This report presents the governance framework in Kazakhstan for managing disaster risks. A wide range of disaster risks are present throughout the national territory, primarily floods, landslides, avalanches, but also extreme cold and heatwaves. The report reviews how the central government sets up a national strategy to manage these disaster risks, and how a national risk governance framework is formulated and executed.

This report presents the governance framework in Kazakhstan for managing disaster risks. A wide range of disaster risks are present throughout the national territory, primarily floods, landslides, avalanches, but also extreme cold and heatwaves. The report reviews how the central government sets up a national strategy to manage these disaster risks, and how a national risk governance framework is formulated and executed. It examines the role of the private sector and other non-governmental actors in contributing to resilience at a national and subnational level.

This OECD Disaster Risk Governance Scan reviews Colombia’s progress in implementing the reform against the 2014 OECD Recommendation on the Governance of Critical Risks. The report identifies success factors and good practices in implementing the disaster risk reform agenda, focusing on central government policies and their implementation, and provides a set of recommendations to strengthen Colombia’s efforts in the future.

This report looks at how to curb corruption and build a more competitive economy in the Republic of Kazakhstan by assessing four crucial factors: governance, prevention, detection, and prosecution and recovery.

This publication outlines the substantial progress made in improving Kazakhstan’s procurement system, most notably implementing e-procurement. Drawing on international good practices, the review includes policy recommendations to help the government in Kazakhstan achieve further necessary reforms to meet international standards.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

This review analyses open government principles and practices in Indonesia, highlighting opportunities for - as well as barriers to - achieving the country’s public governance reforms.