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Good practice Imported

RAHS & the Centre for Strategic Futures — Singapore's Whole-of-Government AI-Assisted Horizon Scanning Platform

Singapore · Singapore · See the Singapore profile · See the Singapore profile

Evidence: Descriptive / self-reported Top 36% 67/100 · Ask Evidence Copilot about this practice

Since 2004, Singapore's RAHS platform and its Centre for Strategic Futures have used agent-based modelling, Bayesian networks and data analytics to scan for emerging risks and build policy scenarios government-wide — one of the longest-running foresight systems in any government.

RAHS & the Centre for Strategic Futures — Singapore's Whole-of-Government AI-Assisted Horizon Scanning Platform

Details

Maturity
Established
Promoter
Centre for Strategic Futures & RAHS Programme Office, National Security Coordination Secretariat, Prime Minister's Office, Government of Singapore
Period
2004–present
Keywords
strategic foresight, horizon scanning, scenario planning, agent-based modelling, national security analytics

Context

RAHS (Risk Assessment and Horizon Scanning) is a shared computational platform built by Singapore's government in 2004 so analysts across agencies could collaborate on modelling, scenario generation and structured analysis of emerging risks instead of working in agency silos. In 2009 the government established the Centre for Strategic Futures (CSF), reporting to the Prime Minister's Office, to develop the methodology now known as 'Scenario Planning Plus' (SP+).

Activities

Techniques used include agent-based modelling, Bayesian networks and large-scale data analytics to stress-test how emerging trends might unfold.

Results

CSF published a fifteenth-anniversary retrospective in 2024 confirming the unit and its foresight practice are still operating. The OECD's Observatory of Public Sector Innovation has featured Singapore's foresight practice as an international case study, and Canada's IRPP Policy Options magazine has analysed RAHS/CSF as a reference model for government foresight.

Conclusions

Because RAHS/CSF work is tied to national security risk-scanning, most models, scenario outputs and accuracy assessments are not public; institutional durability and international recognition are well documented, but outcome evidence is inherently limited by classification.

Implementation

Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.

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Data sources

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