Call for papers
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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)
![](https://www.google.com/images/icons/product/drive-32.png)
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).