The EAA e-Conference on 'Data Science & Data Ethics' is back for its 6th edition on 14 May 2025, and we're opening the Call for Speakers! This fully online event will bring together actuaries and data science professionals from across Europe to explore cutting-edge developments. 🎤 Want to present your insights? We are seeking experts […]

While the actuarial community develops new ways to measure the economic impact of the risk posed by climate change, it is exceedingly important for actuaries to gain an understanding of how to use climate data, how to bridge the gap between climate models and actuarial projection models and how to produce relevant KPIs. Additionally, how […]

By the end of the web session, participants will leave with a toolkit of explainability techniques, an in-depth understanding of model interpretability, and the ability to use XAI approaches in practical actuarial applications. Participants will also understand mathematical principles behind key XAI techniques, evaluate the strengths and limitations of XAI methods, run a machine learning […]

While the Insurance Distribution Directive (IDD) has been in force in each EU member state since 2018 at the latest, its implementation has only become the focus of supervisory authorities in the last two years. Of particular importance are the requirements for the product approval process according to Article 25 IDD in connection with the […]

The purpose of this seminar is to equip actuaries with practical Python skills that they can apply directly to their professional work. Python offers powerful tools for data analysis, visualization, and machine learning, making it an invaluable asset in modern actuarial tasks. The seminar is structured to provide a mix of interactive learning methods. We […]

Quantifying Uncertainty in Actuarial Models: An Introduction to Conformal Prediction As the actuarial landscape becomes increasingly data-driven, traditional statistical methods are evolving, linking point estimates with quantifiable uncertainty. Conformal Prediction is a powerful framework used to evaluate the uncertainty of predictions. It turns point predictions into prediction regions, in this way, when you make a […]