Call for papers

The Steering Committee of the Data Science and Insurance Fraud Detection research initiative invites submissions of first class theoretical and/or empirical research papers. The call for applications relates to the following topics:

Data Science for Insurance fraud detection

Interpretability of machine learning methods

Governance of AI algorithms in the insurance sector

Pricing in insurance and fairness

Deadline: September 30, 2022 (to chaire.thelem@univ-orleans.fr)

Publication of results: November 2022

Awarded project:

• Predictive algorithms in insurance - causal approaches to discrimination and fairness, by Arthur Charpentier (Professor, University of Québec, Rennes University)

The Steering Committee of the Data Science and Insurance Fraud Detection research initiative invites submissions of first class theoretical and/or empirical research papers. The call for applications relates to the following topics:

Topic # 1 Insurance

- Impact of new technologies on the insurance offer

- Natural disaster risk insurance - Climate risk and insurance

- The impact of inflation on the insurance sector

- Data Science for insurance fraud detection

- Pricing in insurance and fairness

- Governance of AI algorithms in the insurance sector

- Interpretability of AI algorithms in the insurance sector

Topic # 2 Finance

- Detection of financial fraud (banking, insurance, social security contributions, etc.)

- Fight against money laundering and terrorism financing

Deadline: June 30, 2023 (to chaire.thelem@univ-orleans.fr)

Publication of results: September 2023

Awarded projects:

• Forecasting natural disaster frequencies using nonstationary count time series models, by Yang Lu (Assistant professor, Concordia University, Quebec, Canada).

• Copula-based fraud detection, by Maxime Dotta, Xavier Milhaud, Denys Pommeret (Aix-Marseille University, Ecole Centrale).