێنەوە کە تیم، مەرج و توانای پێداچوونەوەیان هەبێت.

یاسایی
پیشاندانی هەموو 18 بەڵگەنامە یاساییەکە

نەخشە، داتا و وێنەکانی ئەم ماڵپەڕە بۆ ناوەڕۆک و زانیاریی گشتی پیشان دراون. ئامۆژگاری، پێشبینی یان ئاگادارکردنەوە نین؛ سنوورەکانی زانیارییەکە لە ڕەتکردنەوەی بەرپرسیارێتی و ئاگاداریی داتادا دەستنیشان کراون.