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Casualty Actuarial Society Announces 2026 Individual Grant Recipients

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The Casualty Actuarial Society (CAS) is pleased to announce its 2026 Individual Research Grant Recipients and their winning proposals:

  1. “Motif Extraction for Driving Behaviour Analysis and Insurance Ratemaking”
    Sophia Chan and Andrei Badescu
     
  2. “Boosting and Deep Learning models for Crop Insurance Ratemaking. A Comparison with Traditional GLMs”
    Giorgio Alfredo Spedicato and Ronald Richman
     
  3. “Efficient Insurance Decisions under Model Uncertainty: A Practical Combined-Model and High-Performance Computing Approach”
    Junlei Hu and Xiaochun Meng
     
  4. “Leveraging AI to Enhance Disaster Response: Rare-Event Classification Using Weather Dynamics for Rapid Post-Event Loss Detection”
    Hyunwoo Huang
     
  5. “Micro-Level Insurance Claim Dynamic Modeling through Hidden Markov Renewal Model”
    Tsz Chai (Samson) Fung
     
  6. “Bayesian Spatio-Temporal Modeling of Extreme Snowfall in Texas Using Extreme Value Neural Network (EVNN)”
    Asim Kumer Dey
     
  7. “Transformer Neural Networks for Multivariate Loss Reserving: Capturing Complex Dependencies Across Lines of Business”
    Marco De Virgilis and Ethan Kang
     
  8. “Semi-supervised Machine Learning Algorithms for fraud Detection Using Imperfect Fraud Labels from Claims Analytics”
    Michelle Xia
     
  9. “Explainable automotive risk assessment with Telematics Data Via Structure Learning” (Cosponsored with the Society of Actuaries)
    Hyunwoong Chang and Himchan Jeong

Grant proposals are submitted through the Individual Grants Competition, jointly sponsored by the Casualty Actuarial Society and the Society of Actuaries’ Committee on Knowledge Extension Research. Projects may be theoretical or empirical in nature, but the key criterion is that the research should be a significant contribution to the advancement of knowledge in actuarial science. Chaired by Don Closter, ACAS, the Research Grants Task Force selected these CAS-funded projects from amongst 19 proposals. Posting in Variance are the goals of these research grant proposals.

An announcement for submitting proposals for the 2027 Individual Grants Competition will be announced later this year.