GRF · Foresight Nexus

人口与社会的未来

Population ageing, migration, urbanisation, changing households and shifts in trust and 社会凝聚力 are the slow variables of the future. Some are largely set by people already born; others, such as migration and trust, can turn quickly. This page sets out how demographic projections and social measures are used in foresight, how institutions misread slow change until it becomes urgent, and which ministries and parliaments hold the decisions.

01画布

工作如何开展。

系统 · 围绕本主题示意

地平线扫描看板

Demographic and social futures · Horizon 2040 · Round 5

意义建构GRF · Foresight Nexus

信号

保险公司退出高风险邮政编码区金融中高防护性后撤
非正规住区中的廉价传感器技术高中公民数据
高温限制户外工作时长劳工中高高温经济
选举中的合成媒体信息低高信任侵蚀

驱动因素排序

影响与不确定性

情景轴

轴 1
合作 · 碎片化
轴 2
慢 · 快的技术变革
情景
四种叙事,不是预测
使用
用风洞检验每项政策
Horizon scanning board: the screen’s structure, terms and states for Demographic and social futures.示例名称和示意数值;是设计方案,并非记录或实时系统。

图Horizon scanning board: example names and illustrative values, not a record or a live system.

02问题

Demographic and social futures: how the risk develops.

Ageing, migration, trust and cohesion. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

机制

Momentum and cohorts

Today’s age structure carries forward for decades: much of the next generation’s working-age population is already born. Projections are most reliable for people alive now and least reliable for future births and migration.

机制

Migration as the swing variable

Migration responds to conflict, climate, labour demand and policy, and can change faster than fertility or mortality. It is often the biggest source of uncertainty in national projections.

机制

Trust and cohesion

Trust in institutions and in other people shapes compliance, collective action and the capacity to absorb shocks. It tends to erode slowly and can collapse quickly after perceived unfairness or failure.

机制

Slow change, late response

Pensions, health 系统, schools and housing are built for an age structure that shifts gradually. Institutions often respond only when pressure becomes acute, though the evidence was visible long before.

03地理

People and exposure in the Arctic.

来自 NASA GIBS 的北极地区人口密度、夜间灯光与洪水。每个图层都注明其日期。

交互式地图需要JavaScript;图层列表和来源见下文。

图层 3

本页的人口与暴露情况

关于此图层
证据
估计值
来源
世界网格化人口 v4.11(NASA SEDAC(哥伦比亚大学 CIESIN))
提供方
NASA SEDAC(CIESIN,哥伦比亚大学)
许可协议
CC BY 4.0
年份版本
null;基于人口普查的估算,静态(2020)
分辨率
约 1 公里网格
不确定性
基于普查的 2020 年每平方公里人口估算,作为风险暴露背景展示;不是受任何危害影响的人口数。
可通过以下方式到达
gibs.earthdata.nasa.gov,仅在您允许加载实时地图后访问
关于此图层
证据
观测
来源
VIIRS 黑色大理石(VNP46A2)(NASA LAADS DAAC)
提供方
NASA LAADS DAAC
许可协议
NASA 开放数据
年份版本
每日;卫星辐亮度,已校正月光和大气影响
构建时的最新内容
2026-10-12
分辨率
约 500 米网格
不确定性
所示日期的卫星夜间辐亮度;灯光是用电和停电情况的代理指标,不是对供应或可及性的测量。
可通过以下方式到达
gibs.earthdata.nasa.gov,仅在您允许加载实时地图后访问
关于此图层
证据
观测(持续云层仍会造成缺口)
来源
VIIRS NOAA-20 3 级产品,8 日(NASA LANCE)
提供方
NASA LANCE
许可协议
NASA 开放数据
年份版本
8 日;卫星 8 日合成;持续云层仍会造成缺口
构建时的最新内容
2026-09-14
分辨率
约 1 公里网格
不确定性
截至所示日期的 8 天内地表的卫星表面温度,是一项热风险暴露指标;不是气温、热指数或高温预警。
可通过以下方式到达
gibs.earthdata.nasa.gov,仅在您允许加载实时地图后访问
关于此图层
证据
观测(云层造成缺口)
来源
VIIRS 全球洪水产品(NASA LANCE)
提供方
NASA LANCE
许可协议
NASA 开放数据
年份版本
每日;卫星探测;云层造成缺口
构建时的最新内容
2026-10-14
分辨率
约 250 米网格
不确定性
卫星探测;云层造成缺口。按提供方发布的原样提供的卫星或模型栅格数据。云层、扫描带缺口和反演误差会造成缺口和噪声;这些数值是指标,不是某一地点的测量值。
可通过以下方式到达
gibs.earthdata.nasa.gov,仅在您允许加载实时地图后访问
关于此图层
证据
观测(云层和过境时间造成缺口)
来源
VIIRS NOAA-20 375 米(FIRMS)(NASA LANCE FIRMS)
提供方
NASA LANCE FIRMS
许可协议
NASA 开放数据
年份版本
每日;卫星探测;云层和过境时间造成缺口
构建时的最新内容
2026-10-13
分辨率
约 500 米网格
不确定性
所示日期的卫星热点探测结果,包括天然气火炬和工业热源;不是已确认的火情、事件报告或预警。
可通过以下方式到达
gibs.earthdata.nasa.gov,仅在您允许加载实时地图后访问
关于此图层
证据
观测(云层造成缺口)
来源
OMI Aura(NASA GES DISC)
提供方
NASA GES DISC
许可协议
NASA 开放数据
年份版本
每日;卫星反演;云层造成缺口
构建时的最新内容
2026-10-10
分辨率
约 2 公里网格
不确定性
所示日期低层大气二氧化氮的卫星柱含量,主要来自燃烧;不是地面浓度,也不是健康预警。
可通过以下方式到达
gibs.earthdata.nasa.gov,仅在您允许加载实时地图后访问

