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Data analytics

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Working paper

Towards a measurement framework for people‑centred justice systems


Effective and people-centred justice systems function both as public services for people and as enabling systems for economic growth and good governance. Yet, justice data and measurement often reflect an institutional perspective that fails to capture people’s needs and experiences. This working paper proposes a measurement framework for people-centred justice systems to address these gaps.
Report

Understanding the role of price caps in NDIS markets


Price caps are a core regulatory tool of the National Disability Insurance Scheme (NDIS). This paper examines how market prices and service volumes responded to the July 2025 NDIS price caps adjustments. The results suggest that price cap adjustments affect both expenditure and service provision, highlighting a trade-off that warrants ongoing monitoring of provider behaviour.
Guide

Migration anticipation and preparedness


Governments face increasing pressure to respond swiftly and effectively to rapidly evolving international migration flows. Anticipation is key to this response, but remains a challenge. This guide offers measures to introduce, run and strengthen migration forecasting systems and preparedness strategies. It follows the forecasting lifecycle from problem definition to communication and system learning.
Briefing paper

Wages are not to blame for rising inflation


A detailed examination of data from the Reserve Bank of Australia (RBA) and Australia’s National Accounts reveals that wage growth is not responsible for the recent uptick in inflation. It concludes that the RBA’s latest interest rate hike fails to address the bigger driver of inflation – surging company profits – but it blames the...
Report

The OECD.AI index


The index provides governments with a robust framework to measure national artificial intelligence (AI) capabilities and track progress in implementing the OECD AI Recommendation. The index is intended as a policy-oriented tool to support evidence-based AI governance, facilitate international comparison and guide future monitoring of progress toward trustworthy AI.