Contributions are invited for a special issue of the Annals of Actuarial Science, to feature research on Mitigating emerging and large-scale risks.

Submission window: 1 December 2024 to 30 September 2025

Guest Editors:

Scope

The special issue focuses on the following emerging and large-scale risks:

  • Cyber risks: insurability of cyber and crypto risks; risk associated with cryptocurrencies and blockchain technologies; digital asset risks; internet of things (IoT) risks; risks arising from disruptions or failures of digital systems.
  • Climate change and sustainability: climate and environmental risks; weather-related risks and natural hazards; environmental, social, and governance (ESG) investing; sustainable development and its impact on insurance and risk management.
  • Artificial Intelligence (AI) and Machine Learning (ML) risks: generative AI and large language models (LLMs); model risks from deployment of AI/ML in actuarial practice; ethical considerations and societal impacts of AI/ML; governance of AI/ML in actuarial contexts.

To mitigate these risks, areas of interest include, but are not limited to:

  • Risk identification, quantification, and forecasting as applied to any of the areas above.
  • Adaptation and resilience strategies, including public-private partnerships (PPP) in disaster response and risk financing; blended finance approach for risk mitigation and reduction; regulatory frameworks for managing and mitigating emerging risks.
  • Insurability and risk sharing, including centralized risk transfer and decentralized / peer-to-peer risk sharing; blockchain and smart contracts in decentralized models; capital market solutions such as insurance-linked securities and catastrophe bonds.

This call aims to capture leading academic thinking, industry applications, and regulatory frameworks in any of the fields above, provided that the contribution has a clear relevance to insurance and/or utilizes methods from actuarial science. As the nature of emerging and large-scale risks often requires a collaborative approach, we also welcome contributions that are relevant to insurance while making use of interdisciplinary perspectives drawn from diverse fields such as climate science, economics, finance, and computer science. We encourage submissions that offer novel insights, theoretical developments, empirical analyses, or case studies.