最新可用

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap贡献者 (ODbL) · Natural Earth

正在加载最新的NASA影像。

拖动以移动。按住 Ctrl 或 ⌘ 并滚动、双指缩放或使用按钮缩放;悬停可查看指针下的数值;重置可返回该区域。

People and exposure, framed on the Arctic.NASA 发布的卫星和模型产品,各带自己的日期。它们是指标,而非对任何地点的评估。

数据:NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap 贡献者 · Natural Earth · NASA EONET · CIESIN/Columbia, NASA SEDAC HBASE · 美国地质调查局来源与许可

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA 开放数据
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA 开放数据
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). 采用 CC BY 4.0 许可。颜色依据已发布的色标重绘;显示处的数值已按六边形网格平均(经修改)。 doi:10.7927/H49C6VHW. CC BY 4.0
  • VIIRS Black Marble 夜间灯光,NASA 戈达德航天中心;由 NASA Level-1 与大气档案和分发系统(LAADS DAAC)分发;影像来自 NASA GIBS。颜色依据已发布的色标重绘;显示处的数值已按六边形网格平均(经修改)。 NASA 开放数据
  • VIIRS 近实时产品(洪水、地表温度、积雪覆盖、校正反射率),NASA LANCE;影像来自 NASA GIBS。颜色依据已发布的色标重绘;显示处的数值已按六边形网格平均(经修改)。 NASA 开放数据
  • NASA 资源管理火灾信息系统(FIRMS),VIIRS 375 m 活跃火点产品,NASA LANCE;矢量瓦片来自 NASA GIBS。颜色依据已发布的色标重绘;显示处的数值已按六边形网格平均(经修改)。 NASA 开放数据
  • OMI 二氧化氮(Aura)和 OMPS 气溶胶指数(Suomi NPP),NASA;由 NASA GES DISC 分发;影像来自 NASA GIBS。颜色依据已发布的色标重绘;显示处的数值已按六边形网格平均(经修改)。 NASA 开放数据
  • ASTER GDEM 是 METI 和 NASA 的产品(ASTER Global Digital Elevation Model V003,NASA LP DAAC);影像来自 NASA GIBS。颜色依据已发布的色标重绘;显示处的数值已按六边形网格平均(经修改)。引用格式:NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA 开放数据
  • 使用 Natural Earth 制作。免费矢量和栅格地图数据,见 naturalearthdata.com。 公有领域
  • © OpenStreetMap 贡献者(ODbL),经由 NASA GIBS(海岸线、边界、道路和地名)。颜色依据已发布的色标重绘;显示处的数值已按六边形网格平均(经修改)。 ODbL
  • Blue Marble,NASA Earth Observatory;影像来自 NASA GIBS。颜色依据已发布的色标重绘;显示处的数值已按六边形网格平均(经修改)。 NASA 开放数据
  • 地球仪和平面地图上的背景信息:海岸线、边界、道路和地名来自 NASA GIBS 参考图层(OpenStreetMap 数据,ODbL,© OpenStreetMap contributors);Blue Marble 影像可作为可选底图;3D 地形和高程读数来自 ASTER GDEM 高程色彩指数(5 m 至 200 m 分级,为便于辨识而作了夸张处理)。边界按已发布的样式绘制,不代表对任何领土的立场。
  • 实时事件:NASA Earth Observatory Natural Event Tracker(EONET);事件仅供参考,并保留其原始来源链接。
  • 实时:NASA EONET。事件仅供参考,不是主管机构的预警。
  • 背景:CIESIN/Columbia, NASA SEDAC HBASE。哥伦比亚大学国际地球科学信息网络中心(CIESIN)和 NASA 社会经济数据与应用中心(SEDAC):Global Human Built-up And Settlement Extent (HBASE) 2010;Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030;Global Urban Heat Island (UHI) Data Set, 2013。
  • 实时:美国地质调查局。事件仅供参考,不是主管机构的预警。
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • 空气质量预报,5 天,PM2.5(CAMS,经由 Open-Meteo):包含经修改的 Copernicus 大气监测服务 2026 年信息。
  • 天气数据来自 Open-Meteo.com (https://open-meteo.com/), 依据 CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). 授权。
  • 可选图层(图层列表中有 9 个来源:实时、预报、观测和背景)开启时会在地图上和此处显示其提供方署名;预报是模型输出,派生指数是估计值。

