Insurance Data Science Conference

School of Mathematics and Statistics, University College Dublin

8 - 9 June 2027

Insurance Data Science Conference

8 - 9 June 2027

School of Mathematics and Statistics, University College Dublin

The conference brings together academics and practitioners in areas including data science, analytics, machine learning, artificial intelligence and InsurTech, as applied in the insurance industry.

We look forward to next year’s conference, which will take place on 8 - 9 June 2027 in University College Dublin, organised by the School of Mathematics and Statistics

Key dates

Abstract submission

Opens January 2027
Registration

Opens January 2027
9th Insurance Data Science Conference

8 - 9 June 2027

Organisers

Adrian O'Hagan, School of Mathematics and Statistics, University College Dublin
Andrew Smith, School of Mathematics and Statistics, University College Dublin
Fotios Mourdoukoutas, School of Mathematics and Statistics, University College Dublin
Hirbod Assa, School of Mathematics and Statistics, University College Dublin

Call for Abstracts

The call for abstracts will open in January 2027.

The draft conference programme will be published in early May 2027.

Registration

Registration will open in early 2027.

Recent News

IDSC slides Hannover 2026

Slides provided by the speakers

29 Jun 2026 3 min read Events

IDSC photo gallery Hannover 2026

Photos by Sabine Erdmann and Leon Rinke

24 Jun 2026 1 min read Events

IDSC photo gallery London 2025

All photos by Karen Hatch

26 Jun 2025 1 min read Events

Notes from the 2025 Insurance Data Science conference

A Resounding Success in London

24 Jun 2025 3 min read Events

Notes from the 6th Insurance Data Science conference

The 6th Insurance Data Science Conference (IDSC), held at Stockholm University, Department of Mathematics, 17 - 18 June 2024, concluded …

5 Jul 2024 2 min read Events

See all posts

Scientific Committee

Academic	Industry
Andreas Tsanakas (Bayes Business School)	Andreas Märkert (Hannover Re, Hanover)
Arthur Charpentier (Université du Québec à Montréal)	Can Baysal (Munich Re, Munich)
Bernard Wong (UNSW Sydney)	Claudio Giancaterino (Towards Innovation Lab, Italy)
Despoina Makariou (University of St Gallen)	Davide de March (Markel, London)
Filip Lindskog (Stockholm University)	Dylan Liew (Bupa, London)
Gregor Svindland (Leibniz Universität Hannover)	Giorgio Alfredo Spedicato (Unipol Group, Milan)
Ioannis Kyriakou (Bayes Business School)	Grainne McGuire (Optum)
Mario Wüthrich (RiskLab, ETH Zurich)	Jürgen Bierbaum (Alte Leipziger-Hallesche, Oberursel)
Mathias Lindholm (Stockholm University)	Jürg Schelldorfer (Swiss Re, Zurich)
Matthias Fahrenwaldt (RPTU, University of Kopenhagen)	Luca Baldassarre (Swiss Re, Zurich)
Matthias Scherer (TU Munich)	Marcela Granados (Databricks, New York)
Mike Ludkovski (UC Santa Barbara)	Markus Gesmann (ICMR, London)
Montserrat Guillén (Universitat de Barcelona)	Markus Senn (Partner Re, Zurich)
Munir Hiabu (University of Copenhagen)	Mick Cooney (Describe Data, Dublin)
Pietro Millossovich (Bayes Business School)	Ronald Richman (Johannesburg, South Africa)
Rui Zhu (Bayes Business School)	Thomas Schmidt (HDI Global SE, Hanover)
Salvatore Scognamiglio (University of Naples)	Wui Hua (John) Ng (Zurich Financial Services, Melbourne)
Silvana Pesenti (University of Toronto)
Stefan Weber (Leibniz Universität Hannover)