Insurance Data Science Conference

Bayes Business School, City, University of London

15 - 16 June 2023

Insurance Data Science Conference

15 - 16 June 2023

Bayes Business School, City, University of London

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.

Key dates

  • Abstract submission

    Closes 3 March 2023

  • Registration

    Open until 1 June 2023

  • 5th Insurance Data Science Conference

    15 - 16 June 2023

Organisers

Call for abstracts

Abstract submission is open and closes in:

Please send your abstract by 3rd March 2023.

An abstract submission should include:

  • Name and affiliation of the speaker
  • Title of the presentation
  • Abstract of 10 to 20 lines and not more than 5 references

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.


Conference programme

Final programme to be published in April 2023, following review of abstract submissions

Draft programme outline

15 June 2023

  • 9.00 - 10:00 Keynote 1
  • 10.00 - 11.00 Contributed talks
  • 11.00 - 11.30 Coffee break
  • 11.30 - 12.00 Contributed talks
  • 12:00 - 13:00 Panel discussion
  • 13:00 - 14:00 Lunch break
  • 14.00 - 15.30 Contributed talks
  • 15.30 - 16.00 Coffee break
  • 16.00 - 17.00 Keynote 2
  • 18:00 - late Conference dinner

16 June 2023

  • 9.00 - 10.00 Keynote 3
  • 10.00 - 11.00 Contributed talks
  • 11.00 - 11.30 Coffee break
  • 11.30 - 13.00 Contributed talks
  • 13.00 - 13:15 Closing remarks

Keynote Speakers

Registration

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.

Sponsors and Partnerships

Please contact us for sponsorship opportunities

Gold Sponsor

Jumping Rivers

Jumping Rivers combines data science consultancy and knowledge transfer with provision of managed software to support businesses in gaining invaluable insights from their data.

Silver Sponsors

Posit

Posit: The open source data science company.

Mirai Solutions

Mirai Solutions: Smarter analytics - better decisions

Mirai Solutions

Markel: Bold ideas. Honest actions.

Scientific committee

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)

Recent Posts

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Past conferences

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Insurance Data Science conference 2022

4th Insurance Data Science conference

Insurance Data Science conference 2021

3rd Insurance Data Science conference

Insurance Data Science conference, Zurich 2019

2nd Insurance Data Science conference at ETH Zurich

Insurance Data Science, London 2018

1st Insurance Data Science conference, Cass Business School.

R in Insurance, Paris 2017

5th R in Insurance at Ecole Nationale de la Statistique

R in Insurance, London 2016

4th R in Insurance conference, Cass Business School.

R in Insurance, Amsterdam 2015

3rd R in Insurance at University of Amsterdam

R in Insurance, London 2014

2nd R in Insurance at Cass Busines School London

R in Insurance, London 2013

1th R in Insurance at Cass Business School

Contact