IDSC slides Hannover 2026

Keynotes:

• Frank Chang (Uber): Recent Developments in AI (Slides)
• Silvana Pesenti (University of Toronto): Modification and combination of dynamic models (Slides)

Contributed Talks:

• Carlos Arocha (Arocha & Associates GmbH): Practical Integration of Feed-Forward Networks into Core Actuarial Workflows (Slides)
• Hirbod Assa (University College Dublin, Model Library LTD): NatPar: Natural Parametric Modeling (Slides)
• David Atance (Universidad de Alcalá): LEDecomp. Life Expectancy Decomposition R package (Slides)
• Manuel Caccone (Italian Society of Actuaries): From Predictive Pricing to Fair Pricing: A Causal Fairness Audit Framework for Insurance Models (Slides)
• Raúl Cancino R. (AXA): Early Warning Systems (Slides)
• Mick Cooney (describedata.com): Bayesian Survival Analysis for Life Insurance Lapse Modelling: From Posterior Inference to Cashflow Projection (Slides)
• Karol Gawlowski (EY): Glassbox Models: Closing the Gap Between Transparency and Performance (Slides)
• Vincent Goulet (Université Laval): APIculture (Slides)
• Sascha Günther (ETH Zürich): Efficiently computing annuity conversion factors via feed-forward neural networks (Slides)
• Wiebke Hansen (Leibniz University Hannover, HDI AG): A Robust Framework to Balance Anti-Discrimination and Risk-Adequacy in Insurance Pricing (Slides)
• Andreas Hofmann (Harz University of Applied Sciences): Automation of risk modelling of wildlife vehicle collisions (Slides)
• Mohamed Hanafy Kotb Ibrahim (UNSW Sydney): Driving Behavior Bonus–Malus System: Enhanced Risk Classification Through Telematics and Neural Modeling (Slides)
• Artak Kamalyan, Natali Gzraryan (Plat.ai): Redefining Claim Severity: A Data-Driven Approach to Measuring the True Impact of Vehicle Accidents (Slides)
• Viktor Kessler (Vakamo inc): Governing AI at Scale: Trust, Access, and Open Standards Beyond Vendor Lock-In (Slides)
• Rajiv Krishnakumar (QuantumBasel): Enriching Motor Insurance Risk Models with Satellite Weather Reanalysis Data: Evidence from UK Road Accidents (Slides)
• Dion Krisnadi (HEC Lausanne): Advancing Cause-Specific Mortality Forecasting with Neural Networks and Data Augmentation (Slides)
• Michael Leitschkis, Abdal Chaudhry (Kynesis): From traditional proxy modelling to generative machine learning [Demo showcase] (Slides)
• Jake Morris (Allianz Commercial): Experience Credibility from Account Characteristics: A Logistic Extension of Bühlmann-Straub with Temporal Adaptation (Slides)
• Fallou Niakh (ENSAE): Federated Learning for the Design of Parametric Insurance Indices under Heterogeneous Renewable Production Losses (Slides)
• Daniel Nkameni (CREST): A GAN-based climate scenario generator for risk management and insurance: the case of drought (Slides)
• Luba Orlovsky (Earnix): Enriching Motor Insurance Risk Models with Satellite Weather Reanalysis Data: Evidence from UK Road Accidents (Slides)
• Grace Rigamonti Osorno (University of Macerata): Physics-Guided Open-Data CAT Bond Trigger Design for European Earthquake and Flood Risk (EuroCatFM) (Slides)
• Davide Rolfi (Bayes Business School): Optimal Sustainable Pension Investing (Slides)
• Saeid Safarveisi (KU Leuven): CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market (Slides)
• Sumesh Sheth (National Insurance Academy): Analysing the impact of India Stack on Indian Life Insurance (Slides)
• Andreas Tsanakas (Bayes Business School): Measuring proxy discrimination through model distortions (Slides)
• Nneka Umeorah (Cardiff University): Forecasting Market Volatility Through Dynamic Financial Networks (Slides)