Kind All, on behalf of the Steering Committee, I am pleased to inform you of the following deadline extensions for MAF2024. My apologies for any cross-posting. Best regards, Marco Corazza *11th International Conference* *MATHEMATICAL AND STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE - MAF2024* *University of Le Havre Normandie, Le Havre Cedex (FR) - April 4-6, 2024* *https://sites.google.com/unisa.it/maf-2024/ <https://sites.google.com/unisa.it/maf-2024/>* *(-)* *Deadline extension* *(1)* Abstract submission: *January 28, 2024 *- Notification of abstract acceptance: *February 10, 2024* *(2)* Paper submission: *January 14, 2024 *- Notification of paper acceptance: January 24, 2024 [unchanged] - The final version of the paper, revised according the peer review, must be sent by February 6, 2024 [unchanged] On this occasion, we would like to remind: *(-)* *Abstracts* can be submitted to *https://sites.google.com/unisa.it/maf-2024/call-for-papers <https://sites.google.com/unisa.it/maf-2024/call-for-papers>* (free format). *(-)* *Short papers* (4 to 6 pages) can be submitted to *https://sites.google.com/unisa.it/maf-2024/call-for-papers <https://sites.google.com/unisa.it/maf-2024/call-for-papers>*, according to the Springer template downloadable from *https://sites.google.com/unisa.it/maf-2024/conference-publications <https://sites.google.com/unisa.it/maf-2024/conference-publications>*. *(-)* Proposals for *organized sessions* have to be sent to *maf2024@orange.fr <maf2024@orange.fr>*. In the text, indicate please: name(s) and affiliation(s) of the organizer(s); title of the session; names, affiliations, and addresses of the speakers. *(-)* *Topics of interest* include (but are not limited to): Actuarial models; Analysis of high-frequency data; Artificial Intelligence; Behavioural finance; Blockchain technologies; Commodity markets analysis; Credit risk methods and models; Decentralized Finance; Digital asset analysis; ESG finance; FinTech and InsurTech; Financial econometrics; Forecasting of dynamical actuarial and financial phenomena; Fund performance evaluation; Insurance portfolio analysis; Interest rate models; Life insurance; Longevity; Machine Learning in actuarial sciences and finance; Management in insurance business; Methods and models for time series analysis; Models for financial derivatives; Multivariate techniques for financial analysis; Pensions; Optimization methods for insurance and finance; Pricing; Probability in actuarial sciences and finance; Real-world finance; Risk management; Solvency analysis; Sovereign risk; Static and dynamic portfolio selection and management; Text analysis in finance; Trading systems.