图层与日期

  • 人口密度,2020 年:人口:哥伦比亚大学 CIESIN,世界网格化人口 v4.11(2018),NASA SEDAC, CC BY 4.0 · 静态
  • 夜间灯光,每日:VIIRS Black Marble(VNP46A2),NASA LAADS DAAC · 2026年10月12日
  • 地表温度,日间,8 天合成:VIIRS NOAA-20 3 级产品,8 天,NASA LANCE · 2026年9月14日
  • 洪水水体,3 日合成:VIIRS 全球洪水产品,NASA LANCE · 2026年10月14日
  • 活跃火点与热异常:VIIRS NOAA-20 375 m(FIRMS),NASA LANCE FIRMS · 2026年10月13日
  • 二氧化氮,低层大气柱:OMI Aura,NASA GES DISC · 2026年10月10日

04指标

衡量什么,以及衡量得如何。

每个指标都注明其单位、频率、背后的来源类型以及数值将附带的证据标签。此处不显示数值:数值由计划依据其自身权限提供。

指标单位节奏来源类型标签
Old-age dependency ratiopersons of pension age per hundred of working age年度Population projections模型估算
Total fertility ratebirths per woman年度Civil registration and surveys已发布统计
Net migrationpersons per year年度National statistics and international estimates估算
Forcibly displaced populationpersonshalf-yearlyRefugee and displacement statistics已发布统计
Width of population projection intervalspersonsper projection revisionProbabilistic projections模型估算
对国家政府的信任受访者占比per survey waveRepresentative surveys已报告
Interpersonal trust受访者占比per survey waveValues surveys已报告
Young people not in employment, education or trainingshare of youth population年度Labour force surveys已发布统计
05政策情景

比较文书:规则、激励和信息。

三类文书与基线并列比较,各有其滞后和采纳速度,在你设定的覆盖率和遵守率下运行;效应量是教学数值,应以证据替换。情景:关于未来的明示假设,不是预测。本页地图显示的是北极;模型本身不限于某一地点。

控制措施

结果的基线趋势
每年 2.0%
该工具的覆盖范围
70%
合规
75%
效应量,相对于教学取值
100%
未来年数
20 年

读数

期末时点降幅最大
监管
相对基线的降幅
21%
数字、方法与来源
年份基线监管经济激励信息与能力
0100.099.598.899.1
1102.0101.2100.199.8
2104.0102.5101.199.9
3106.1103.5101.6100.0
4108.2103.7101.8100.7
5110.4103.2101.7102.1
6112.6102.0101.6103.9
7114.9100.4101.6105.9
8117.299.2102.1108.0
9119.598.6102.9110.1
10121.998.9104.2112.3
11124.399.7105.7114.5
12126.8101.1107.4116.8
13129.4102.7109.4119.2
14131.9104.5111.4121.6
15134.6106.5113.5124.0
16137.3108.5115.7126.5
17140.0110.7118.0129.0
18142.8112.9120.4131.6
19145.7115.1122.8134.2
20148.6117.4125.2136.9

