Bayes Business School, City, University of London
15 - 16 June 2023
The conference brings together academics and practitioners in areas including data science, analytics, machine learning, artificial intelligence, computational statistics and software, as applied in the insurance industry.
We were delighted to have Luca Baldassarre (Lead Data Scientist, Swiss Re), Rosalba Radice (Professor of Statistics, Bayes Business School) and Mark Sellors (Board member, Data Orchard) as our keynote speakers.
Abstract submission
Closes 3 March 2023
Registration
Open until 1 June 2023
5th Insurance Data Science Conference
15 - 16 June 2023
Abstract submission is open and closes in:
Please send your abstract by 3rd March 2023.
An abstract submission should include:
Please edit this Markdown template and send it to: submissio[email protected]
The submitted abstracts will be evaluated and selected by the scientific committee of the conference. Conference fees will be waived for speakers whose abstracts are accepted.
Presenters at the Insurance Data Science conference are encouraged to submit an article to the special issue of the Annals of Actuarial Science, on ‘Insurance analytics: prediction, explainability and fairness’. For more details, please see the call for papers.
Final programme to be published in April 2023, following review of abstract submissions
Registration will close 1 June 2023
| Ticket category | Fee |
|---|---|
| Industry practitioners | £550 |
| Academics | £250 |
| Students | £100 |
Register and buy your ticket via the City, University of London Online Store.
Please contact [email protected] for any invoice requests of the registration fee.
Note, conference fees will be waived for speakers whose abstracts are accepted.
Please contact us for sponsorship opportunities
Jumping Rivers combines data science consultancy and knowledge transfer with provision of managed software to support businesses in gaining invaluable insights from their data.
Posit: The open source data science company.
Mirai Solutions: Smarter analytics - better decisions
Markel: Bold ideas. Honest actions.
| Academic | Industry |
|---|---|
| Katrien Antonio (KU Leuven and University of Amsterdam) | Markus Gesmann (co-organiser, Insurance Capital Markets Research, London) |
| Arthur Charpentier (Université du Québec à Montréal) | Davide de March (Markel, London) |
| Gian Paolo Clemente (Università Cattolica del Sacro Cuore, Milano) | Grainne McGuire (Taylor Fry) |
| Christophe Dutang (LJK, Université Grenoble Alpes) | Wui Hua (John) Ng (Reinsurance Group of America) |
| Montserrat Guillén (Universitat de Barcelona) | Ronald Richman (Old Mutual Insure, South Africa) |
| Ioannis Kyriakou (co-organiser, Bayes Business School, City, University of London) | Markus Senn (Partner Re, Zurich) |
| Pietro Millossovich (co-organiser, Bayes Business School, City, University of London) | Jürg Schelldorfer (Swiss Re, Zurich) |
| Silvana Pesenti (University of Toronto) | Giorgio Alfredo Spedicato (Unipol Group, Milan) |
| Andreas Tsanakas (co-organiser, Bayes Business School, City, University of London) | |
| Mario Wüthrich (ETH Zurich) | |
| Diego Zappa (Università Cattolica del Sacro Cuore, Milano) | |
| Rui Zhu (co-organiser, Bayes Business School, City, University of London) | |
| Johanna Ziegel, (University of Bern) |
4th Insurance Data Science conference
3rd Insurance Data Science conference
2nd Insurance Data Science conference at ETH Zurich
1st Insurance Data Science conference, Cass Business School.
5th R in Insurance at Ecole Nationale de la Statistique
4th R in Insurance conference, Cass Business School.
3rd R in Insurance at University of Amsterdam
2nd R in Insurance at Cass Busines School London
1th R in Insurance at Cass Business School