Actuaries and STatisticians endeavour to design innovative, inclusive insurance products in a changing RISK landscape.

Within this project a team of researchers from KU Leuven and UCLouvain works along three main research lines:

Research line 1

toolbox
STATISTICAL TOOLBOX

Clustering and regularization methods for high-dimensional multi-type insurance data

Dynamic risk prediction and prevention with a.o. cure and joint models

Research line 2

inclusive
INCLUSIVE INSURANCE


To contribute to a more inclusive and fair access to insurance

Research line 3

peer_to_peer
PEER-TO-PEER

Novel, transparent and actuarially sound risk sharing rules

To study P2P insurance solutions and to design effective, integrated risk management solutions

The project is funded by the Excellence of Science (EOS) 2021 call by FWO and FNRS.

Meet the team

Actuarial Expertise

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Jan Dhaene

KU Leuven

Quantitative Risk Measurement

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Katrien Antonio

KU Leuven

PI, Spokesperson-coordinator

Insurance Data Science

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Michel Denuit

UC Louvain

Risk Theory, P2P Insurance

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Donatien Hainaut

UC Louvain

PI

Statistical and Machine Learning

Statistical Expertise

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Anouar El Ghouch

UC Louvain

Quantile Regression

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Catherine Legrand

UC Louvain

Survival Analysis, Frailty Models, Joint Models

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Gerda Claeskens

KU Leuven

Model Selection

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Ingrid Van Keilegom

KU Leuven

Cure Models, Semiparametrics

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