Skip to main content

Homepage

Supporting risk research and the dissemination of risk-related knowledge

News

This project is led by Arthur Charpentier, Professor in the Department of Mathematics 
at the University of...

The SCOR-PSE Chair awarded the 2023 Junior Research Prize to Rohan Kekre, (the University of Chicago Booth...

In the era of big data and barely interpretable machine learning techniques, ensuring fairness and non-discrimination in predictive models poses a significant challenge for the insurance industry. The differentiation between high-risk and low-risk policyholders lies at the core of this sector. However, with insurers gathering increasingly extensive data, it is becoming more complex to distinguish between justified pricing based on risk, and unfair discrimination based on sensitive factors. As Kranzberg's first law of technology states: "Technology is neither good nor bad; nor is it neutral." To prevent adverse effects, it is therefore imperative to accurately measure discrimination.

TSE

The Foundation is part of SCOR's long-term commitment to risk research and the dissemination of risk-related knowledge.

Funded Projects

As its name indicates, the objective of the SCOR Corporate Foundation for Science is to support scientific research. The Foundation may lend its support to various kinds of risk and (re)insurance-related projects, including university chairs, research projects, conferences and publications.
Read more

Fairness of predictive models
Fairness of predictive models: an application to insurance markets
The effects of inflation on insurers’ performance and value
The effects of inflation on insurers’ performance and value
Green Innovation
Green Innovation to fight Climate Change
DNA-molecule-doctor-genetic
Aligning competitive morbidities and causes of early onset deaths
3rd_Alzheimer_prize
Apply for funding
Projects seeking the support of the SCOR Corporate Foundation may be addressed to:

SCOR Corporate Foundation
5, avenue Kléber
75795 Paris Cedex 16
fondation@scor.com