方法

  1. 政府工具 Hood (1983), The Tools of Government, Macmillan
  2. 胡萝卜、大棒与说教 Bemelmans-Videc, Rist and Vedung (1998), Transaction
  3. 创新扩散 Rogers (2003), Diffusion of Innovations, Free Press
  4. 不确定性扇形图(参数蒙特卡罗) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  5. 单因素敏感性(龙卷风图) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

数据

The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:

  • 边界 Natural Earth
  • 城市 Natural Earth
比较政策工具:规则、激励和信息。示意性教学模型:依据控件设定的数值运行,而非实测数据。方法:政府工具(Hood (1983), The Tools of Government, Macmillan);胡萝卜、大棒与说教(Bemelmans-Videc, Rist and Vedung (1998), Transaction);创新扩散(Rogers (2003), Diffusion of Innovations, Free Press)。
06来源

证据来自何处。

具名公共数据集与机构记录,各自注明许可类别。依协议获得的来源仅按其条款使用,绝不再次发布。

来源它提供什么许可类别
联合国《世界人口展望》Population estimates and probabilistic projections by age and sex for every countryCC BY 3.0 IGO
Wittgenstein Centre Human Capital Data ExplorerPopulation projections by age, sex and education under the shared socioeconomic pathways免费,须署名
UNHCR Refugee Data FinderStatistics on forcibly displaced and stateless peopleCC BY 4.0
IOM Migration Data PortalCompiled migration statistics and evidence on migration driversFree with attribution, IOM terms
OECD Survey on Drivers of Trust in Public InstitutionsComparable measures of trust and its drivers across member countriesOECD terms, free with attribution
World Values SurveyValues, beliefs and interpersonal trust across waves and countriesFree for non-commercial use with registration
ILOSTATLabour market statistics, including young people outside employment and educationCC BY 4.0
07实施

从授权到评估,按支柱划分。

一项文书从授权到评估所经历的步骤,每一步都标明负责运行的支柱,以及仍由当局作出的决定。这是带有明示说明性数值的教学模型,不是预测。本页地图显示的是北极;模型本身不限于某一地点。

  1. 授权与问题界定 主管当局(计划之外)
    主管当局依其自身规则界定问题和授权。 Howlett、Ramesh 和 Perl(2009)
  2. 证据与系统模型 Foundry
    对系统及其反馈、数据和已说明的局限进行建模。 OECD (2014),原则 2
  3. 在情景下评估备选方案 Foundry
    在情景下比较各项政策工具,并显示不确定性。 Hood (1983)
  4. 与利益相关方演练 宇宙
    在演练中与将实施和承担这些方案的各方一起检验方案。 OECD(2014),原则 3
  5. 起草标准或指南 Nexus Standards
    行之有效的做法被编纂为标准或指南,并公开征求意见。 Nexus Standards 流程
  6. 由主管当局决定 主管当局(计划之外)
    主管当局在计划之外,依据记录在案的证据作出决定。 Howlett、Ramesh 和 Perl(2009)
  7. 能力与培训 Risk Academy
    负责实施的人员接受关于所决定文书及其数据的培训。 仙台框架(2015),优先事项 2
  8. 监测与公开报告 报告
    指标连同来源、局限和更正一并发布。 OECD(2014),原则 5
  9. 评估与修订 Nexus Standards
    结果反馈至标准和模型:循环闭合。 Howlett、Ramesh 和 Perl(2009)

方法

  1. 政策周期 Howlett, Ramesh and Perl (2009), Studying Public Policy, Oxford University Press
  2. 关键风险治理 OECD(2014),Recommendation of the Council on the Governance of Critical Risks
  3. 有向图的分层绘制 Sugiyama, Tagawa and Toda (1981), IEEE SMC 11
从授权到评估,按支柱划分:所记录的各个步骤及其所属支柱;来源按各步骤所引。
08决定

