Research
The Casualty Actuarial Society’s (CAS) Canada Race and Insurance Research Task Force is offering up to $50,000 (USD) to researchers to develop a research paper on potential for bias and/or unfair discrimination in geographical ratemaking in Canada influenced by climate risks.
Calls for Papers, Requests for Proposals, Membership / Notices to Members, Publications & Research, Research, Reserving
A new analysis by the Casualty Actuarial Society (CAS) and the Insurance Information Institute (Triple-I) finds that legal system abuse (LSA) and related litigation trends contributed to $231.6 billion to $281.2 billion found in increased liability insurance losses over the past decade, a surge that far exceeds what can be explained by economic inflation alone.
The Casualty Actuarial Society (CAS) and the Society of Actuaries (SOA) Research Institute's Committee on Knowledge Extension Research (CKER) announce the 2026 Individual Grant Competition to support the advancement of knowledge in actuarial science.
Requests for Proposals, Membership / Notices to Members, Publications & Research, Research, Reserving
The Casualty Actuarial Society (CAS) invites researchers outside the insurance industry, with expertise in modeling longitudinal data, to participate in a property-casualty insurance case study.
The Ratemaking Working Group selected to support four papers from a wide array of impressive proposals, and those works are now published and available to the property-casualty actuarial community.
The Casualty Actuarial Society (CAS) is offering up to $45,000 to fund research quantifying quantifies the impact of hurricane mitigation measures and associated premium credits.
Requests for Proposals, Extreme Event Modeling, Membership / Notices to Members, Publications & Research, Research
The Casualty Actuarial Society (CAS) is offering up to $45,000 for a research paper that provides guidance on pricing flood exposure.
The CAS and the American Risk and Insurance Association (ARIA) have awarded Denisa Banulescu‐Radu and Meryem Yankol‐Schalck the ARIA Prize for their paper, “Practical guideline to efficiently detect insurance fraud in the era of machine learning: A household insurance case.”