由谁决定,以及证据服务于什么。

Foresight Nexus 负责准备证据。以下决定由所列主管机构依据其自身规则作出,绝不由平台作出。

谁来决定问题本页面服务的证据
Finance ministries and fiscal councilsHow ageing and migration scenarios affect long-term fiscal sustainabilityProjection intervals and variants, with the assumptions on fertility, mortality and migration stated
Labour, social affairs and health ministriesHow pension, care and health 系统 should adapt to changing age structuresCohort projections, dependency measures and scenarios for care demand and workforce
Interior and migration ministriesWhich migration scenarios to plan reception and integration capacity forMigration scenarios with drivers, ranges and the signposts that would show which is unfolding
Parliaments and parliamentary committees for the futureHow to scrutinise demographic and social pressures that run beyond the electoral cycleDemographic outlooks, trust measures and the institutional choices they raise

该主题产生的产出

  • Demographic outlooks with projection intervals and scenario variants
  • Social cohesion signal reviews drawing on trust and survey evidence
  • Scenario learning protocols for ageing, migration and cohesion
  • Notes separating what is close to set from what depends on choices
09孪生与级联模拟器

Exercise a cascade in demographic and social futures with the people who decide.

Assembled from the Nexus Standards area profile 子孙后代与长期风险: the hazards it names, the 系统 and communities that carry the loss, the controls and institutions that dampen it and the data that observe it. Pick an initiating event and step through the cascade to see where mandates meet and which decisions fall to whom. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise for dialogue, not a forecast, an assessment or a position. To model a place of your own choosing, open the full System Builder.

灾害

  • Nuclear war
  • 溃坝
  • 金融传染
  • Cryptographically relevant quantum computer
  • 河流洪水(在下游引发)
  • Flash flood (set off downstream)
  • 大规模流离失所(在下游引发)
  • Nuclear detonation (set off downstream)
  • Health-system overload (set off downstream)
  • Data breach (set off downstream)
  • Mass account takeover (set off downstream)
  • Harvest-now, decrypt-later collection (set off downstream)
  • 大范围停电(在下游引发)
  • 供水短缺(在下游引发)
  • Sovereign debt crisis (set off downstream)
  • Currency crisis (set off downstream)
  • Nuclear winter (set off downstream)
  • High-altitude electromagnetic pulse (set off downstream)

控制措施

  • NS-0 章程与原则
  • NS-9 情境 UNI(部署、实例、计划实例)
  • NS-10 政策和条款(机器可读的义务:定义、约束、评估和执行)
  • NS-11 验证与监测(证据、证明、零信任符合性观测)
  • NS-13 标准制定流程(公开提案、审查、版本管理、采纳)
  • NRS-U12 宇宙 platform profile: Foresight Nexus
  • NRS-H26 危害类别:土地与湿地退化(NHS-1 eco.land)
  • NRS-H92 危害类别:老化与退化的基础设施(NHS-1 infra.ageing)
  • NRS-P4 前瞻、地平线扫描与战略
  • NRS-H11 危害类别:沿海与海平面危害(NHS-1 water.coastal)
  • NRS-H31 危害类别:持久性和生物累积性物质(NHS-1 poll.persistent)

观测

  • Our World in Data datasets (listed for reference)
  • CMIP6 气候预估(Copernicus Climate Data Store)(仅列作参考)
  • World Bank Open Data 和 World Development Indicators API(仅列作参考)
  • Number of countries with mechanisms in place to enhance policy coherence of sustainable development

示例地理范围

  • 孟加拉国:134 个六边形单元
  • 今夜夜间灯光与停电(VIIRS 昼夜波段),NASA GIBS
  • 穿透云层的地表水,30 m(OPERA DSWx-S1 雷达),NASA GIBS
  • 过去半小时降雨率(IMERG),NASA GIBS
  • 地表土壤湿度(SMAP),NASA GIBS
10核心问题

从业者提出的问题。

  • How will population ageing affect labour markets, public finances and care 系统?
  • How could migration patterns change with climate, conflict and economic opportunity?
  • What drives trust in institutions, and how could it erode or recover?
  • How do inequality and polarisation affect a society’s capacity to manage shocks?
  • How do generational differences shape future values and priorities?
11工具与承诺

How demographic and social futures is governed: instruments, mandates and commitments.

政策制定者、外交官或发展机构所使用的文书、授权、行为方和问责安排,并注明设定它们的协定。结构遵循所列框架。所绘制的任何状态或进展均为说明性,并非记录。

政策工具矩阵

The kinds of instrument available on demographic and social futures, by level of government and cooperation.

工具类型地方国家区域全球
监管型分区、建筑规范法律、标准、许可统一规则公约与条约
经济地方税费、拨款预算项目、税收、保险计划风险池,区域基金融资机制
信息地方预警披露、预警、统计数据共享安排全球监测与报告
制度型地方委员会牵头机构,协调理事会区域机构与秘书处多边授权
合作型社区协议伙伴关系契约谅解备忘录与联合计划协定与共同承诺
A typology after the OECD Recommendation on the Governance of Critical Risks; examples of instrument types, not an inventory of any country’s measures.
《仙台框架》(减少灾害风险) · 联合国减少灾害风险办公室《巴黎协定》 · 《联合国气候变化框架公约》《2030 年可持续发展议程》和可持续发展目标 · 联合国《国际卫生条例》 · 世卫组织
12机制

驱动因素与动态。

Demographic change is among the more predictable long-term forces, because the people who will be adults in coming decades are already born. Many countries are ageing as fertility falls and life expectancy rises, while others have young and growing populations. These patterns shape labour supply, public spending, care needs and political priorities. Migration links regions with different demographic profiles and is influenced by economic, environmental and political conditions.

Social trends are less predictable. Trust in institutions, 社会凝聚力 and polarisation can shift quickly in response to crises, information environments and perceptions of fairness. Societies with high trust and cohesion tend to manage collective crises more effectively, so these factors are central to resilience. Changes in information environments, including the spread of misinformation, are an active area of research.

Why now: ageing, urbanisation and migration are reshaping exposure and capacity in most regions, slowly but predictably. Foresight Nexus convenes institutions to examine what these shifts mean for services and risks over decades, and records the questions for current mandates.

13方法与局限

如何开展。

  1. 01

    Demographic projection

    Cohort-based projections, drawing on forecasting and time-series analysis, estimate future population structures under stated assumptions.

  2. 02

    Social surveys

    Long-running surveys track values, trust and attitudes over time.

  3. 03

    Participatory foresight

    Engaging citizens and communities to explore social futures from their perspectives.

  4. 04

    局限

    Projections depend on assumptions about fertility, mortality and migration; social trends can reverse, and survey data may not capture marginalised groups.

14方法

如何研究,以及方法无法说明的内容。

  1. 预测与时间序列分析汇总判断性预测 · 概率性人口预测在此应用
  2. 情景设计与压力测试探索性情景开发 · 政策风洞测试在此应用
  3. 复杂系统与基于主体的建模驱动因素的系统梳理 · 基于主体的社会变迁探索在此应用
  4. 不确定性下的决策分析稳健决策 · 动态适应性政策路径 · 结构化专家判断征询在此应用
15问题

问题与解答。

Why are population projections more reliable than most forecasts?
Because much of the future population is already alive and ages predictably. The uncertainty concentrates in future births, old-age mortality and especially migration, which probabilistic projections show as widening intervals.
Can trust be forecast?
Not reliably. Trust measures show levels and trends, and foresight explores what could erode or rebuild them. Sudden shifts often follow events that scenarios can anticipate in kind but not in timing.
Why use scenarios when demographic projections exist?
Projections extend assumptions; scenarios question them. Combining the two lets institutions see what is close to set and what depends on choices about migration, family policy and longevity.
Are demographic projections forecasts?
They are projections under stated assumptions. They are more reliable than many long-term estimates, but still depend on those assumptions.
Why does trust matter for resilience?
Because collective responses to crises depend on people’s willingness to follow guidance and cooperate.
Does Foresight Nexus make migration policy?
No. It convenes dialogue. Policy is decided by competent authorities.
由谁审查该主题的覆盖范围?
已发布的分析旨在由一位具名的主题审查人审查,引用其参考文献,并纳入独立专家的声音。当专家意见不一致时,如实报告分歧,而不是通过省略来消解分歧。
报告贡献

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报告 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.

全球风险论坛(Global Risks Forum)Foresight Nexus前瞻展望情景与压力测试
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